JP2006148251A - Scrambling apparatus and descrambling apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide technology of reducing time necessary for scrambling and its descrambling. <P>SOLUTION: A scramble parameter storage means 141 stores a scramble parameter indicating change contents in changing data as the scrambling. A scramble means 121 receives coded image data. The scramble means 121 reads the scramble parameter and rewrites part of the received image data. In this case, the scramble means 121 generates a decryption parameter denoting change contents when changing the image data as descrambling and stores the parameter to a restoration parameter storage means 142. The scramble means 121 outputs the image data after the rewriting. The decryption parameter storage means 142 outputs the produced restoration parameter. In descrambling the scrambling, a descrambling apparatus descrambles the scrambling on the basis of the restoration parameter. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a scramble processing device, a scramble processing method, and a scramble processing program for degrading image quality of an image, and to a scramble release device, a scramble release method, and a descrambling program for returning the image quality of a degraded image.

  Unlike analog content, digital content such as digital images and digital music is characterized in that it can be easily duplicated without degrading the original quality. Because of this feature, digital content is easily copied and distributed illegally, and copyright protection and content protection are required. As a content protection for digital images, it is considered to scramble the image area. The scrambling process for an image is a process for degrading the image quality of the original image. Degrading the image quality means lowering the SNR (Signal-to-Noise Ratio). In other words, the scramble process is a process of lowering the SNR of the original image. It is considered as an effective method for content protection that the right holder holds the key for canceling this scramble process and viewing a normal image.

  When the image quality is deteriorated by the scramble process, the scramble process may be performed so that the contents of the image can be recognized to some extent. By such a scramble process, a person who does not have the right to view an image wants to view all the contents of the image, and an appealing effect of acquiring the right to view the image can be obtained.

  Various methods have been proposed so far as scrambling methods. For example, Patent Document 1 proposes a method of performing scramble processing by exchanging data of each frequency band (referred to as subband) of an image. By dividing the image data into a plurality of frequency bands (subbands), it is possible to obtain an array of data corresponding to each subband. For example, an array of data of LL components constituting the resolution 0 level, HL1, HH1, LH1 components constituting the resolution level 1, and HL2, HH2, LH2 components constituting the resolution level 2 is created. In addition, an index is created to change the order of the data. Then, according to the index, for example, the HL1 component and the HL2 component are exchanged, and the HH1 component and the LH1 component are exchanged to perform the scramble processing. Further, Patent Document 1 describes a method of rearranging bit planes in addition to a method of rearranging subbands. Content protection is realized by the scramble processing described in Patent Document 1.

  Patent Document 2 proposes a method of partially scrambling encoded data of an image by JPEG (Joint Photographic Experts Group) 2000. In JPEG2000, the arrangement order of encoded data can be controlled. For example, it is possible to control the arrangement order from a small resolution to a large resolution, the arrangement order from low to high image quality, and the arrangement order of R (red), G (green), and B (blue) components in an RGB image. Patent Document 2 proposes a method of performing encryption on encoded data having a specific resolution level among encoded data having the arrangement order of resolutions. With the processing described in Patent Document 2, security, copyright protection, and privacy protection can be realized.

  Patent Document 3 describes an image processing method that uses a frequency coefficient representing a luminance component of an image compressed by JPEG or JPEG 2000 as an embedded area of a digital watermark. In the image processing method described in Patent Document 3, the bit region of the frequency coefficient is replaced with a scramble bit string according to the strength of the digital watermark. The bit area to be replaced is determined based on the given visible intensity, the bit information to be replaced is calculated by a random number, and a scramble process is performed by performing a reversible logical operation on the bit area. By the image processing method described in Patent Document 3, a reversible visible digital watermark can be realized.

  Patent Document 4 describes an image processing apparatus that embeds an electronic watermark by changing a portion of subbands designated by position information called a matrix.

  Further, although not a technique for the purpose of scramble processing, Patent Document 5 describes a video signal encoding method for reducing a quantized orthogonal transform coefficient in order to reduce the amount of encoded data.

JP 2001-218184 A (paragraphs 0016-0060, FIG. 4) JP 2003-153228 A (paragraph 0020, paragraphs 0079-0085) JP 2004-40237 A (paragraph 0186-0215) JP 2002-325170 A (paragraph 0011) JP 2002-232888 (paragraph 0016)

  Conventional scramble processing has a problem that it takes time. For example, in the scramble process described in Patent Document 1, an index describing the order in which the subband data is replaced is used. Index creation requires complicated numerical calculations, and it is necessary to refer to the index when data is exchanged, which requires a large amount of processing and takes processing time. In the scramble process described in Patent Document 2, since the scramble process by the encryption is performed on the encoded data that greatly affects the image quality, the encryption process takes time. Further, the image processing method described in Patent Document 3 requires processing time because it is necessary to calculate bit information used for the scramble process, and a logical operation is performed on each bit in the bit area to be replaced.

  Further, it is preferable that not only the time required for the scramble process but also the time required for releasing the scramble process is short. Further, it is preferable that the provider of the image to be scrambled can adjust the degree of image quality deterioration.

  Therefore, an object of the present invention is to shorten the time required for the scramble process. Another object of the present invention is to shorten the time required for releasing the scramble process. It is another object of the present invention to adjust the degree of image quality deterioration in scramble processing.

  A scramble processing apparatus according to the present invention is a scramble processing apparatus that performs a scramble process that degrades the image quality of an image, and rewrites encoded image data based on a scramble parameter that indicates a change in data during the scramble process. Thus, the scrambler includes a scramble unit that performs scramble processing, and an image data output unit that outputs image data rewritten by the scrambler.

  A scramble parameter storage means for storing scramble parameters may be provided, and the scramble means may rewrite image data based on the scramble parameters stored by the scramble parameter storage means.

  A scramble parameter setting means for displaying a graphical user interface and setting a scramble parameter in accordance with information input via the graphical user interface, wherein the scramble means is configured to display an image based on the scramble parameter set by the scramble parameter setting means. It may be configured to rewrite data. According to such a configuration, the administrator of the scramble processing apparatus can easily adjust the scramble parameters, and as a result, the degree of image quality degradation can be easily adjusted to a desired level.

  Based on the scramble parameter, a configuration may be provided that includes a restoration parameter generation unit that generates a restoration parameter indicating the content of image data change at the time of descrambling, and a restoration parameter output unit that outputs the restoration parameter. According to such a configuration, the scramble process can be canceled based on the restoration parameter.

  Based on the scramble parameter, a restoration parameter generation means for generating a restoration parameter indicating the change contents of the image data at the time of descrambling, and a key for converting the restoration parameter into key data that cannot be recognized by the descrambling means for releasing the scrambling process A configuration including data generation means and key data output means for outputting key data may be used. According to such a configuration, only the person who has the descrambling device that can convert the key data into the restoration parameter can view the original image.

  The scramble means may be configured to rewrite data indicating the dynamic range of the subband coefficients included in the JPEG 2000 image data based on the scramble parameter.

  The scramble means may be configured to rewrite the quantization table included in the JPEG image data based on the scramble parameter.

  The scramble processing apparatus according to the present invention is a scramble processing apparatus that performs a scramble process that degrades the image quality of an image, and includes an orthogonal transform unit that orthogonally transforms input image data, and data changes during the scramble process. A scramble unit that performs scramble processing by rewriting data specified in the scramble parameter based on the scramble parameter shown, and an encoding unit that encodes image data that has been orthogonally transformed by the orthogonal transform unit. It is characterized by that.

  The scramble means may rewrite the image data orthogonally transformed by the orthogonal transform means based on the scramble parameter, and the encoding means may encode the image data rewritten by the scramble means.

  A configuration may be provided that includes encoded data shaping means for rearranging data included in the image data encoded by the encoding means in a predetermined priority order. According to such a configuration, it is possible to efficiently perform decoding with an emphasis on predetermined specific elements (for example, resolution, image quality, etc.).

  The orthogonal transform unit may divide the image data into subbands by wavelet transform, and the scramble unit may rewrite the subband coefficients of the subband specified by the scramble parameter.

  Quantization table storage means for storing a quantization table for quantizing image data after orthogonal transformation and quantization means for quantizing the image data after orthogonal transformation using the quantization table The means encodes the quantized image data, the scramble means reads the quantization table from the quantization table storage means, rewrites the quantization table based on the scramble parameters, and rewrites the encoded image data. Alternatively, a configuration provided with encoded data shaping means for adding a quantization table may be used.

  A scramble parameter storage means for storing the scramble parameters may be provided, and the scramble means may rewrite data designated by the scramble parameters based on the scramble parameters stored by the scramble parameter storage means.

  A scramble parameter setting means for displaying a graphical user interface and setting a scramble parameter according to information input via the graphical user interface, the scramble means based on the scramble parameter set by the scramble parameter setting means, The configuration may be such that the data specified in the scramble parameter is rewritten. According to such a configuration, the administrator of the scramble processing apparatus can easily adjust the scramble parameters, and as a result, the degree of image quality degradation can be easily adjusted to a desired level.

  Based on the scramble parameter, a configuration may be provided that includes a restoration parameter generation unit that generates a restoration parameter indicating the content of image data change at the time of descrambling, and a restoration parameter output unit that outputs the restoration parameter. According to such a configuration, the scramble process can be canceled based on the restoration parameter.

  Based on the scramble parameter, a restoration parameter generation means for generating a restoration parameter indicating the change contents of the image data at the time of descrambling, and a key for converting the restoration parameter into key data that cannot be recognized by the descrambling means for releasing the scrambling process A configuration including data generation means and key data output means for outputting key data may be used. According to such a configuration, only the person who has the descrambling device that can convert the key data into the restoration parameter can view the original image.

  Further, the descrambling apparatus according to the present invention receives image data input means for inputting image data that has been subjected to scramble processing that degrades the image quality of the image, and a restoration parameter that indicates the change contents of the image data at the time of descrambling. And a scramble release means for releasing the scramble process by rewriting the image data input to the image data input means based on the restoration parameter.

  Further, the descrambling apparatus according to the present invention is a descrambling apparatus provided with a descrambling means for canceling a scramble process for degrading the image quality of an image, and an image data input means for inputting image data subjected to the scramble process. A key data input means for inputting key data obtained by converting the restoration parameter indicating the change of the image data at the time of descrambling to an unrecognizable state by the descrambling means, and a key parameter input to the key data input means. And a scramble release unit that rewrites the image data input to the image data input unit based on the restoration parameter converted by the key data conversion unit, thereby releasing the scramble process. It is characterized by that.

  The configuration may be such that the descrambling means rewrites the data indicating the dynamic range of the subband coefficients included in the JPEG 2000 image data based on the restoration parameter.

  The descrambling means may rewrite the quantization table included in the JPEG image data based on the restoration parameter.

  The descrambling apparatus according to the present invention also includes an image data input means for inputting image data that has been subjected to scramble processing and encoding processing for degrading the image quality of the image, and a restoration that indicates changes in the image data at the time of descrambling. Restoration parameter input means for inputting parameters, decoding means for decoding image data input to the image data input means, and descrambling means for canceling scramble processing by rewriting image data based on the restoration parameters It is characterized by having.

  The descrambling apparatus according to the present invention is a descrambling apparatus including a descrambling means for canceling a scramble process for degrading the image quality of the image, wherein the scramble process and the encoding process for degrading the image quality of the image are performed. Image data input means for inputting image data, key data input means for input of key data obtained by converting the unscrambler into unrecognizable restoration parameters indicating changes in image data at the time of descrambling, and key data input Key data conversion means for converting the key data input to the means into a restoration parameter, decryption means for decoding the image data input to the image data input means, and an image based on the restoration parameter converted by the key data conversion means Cancel scramble processing by rewriting data Characterized in that a scrambling cancel unit.

  The image data input means is configured to receive JPEG 2000 image data, the decoding means decodes the JPEG 2000 image data, and the descrambling means rewrites the subband coefficients in the decoded image data based on the restoration parameter. May be.

  The image data input means may be configured such that JPEG image data is input and the descrambling means rewrites the quantization table included in the JPEG image data based on the restoration parameter.

  The scramble processing method according to the present invention is a scramble processing method for performing a scramble process for degrading the image quality of an image, wherein the scramble means is encoded based on a scramble parameter indicating data change contents during the scramble process. The scramble processing is performed by rewriting the image data, and the image data output means outputs the image data rewritten by the scramble means.

  The scramble processing method according to the present invention is a scramble processing method for performing a scramble process for degrading the image quality of an image, wherein an orthogonal transform unit orthogonally transforms input image data, and the scramble unit performs a scramble process. Based on the scramble parameter indicating the data change content, the data specified by the scramble parameter is rewritten to perform a scramble process, and the encoding means encodes the image data after being orthogonally transformed by the orthogonal transform means. It is characterized by that.

  Further, in the descrambling method according to the present invention, the image data input means acquires the image data subjected to the scramble processing for degrading the image quality of the image, and the restoration parameter input means indicates the change contents of the image data at the descrambling. The restoration parameter shown is acquired, and the scramble release means releases the scramble process by rewriting the image data obtained by the image data input means based on the restoration parameter.

  The descrambling method according to the present invention is a descrambling method using descrambling means for canceling a scramble process that degrades the image quality of an image, and the image data input means acquires the image data subjected to the scramble process. Then, the key data input means acquires key data obtained by converting the restoration parameter indicating the change contents of the image data at the time of descrambling to be unrecognizable by the descrambling means, and the key data conversion means is acquired by the key data input means. The key data is converted into a restoration parameter, and the scramble release means releases the scramble process by rewriting the image data acquired by the image data input means based on the restoration parameter converted by the key data conversion means. And

  In the descrambling method according to the present invention, the image data input means obtains image data that has been subjected to scramble processing and encoding processing that degrades the image quality of the image, and the restoration parameter input means uses the image data at the time of descrambling. The restoration parameter indicating the content of the change is acquired, the decoding unit decodes the image data acquired by the image data input unit, and the descrambling unit rewrites the image data based on the restoration parameter, thereby canceling the scramble process. It is characterized by that.

  The descrambling method according to the present invention is a descrambling method using descrambling means for canceling a scramble process that degrades the image quality of an image, wherein the image data input means is a scramble process and code that degrades the image quality of the image. The key data input means obtains key data obtained by converting the restoration parameter indicating the change contents of the image data at the time of descrambling to be unrecognizable by the descrambling means, and converts the key data. The means converts the key data obtained by the key data input means into a restoration parameter, the decryption means decrypts the image data obtained by the image data input means, and the descrambling means converts the restoration converted by the key data conversion means. Scrambling by rewriting image data based on parameters And cancels the process.

  A scramble processing program according to the present invention is a scramble process program for causing a computer to execute a scramble process for degrading the image quality of an image, and based on a scramble parameter indicating the data change contents during the scramble process. And a process of rewriting the encoded image data and a process of outputting the rewritten image data.

  A scramble processing program according to the present invention is a scramble process program for causing a computer to execute a scramble process that degrades the image quality of an image. Based on a scramble parameter indicating the data change content, a process of rewriting the data designated by the scramble parameter and a process of encoding the image data after orthogonal transformation are executed.

  Further, the descrambling program according to the present invention is a computer for acquiring image data that has been subjected to scramble processing that degrades the image quality of the image, a process for acquiring a restoration parameter indicating changes in image data at the time of descrambling, And the process which cancels | releases a scramble process is performed by rewriting the acquired image data based on a restoration parameter, It is characterized by the above-mentioned.

In addition, the descrambling program according to the present invention makes it impossible for the computer to recognize a process for obtaining image data that has been subjected to scramble processing that degrades the image quality of the image, and a restoration parameter that indicates changes in the image data at the time of descrambling. Processing for acquiring key data converted into, processing for converting key data into restoration parameters, and processing for canceling scrambling processing by rewriting the acquired image data based on the restoration parameters. .

  In addition, the descrambling program according to the present invention provides a computer with processing for obtaining image data that has been subjected to scramble processing and encoding processing that degrades the image quality of the image, and restoration parameters that indicate changes to the image data during descrambling. It is characterized in that a process for acquiring, a process for decoding the acquired image data, and a process for canceling the scramble process by rewriting the image data based on the restoration parameter are executed.

  In addition, the descrambling program according to the present invention provides a computer with processing for obtaining image data that has been subjected to scramble processing and encoding processing that degrades the image quality of the image, and restoration parameters that indicate changes to the image data during descrambling. Processing to acquire key data converted to unrecognizable by the computer, processing to convert key data into restoration parameters, processing to decrypt acquired image data, and rewrite image data based on restoration parameters to cancel scramble processing It is characterized in that the processing is performed.

  According to the present invention, since the scramble process is performed by rewriting data based on the scramble parameter, the time required for the scramble process can be shortened. Further, since the scramble process is canceled by rewriting data based on the restoration parameter, the time required for the descrambling can be shortened.

  Next, the best mode for carrying out the present invention will be described in detail with reference to the drawings.

Embodiment 1 FIG.
In the first embodiment, a scramble processing device that performs scramble processing on pre-encoded image data and a descrambling device that cancels the scramble processing of the image data will be described. Examples of pre-encoded image data include JPEG 2000 and JPEG image data. However, the encoded image data to be scrambled in the present embodiment is not limited to JPEG2000 or JPEG image data.

  FIG. 1 is a block diagram showing a first embodiment of a scramble processing apparatus according to the present invention. The scramble processing apparatus is managed by the image data provider. The scramble processing device includes a data processing device 120 and a data storage device 140. The data processing device 120 receives encoded image data from the input device 110. Further, the data processing device 120 outputs the scrambled image data to the output device 150.

  The input device 110 only needs to provide the encoded image data to the data processing device 120. For example, a server that transmits image data to the data processing device 120 via a communication network may be used. Further, for example, a digital camera or a scanner device that inputs image data to the data processing device 120 may be used. Alternatively, it may be a storage device that stores image data, such as a hard disk device. Further, the data processing device 120 may read the image data from a storage medium such as a floppy disk (registered trademark) or a CD-ROM storing the image data instead of the input device 110. Although not shown, the data processing device 120 includes an interface corresponding to the input device 110, and image data is input via the interface. In the case of a configuration in which image data is read from a storage medium that stores image data, the data processing device 120 includes a data reading device (for example, a floppy disk (registered trademark) driver, a CD-ROM driver, The image data is read by the data reading device.

  The output device 150 only needs to output the scrambled image data from the data processing device 120. For example, a server that receives image data from the data processing apparatus 120 via a communication network may be used. Further, it may be a storage device that stores image data, such as a hard disk device. Further, the image data may be output (stored) on a storage medium such as a floppy disk (registered trademark) or a CD-ROM instead of the output device 150. Although not shown, the data processing device 120 includes an interface corresponding to the output device 150 and outputs image data via the interface. In the case of a configuration for outputting image data to a storage medium, the data processing device 120 is a data writing device (for example, a floppy disk (registered trademark) driver or a CD-ROM driver, not shown) corresponding to the storage medium. And image data is output to a storage medium by a data writing device.

  The data processing device 120 includes scramble means 121. The scramble unit 121 performs a scramble process on the input image data. Then, the scrambled image data is output to the output device 150. The scramble means 121 is realized by, for example, an arithmetic processing device that operates according to a program. The program may be stored in advance in a storage device (not shown) included in the data processing device 120.

  The data storage device 140 includes scramble parameter storage means 141 and restoration parameter storage means 142.

  The scramble parameter storage unit 141 stores scramble parameters. The scramble parameter is data indicating change contents when data is changed as a scramble process. In the present embodiment, the scramble parameter includes a location where data in image data is rewritten and a value to be rewritten. For example, the scramble parameter is stored as data indicating what byte is rewritten to what value from the top of the image data. Note that the combination of the rewritten portion of the image data designated by the scramble parameter and the rewritten value is not limited to one. The scramble parameter storage unit 141 stores scramble parameters determined so that the degree of image quality degradation is a level desired by the image data provider.

  The restoration parameter storage unit 142 stores restoration parameters. The restoration parameter is data indicating change contents when changing the image data as the descrambling process. In the present embodiment, the restoration parameter includes a location where data in image data is rewritten and a value to be rewritten. For example, the restoration parameter is stored as data indicating what number of bytes from the top of the image data is rewritten to what value. The value of the data to be rewritten included in the restoration parameter is the value of the data originally included in the image data before the scramble process is executed. The restoration parameter is used when a descrambling device described later releases the scramble process.

  Further, the restoration parameter storage unit 142 outputs the restoration parameter to the output device 150. Although not shown, the data storage device 140 includes an interface corresponding to the output device 150, and outputs a restoration parameter via the interface. Further, the restoration parameter may be output to a storage medium such as a floppy disk (registered trademark) or a CD-ROM. In this case, the data storage device 140 includes a data writing device (not shown) corresponding to the storage medium. The restoration parameter storage unit 142 outputs the restoration parameters to the output device 150 via an interface corresponding to the output device 150 or a data writing device corresponding to the storage medium.

  The scramble unit 121 reads the scramble parameter from the scramble parameter storage unit 141, and changes the input image data according to the scramble parameter. Since the scramble parameter designates the location and the value to be rewritten in the image data, the scramble means 121 may rewrite the designated location in the image data to the designated value. The scramble means 121 performs scramble processing by rewriting data in the image data in this way. Then, the scramble unit 121 outputs the scrambled image data to the output device 150 via an interface corresponding to the output device 150 or a data writing device (not shown) corresponding to the storage medium. In addition, the scramble unit 121 generates a restoration parameter and stores it in the restoration parameter storage unit 142. The scramble means 121 may use the data rewrite location designated by the scramble data and the original data included in the image data before being rewritten according to the scramble parameter as the restoration parameters.

  FIG. 1 shows a case where the restoration parameter storage unit 142 outputs restoration parameters to the output device 150 that outputs image data. The restoration parameter storage unit 142 may output the restoration parameter to an output device that is separate from the output device 150 that outputs the image data.

  A case where JPEG2000 image data is input from the input device 110 will be described as an example. JPEG2000 image data is encoded data and includes a header. The header has a portion indicating the dynamic range of subband coefficients of data before encoding. The scramble parameter storage unit 141 may store a scramble parameter for designating rewriting the part indicating the dynamic range to a predetermined value. The scramble means 121 rewrites the portion indicating the dynamic range in the input image data according to the scramble parameter. As a result, the data of the dynamic range indicated by the header is different from the original dynamic range. Therefore, when this JPEG2000 image data is decoded and displayed as it is, it is displayed with the image quality deteriorated. The scramble unit 121 stores the data rewrite location specified by the scramble parameter and the original dynamic range before the rewrite in the restoration parameter storage unit 142 as a restoration parameter.

  A case where JPEG image data is input from the input device 110 will be described as an example. In JPEG, image data is quantized using a quantization table, and then encoded. At the time of image display, the image data is decoded, and then inverse quantization is performed using a quantization table. JPEG image data includes additional information having this quantization table. The scramble parameter storage unit 141 may store a scramble parameter that designates that the portion indicating the quantized data is rewritten to a predetermined value. The scramble means 121 rewrites the part indicating the quantization table in the input image data according to the scramble parameter. As a result, the quantization table is different from the original quantization table. Accordingly, when the JPEG image data is decoded as it is and displayed after being dequantized, the image quality is displayed in a deteriorated state. In addition, the scramble unit 121 stores the data rewrite location specified by the scramble parameter and the original quantized data before the rewrite in the restoration parameter storage unit 142 as a restoration parameter.

  FIG. 2 is a block diagram showing a first embodiment of a descrambling apparatus according to the present invention. The descrambling device is managed by a person who is provided with image data (image data recipient). The scramble release apparatus 170 includes a scramble release means 171 and an input means 172. The descrambling device 170 receives the image data scrambled by the scramble unit 121 and the restoration parameter from the input device 110. Further, the descrambling device 170 outputs the image data from which the scrambling process has been canceled to the output device 190.

  The input device 160 only needs to provide the scrambled image data and the restoration parameter to the descrambling device 170. The input device 160 may be a server or a storage device that stores image data, like the input device 110 shown in FIG. Alternatively, the descrambling device 170 may read the image data and the restoration parameter from a storage medium (for example, a CD-ROM) that stores the scrambled image data and the restoration parameter.

  The output device 190 only needs to output image data from which the scramble processing has been canceled from the data processing device 120. The output device 190 may be a server or a storage device that stores image data, like the output device 150 shown in FIG. Moreover, the structure which outputs image data to a storage medium (for example, CD-ROM etc.) may be sufficient. Although not shown, the descrambling device 170 includes an interface corresponding to the output device 190, and outputs image data via the interface. In the case where the image data is output to the storage medium, the descrambling device 170 includes a data writing device corresponding to the storage medium, and the data writing device outputs the image data to the storage medium.

  The input unit 172 is an interface corresponding to the input device 160 (or a data reading device corresponding to the storage medium). 2 shows a case where the input device 160 provides the image data and the restoration parameter to the descrambling device 170. However, the input device that provides the image data and the input device that provides the restoration parameter are separately provided. It may be provided.

  The scramble release means 171 receives the scrambled image data and the restoration parameter from the input device 160 via the input means 172. Then, the scramble release means 171 releases the scramble process by returning the input image data to the original image data (image data before the scramble process) according to the restoration parameter. The restoration parameter designates a portion in which image data is rewritten and a value to be rewritten (that is, a value before scramble processing). The descrambling means 171 may rewrite the designated part in the image data with the designated value. Then, the descrambling means 171 outputs the image data after the descrambling process to the output device 190 via an interface corresponding to the output device 190 or a data writing device (not shown) corresponding to the storage medium. The scramble release means 171 is realized by, for example, an arithmetic processing device that operates according to a program. The program may be stored in advance in a storage device (not shown) included in the descrambling device 170.

  An example in which scrambled JPEG 2000 image data is input from the input device 160 will be described. In this case, the restoration parameter input from the input device 160 designates a portion indicating the dynamic range of the subband coefficient in the header of the image data as a location where data is rewritten. In addition, the dynamic range of the original subband coefficient before scramble processing is designated as a value to be rewritten. The descrambling means 171 rewrites the portion indicating the dynamic range in the input image data according to the restoration parameter. As a result, the dynamic range data indicated by the header returns to the original dynamic range data. Therefore, if this JPEG2000 image data is decoded and displayed, an image having the same image quality as the original image data is not displayed.

  An example in which scrambled JPEG image data is input from the input device 160 will be described. In this case, the restoration parameter input from the input device 160 specifies a portion indicating a quantization table. In addition, the original quantization table before the scramble process is designated as a value to be rewritten. The descrambling means 171 rewrites the part indicating the quantization table in the input image data according to the restoration parameter. As a result, the quantization table included in the image data returns to the original quantization table. Therefore, if this JPEG image data is decoded, dequantized and displayed, an image having the same image quality as the original image data is not displayed.

Next, the operation will be described.
FIG. 3 is a flowchart showing the operation of the scramble processing apparatus in the first embodiment. First, the scramble means 121 receives image data (encoded image data in the present embodiment) to be scrambled from the input device 110 (step S1). Next, the scramble unit 121 reads the scramble parameter from the scramble parameter storage unit 141, and executes the scramble process on the image data (step S2). In step S2, the scramble unit 121 rewrites the designated portion in the image data to the designated value in accordance with the designation of the scramble parameter.

  Subsequently, the scramble unit 121 generates a restoration parameter and stores the restoration parameter in the restoration parameter storage unit 142 (step S3). In step S3, the scramble means 121 uses the data rewrite location specified by the scramble data and the original data included in the image data before rewriting according to the scramble parameter as the restoration parameters.

  As described above, the combination of the rewritten portion of the image data and the rewritten value specified by the scramble parameter is not limited to one. After step S3, the scramble unit 121 determines whether or not all the data specified by the scramble parameter has been rewritten (step S5). If there is a portion where data has not been rewritten yet, the process proceeds to step S2, and the operations after step S2 are repeated. At this time, in step S 3, the generated restoration parameter may be additionally stored in the restoration parameter storage unit 142.

  If it is determined that all the data specified by the scramble parameter has been rewritten, the scramble unit 121 outputs the image data subjected to the scramble process by the data rewrite to the output device 150 (step S6). In addition, the scramble unit 121 causes the restoration parameter storage unit 142 to output the restoration parameter to the output device 150.

  FIG. 4 is a flowchart showing the operation of the descrambling apparatus 170 according to the first embodiment. The scramble release means 171 receives the image data subjected to the scramble process and the restoration parameter from the input device 160 (steps S11 and S12). Either the image data or the restoration parameter may be input first.

  Next, the scramble releasing means 171 releases the scramble process applied to the image data (step S13). In step S13, the descrambling means 171 rewrites the designated location in the image data to the designated value (original value before scramble processing) according to the designation of the restoration parameter.

  Subsequently, the descrambling unit 171 determines whether or not all the data specified by the restoration parameter has been rewritten (step S14). If there is a portion where data has not been rewritten yet, the process proceeds to step S13, and the operations after step S13 are repeated. If it is determined that all the data specified by the restoration parameter has been rewritten, the descrambling unit 171 outputs the image data that has been scrambled by the data rewriting to the output device 190 (step S15).

  According to the first embodiment, the scramble unit 121 can realize the scramble process only by rewriting the image data according to the scramble parameter. Accordingly, it is not necessary to perform encryption processing on the encoded image data, and the scramble processing is completed only by rewriting the data, so that the scramble processing can be performed at high speed. Similarly, the scramble canceling means 171 can realize the release of the scramble process only by rewriting the image data according to the restoration parameter. Therefore, the scramble process can be released at high speed.

  In the first embodiment, the case where the scramble parameter storage unit 141 stores scramble parameters in advance has been described. When image data is input to the scramble unit 121 (step S1), the data storage device 140 receives a scramble parameter from the input device 110 as a file and stores the scramble parameter in the scramble parameter storage unit 141. There may be. By changing the value of the input scramble parameter stepwise, the scramble parameter stored in the scramble parameter storage unit 141 also changes stepwise. As a result, the degree of image quality deterioration can be gradually changed, and the degree of image quality deterioration can be adjusted.

  Further, the scramble parameter may be data designating addition of data. In this case, the scramble parameter includes an additional portion of data in the image data and added data (dummy data). For example, in the case of JPEG2000 image data, adding dummy data before and after the main header, tile header, or tile data makes it impossible to read image data or display images normally when displaying images. Or Therefore, the scramble parameter may include a main header, a tile header, a portion before and after the tile data, and dummy data. The scramble means 121 may add dummy data to the image data in accordance with such scramble parameters. In this case, the scramble unit 121 may generate the data indicating the position of the dummy data and the dummy data as the restoration parameter. Then, the scramble canceling means 171 may cancel the scramble process by deleting the dummy data according to the restoration parameter.

Embodiment 2. FIG.
Also in the second embodiment, the object of the scramble process is image data encoded in advance as in the first embodiment. In the second embodiment, the restoration parameter is converted into data that cannot be recognized by the descrambling means in the descrambling device, and the converted data (key data) is passed to the descrambling device. Then, the descrambling device converts the key data into a restoration parameter, and releases the scrambling process based on the restoration parameter. The scramble parameter and restoration parameter in the second embodiment are the same as the scramble parameter and restoration parameter in the first embodiment.

  FIG. 5 is a block diagram showing a second embodiment of the scramble processing apparatus according to the present invention. Components and apparatuses similar to those shown in FIG. 1 are denoted by the same reference numerals as those in FIG. The scramble processing device includes a data processing device 220 and a data storage device 240.

  The data processing device 220 includes key data generation means 222 in addition to the scramble means 121. The key data generation unit 222 reads the restoration parameter stored in the restoration parameter storage unit 242 and converts it into unrecognizable data by a descrambling unit 271 (see FIG. 6) described later. Data after the restoration parameter is converted to unrecognizable by the descrambling means 271 is referred to as key data. The mode of conversion to key data may be, for example, encryption, or may be conversion of the data structure of the restoration parameter, for example. The key data generating unit 222 outputs the key data to the output device 150 via an interface corresponding to the output device 150 or a data writing device (not shown) corresponding to the storage medium. The key data generation unit 222 is realized by, for example, an arithmetic processing device that operates according to a program. The program may be stored in advance in a storage device (not shown) included in the data processing device 220.

  The data storage device 240 includes scramble parameter storage means 141 and restoration parameter storage means 242. The restoration parameter storage unit 242 in the present embodiment is different from the restoration parameter storage unit 142 (see FIG. 1) in the first embodiment in that no restoration parameter is output to the output device 150.

  FIG. 5 shows a case where the key data generation unit 222 outputs key data to the output device 150 that outputs image data. The key data generation unit 222 may output the restoration parameter to an output device that is separate from the output device 150 that outputs the image data.

  FIG. 6 is a block diagram showing a second embodiment of the descrambling apparatus according to the present invention. 2 are denoted by the same reference numerals as those in FIG. 2 and description thereof is omitted. In the present embodiment, the input device 160 provides the scrambled image data and key data to the descrambling device 270. 6 shows the case where the input device 160 provides the image data and the key data to the descrambling device 270. However, the input device that provides the image data and the input device that provides the key data are separately provided. It may be provided.

  The descrambling device 270 includes a descrambling unit 271, an input unit 272, and a key data generation unit 273. The input unit 272 is an interface corresponding to the input device 160 (or a data reading device corresponding to the storage medium). In the example shown in FIG. 6, the input unit 272 is an interface between the input device 160 and both the descrambling unit 271 and the key data conversion unit 273.

  The key data conversion unit 273 receives key data from the input device 160 via the input unit 272. Then, the key data conversion unit 273 converts the input key data into the original restoration parameter, and passes the restoration parameter to the descrambling unit 271. An aspect of converting key data into restoration parameters will be described. For example, when the key data is data obtained by encrypting the restoration parameter, a decryption key is required to convert the key data into the restoration parameter. Further, when the key data is data obtained by converting the data structure of the restoration parameter, data structure conversion information for converting the data structure of the key data into the original data structure of the restoration parameter is required. The descrambling device 270 stores the decryption key (or data structure conversion information) in advance in a storage device (not shown). The key data conversion unit 273 reads the decryption key (or data structure conversion information) from the storage device, and converts the key data into a restoration parameter using the decryption key or the like. Hereinafter, a case where the key data is obtained by encrypting the restoration parameter will be described as an example.

  A decryption key for decrypting the key data is stored in a descrambling apparatus managed by the right holder of the image data. The decryption key is sent in advance from the image data provider to the right holder of the image data by mail or the like. The descrambling device 270 receives the decryption key and stores it in a storage device (not shown). Also good. Alternatively, the decryption key is stored in a predetermined server on the communication network (for example, the Internet), and when the descrambling device 270 requests the decryption key from the predetermined server and succeeds in the authentication, the predetermined key is stored. The server may send the decryption key to the descrambling device 270. When receiving the decryption key, the descrambling device 270 stores the decryption key in a storage device (not shown).

  The scramble release means 271 receives the scrambled image data from the input device 160 via the input means 272. Then, the scramble release means 271 releases the scramble process by returning the input image to the original image data (image data before the scramble process) according to the restoration parameter passed from the key data conversion means 273. The process of canceling the scramble process according to the restoration parameter is the same as in the first embodiment. The descrambling means 271 outputs the image data after the descrambling process to the output device 190 via an interface corresponding to the output device 190 or a data writing device (not shown) corresponding to the storage medium.

The scramble release means 271 and the key data conversion means 273 are realized by, for example, an arithmetic processing device that operates according to a program. The program may be stored in advance in a storage device (not shown) provided in the descrambling device 270.

  FIG. 7 is a flowchart showing the operation of the scramble processing apparatus in the second embodiment. The scramble means 121 receives image data to be scrambled from the input device 110 (step S21). Next, the scramble unit 121 reads the scramble parameter from the scramble parameter storage unit 141, and executes the scramble process on the image data (step S22). Subsequently, the scramble unit 121 generates a restoration parameter and stores the restoration parameter in the restoration parameter storage unit 142 (step S23). After step S23, the scramble unit 121 determines whether or not all the data specified by the scramble parameter has been rewritten (step S25). If there is a portion where data has not yet been rewritten, the process proceeds to step S22, and the operations after step S22 are repeated. The processes in steps S21, S22, S23, and S25 are the same as the processes in steps S1, S2, S3, and S5 shown in FIG.

  If it is determined that all the data specified by the scramble parameter has been rewritten, the scramble unit 121 causes the key data generation unit 222 to generate key data (step S26). In step S26, the key data generation unit 222 reads the restoration parameter from the restoration parameter storage unit 242, and converts the restoration parameter into key data. The key data generation unit 222 generates key data, for example, by encrypting the restoration parameter.

  The scramble means 121 outputs the scrambled image data to the output device 150 (step S27). Further, the key data generation unit 222 outputs the key data to the output device 150.

  FIG. 8 is a flowchart illustrating the operation of the descrambling device 270 according to the second embodiment. The scramble release means 271 receives image data that has been scrambled from the input device 160 (step S31). The key data conversion unit 273 receives key data from the input device 160 (step S32). Either the image data or the key data may be input first.

  When the key data is input, the key data conversion unit 273 converts the key data into a restoration parameter (step S33). For example, when the key data is encrypted data, the key data conversion unit 273 reads the decryption key from a storage device (not shown) provided in the descrambling device. Then, the decryption parameter is generated by decrypting the key data using the decryption key. The key data conversion unit 273 passes the restoration parameter converted from the key data to the descrambling unit 271.

  The scramble release means 271 releases the scramble process performed on the image data based on the restoration parameter (step S34). Subsequently, the descrambling unit 271 determines whether or not all the data specified by the restoration parameter has been rewritten (step S35). If there is a portion where data has not been rewritten yet, the process proceeds to step S34, and the operations after step S34 are repeated. If it is determined that all the data specified by the restoration parameter has been rewritten, the descrambling unit 271 outputs the image data from which the scrambling process has been canceled to the output device 190 (step S36).

  According to the second embodiment, the same effect as in the first embodiment can be obtained. Further, since the scramble process can be canceled when the key data converting means 273 converts the key data into the restoration parameter, the data for converting the key data into the restoration parameter (such as the above decryption key and data structure conversion information) is scrambled. Only the viewing right holder stored in the canceling device can browse images with good image quality. In other words, the content (image) protection function can be improved.

  Note that the key data generation unit 222 may output the decryption key (or data structure conversion information) incorporated into the key data. In this case, key data into which the decryption key or the like is incorporated is input to the key data conversion unit 273. The key data conversion unit 273 may convert the key data into a restoration parameter using the decryption key.

  Further, the data processing device 220 may output the image data by incorporating the key data. An example of a block diagram of the scramble processing apparatus in this case is shown in FIG. The configuration shown in FIG. 9 is different from the configuration shown in FIG. 5 in that the key data generation unit 222 passes the key data to the scramble unit 121. The scramble means 121 incorporates key data into the scrambled image data and outputs it to the output device 150. In this case, the key data conversion unit 273 (see FIG. 6) may convert the key data incorporated in the image data into a restoration parameter.

  When image data is input to the scramble unit 121 (step S21), the data storage device 240 receives the scramble parameter as a file or the like from the input device 110 and stores the scramble parameter in the scramble parameter storage unit 141. It may be a configuration.

Embodiment 3 FIG.
Also in the third embodiment, the object of the scramble process is image data encoded in advance as in the first embodiment. In the third embodiment, the scramble processing device receives information for specifying a scramble parameter (hereinafter referred to as scramble parameter specification information) via the user interface, and is obtained as a result of the scramble process using the specified scramble parameter. Display an image. In this way, by displaying the image obtained by the scramble process according to the scramble parameter specifying information input via the user interface, the image data provider is prompted to determine the scramble parameter. The scramble parameter and restoration parameter in the third embodiment are the same as the scramble parameter and restoration parameter in the first embodiment.

  FIG. 10 is a block diagram showing a third embodiment of the scramble processing apparatus according to the present invention. About the apparatus similar to the apparatus shown in FIG. 1, the code | symbol same as FIG. 1 is attached | subjected and description is abbreviate | omitted. The scramble processing device includes a data processing device 320 and a data storage device 340. The data processing device 320 receives encoded image data from the input device 110. Further, the data processing device 320 causes the display means 324 to display the image data that has been subjected to the scramble processing.

  The display means 324 may be an image display device that displays an image. The display unit 324 is realized by, for example, an image display device (may be a mobile terminal) that receives image data from the data processing device 320 via a communication network and displays the image data. In this case, the data processing device 320 includes an interface (not shown) corresponding to the display unit 324, and transmits image data to the display unit 324 via the interface. Alternatively, the display unit 324 may be realized as a display device included in the data processing device 320.

  The data processing device 320 includes a scramble parameter setting unit 321, a scramble unit 322, and a decoding unit 323. The data processing unit 320 also includes an interface (not shown) corresponding to the input device 110.

  The scramble parameter setting means 321 displays a GUI (Graphical User Interface) that prompts the image data provider to input scramble parameter specifying information, and the scramble parameter specifying information is input via the GUI. The scramble parameter setting means 321 sets the scramble parameter according to the scramble parameter specifying information. The scramble parameter setting means 321 also receives a scramble parameter confirmation instruction. When the confirmation instruction is input, the scramble parameter setting unit 321 causes the scramble parameter storage unit 341 to store the scramble parameter set based on the scramble parameter specifying information input at that time. The scramble parameter setting unit 321 receives encoded image data from the input device 110. The scramble parameter setting unit 321 passes the input image data, the scramble parameter set based on the scramble parameter specifying information, and the confirmation instruction to the scramble unit 322.

  When the scramble unit 322 receives the image data and the scramble parameter from the scramble parameter setting unit 321, the scramble unit 322 executes a scramble process on the image data based on the scramble parameter. In addition, the scramble unit 322 generates a restoration parameter. The scramble process and the restoration parameter generation process by the scramble unit 322 are the same as the scramble process and the restoration parameter generation process in the first embodiment. The scramble unit 322 passes the scrambled image data to the decoding unit 323.

  In addition, the scramble unit 322 stores the generated restoration parameter in the restoration parameter storage unit 342 and causes the scrambled data storage unit 343 to store the image data after the scramble processing. Note that the scrambled image data stored in the scrambled data storage unit 343 is referred to as scrambled data.

  When the scramble unit 322 receives a confirmation instruction from the scramble parameter setting unit 321, the scramble unit 322 causes the scramble process data storage unit 343 to output the scramble process data to the output device 150. Similarly, the restoration parameter storage unit 342 causes the output device 150 to output the restoration parameter.

  Since the scramble means 322 performs the scramble process by rewriting a part of the image data in accordance with the scramble parameter, the scrambled image data remains in the encoded state. The decoding unit 323 receives the encoded image data from the scramble unit 322 and decodes the image data. Then, the decoding unit 323 outputs the decoded image data to the display unit 324 and causes the display unit 324 to display the image. As a result, the display means 324 displays the scrambled image.

  Note that the scramble parameter setting means 321 is realized by, for example, a display device that displays a GUI, an input device such as a keyboard or a mouse, and an arithmetic processing device that operates according to a program. The scramble means 322 and the decoding means 323 are realized by an arithmetic processing device that operates according to a program, for example. The program may be stored in advance in a storage device (not shown) included in the data processing device 320.

  The data storage device 340 includes a scramble parameter storage unit 341, a restoration parameter storage unit 342, and a scramble processing data storage unit 343. The data storage device 340 also includes an interface (not shown) corresponding to the output device 150.

  The scramble parameter storage unit 341 stores the scramble parameter when the confirmation instruction is input. The restoration parameter storage unit 342 stores the restoration parameter generated by the scramble unit 322, and outputs the restoration parameter to the output device 150. Similarly, the scramble process data storage unit 343 stores the scramble process data (image data after the scramble process) generated by the scramble unit 322, and outputs the scramble process data to the output device 150.

  Note that after inputting the confirmation instruction, the data processing device 320 may input only the image data without inputting the scramble parameter specifying information. In this case, the scramble unit 322 may read the scramble parameter stored in the scramble parameter storage unit 341 and execute the scramble process. Then, the scramble unit 322 stores the scramble process data in the scramble process data storage unit 343 and further causes the output device 150 to output the scramble process data. Further, the scramble unit 322 stores the restoration parameter in the restoration parameter storage unit 342 and further causes the output device 150 to output the restoration parameter.

  Further, the descrambling device for canceling the scramble processing by the restoration parameter output from the restoration parameter storage unit 342 and the scramble processing data output from the scramble processing data storage unit 343 is the scramble release device 170 in the first embodiment ( A configuration similar to that shown in FIG.

Next, the operation will be described.
FIG. 11 is a flowchart showing the operation of the scramble processing apparatus according to the third embodiment. First, the scramble means 322 receives image data to be scrambled from the input device 110 (step S41). The scramble parameter setting unit 321 displays a GUI that prompts the user to input scramble parameter specifying information, and prompts the image data provider to input the scramble parameter specifying information. The scramble parameter setting means 321 receives the scramble parameter specifying information and sets the scramble parameter according to the scramble parameter specifying information. Then, the scramble parameter is passed to the scramble means 322 (step S42). A display device that displays the GUI is included in the scramble parameter setting means 321.

  FIG. 12 is an explanatory diagram illustrating an example of a GUI that prompts input of scramble parameter specifying information. As shown in FIG. 12A, a GUI may be used in which an input column 51 for scramble parameter specifying information is displayed and the scramble parameter specifying information is input to the input column 51. Further, as shown in FIG. 12B, a GUI that displays the slide bar 53 and sets the scramble parameter according to the position of the slide bar moved by the mouse or the like may be used. In the GUI shown in FIG. 12B, the position of the slide bar 53 represents the scramble parameter specifying information. The confirmation button 52 is a button for inputting a confirmation instruction.

  Further, the scramble parameter setting means 321 sets the scramble parameter so that the degree of image quality deterioration in the scramble process is increased in accordance with the change of the scramble parameter specifying information input to the GUI. For example, the scramble parameter setting unit 321 increases the degree of image quality degradation in the scramble process as the value (scramble parameter specifying information) input to the input field 51 shown in FIG. Set the scramble parameters. Further, for example, the scramble parameter setting means 321 scrambles the parameter that increases the degree of image quality degradation in the scramble process as the position of the slide bar 53 (scramble parameter specifying information) shown in FIG. Set.

  The scramble means 322 executes a scramble process using the scramble parameter set in step S42 (step S43). In step S43, the scramble unit 322 rewrites the designated portion in the image data to the designated value in accordance with the designation of the scramble parameter. Further, the scramble processing data storage means 343 stores the portion from the beginning of the image data to the end of the scramble processing (data rewrite processing).

  Subsequently, the scramble unit 322 generates a restoration parameter and stores the restoration parameter in the restoration parameter storage unit 342 (step S44). In step S44, the scramble means 121 uses the data rewrite location designated by the scramble data and the original data included in the image data before rewriting according to the scramble parameter as the restoration parameters.

  After step S44, the scramble means 322 determines whether or not all the data specified by the scramble parameter has been rewritten (step S45). If there is a portion where data has not been rewritten yet, the process proceeds to step S43, and the operations after step S43 are repeated. At this time, in step S44, the generated restoration parameter may be additionally stored in the restoration parameter storage unit 342.

  If it is determined that all the data specified by the scramble parameter has been rewritten, the scramble unit 322 passes the image data subjected to the scramble process by the data rewrite to the decoding unit 323. Then, the decoding unit 323 decodes the scrambled image data (step S46). Subsequently, the decoding unit S46 outputs the scrambled image data to the display unit 324, and causes the display unit 324 to display the scrambled image (step S47).

  The image data provider looks at the image displayed on the display unit 324 and determines whether the degree of image quality deterioration is appropriate. If the degree of image quality deterioration is appropriate, the image data provider inputs a confirmation instruction (for example, clicks the confirmation button 52 shown in FIG. 12 with a mouse). If not appropriate, new scramble parameter specifying information may be input.

  Subsequently, the scramble parameter setting unit 321 determines whether or not an instruction to confirm the scramble parameter set immediately before is input (step S48). In step S48, for example, it may be determined whether or not the confirmation button 52 (see FIG. 12) included in the GUI has been clicked with the mouse. If the confirmation instruction has not been input, the process waits until the next scramble parameter specifying information is input to the GUI. When the next scramble parameter specifying information is input, the operations after step S42 are repeated. When the next scramble parameter specifying information is input and new scramble processing data and restoration parameters are generated, the scramble means 322 deletes the scramble processing data and restoration parameters based on the previous scramble parameters and creates new scramble data. Processing data and restoration parameters may be stored. Also, new scramble processing data and restoration parameters may be stored while leaving the scramble processing data and restoration parameters based on the previous scramble parameters.

  When a confirmation instruction is input, the scramble parameter setting unit 321 stores the scramble parameter set based on the scramble parameter specifying information input at that time in the scramble parameter storage unit 341. Further, the scramble parameter setting unit 321 passes the confirmation instruction to the scramble unit 322. The scramble unit 322 causes the scramble process data storage unit 343 to output the scramble process data to the output device 150 when the confirmation instruction is passed. Similarly, the scramble unit 322 causes the restoration parameter storage unit 342 to output the restoration parameter to the output device 150 (step S49).

  According to the third embodiment, the same effect as in the first embodiment can be obtained. Further, the scramble process is performed with the scramble parameter corresponding to the scramble parameter specifying information input from the GUI, and the scrambled image is displayed on the display unit 324. Therefore, the image data provider can adjust the degree of image quality degradation to a desired level.

  Similarly to the second embodiment, the third embodiment may be configured to convert the restoration parameter into key data and output the key data to the output device 150. In this case, for example, the data processing device 320 may be configured to include the key data generation unit 222 (see FIG. 5). Then, the key data generation unit 222 may read the restoration parameter from the restoration parameter storage unit 342, convert it into key data, and output it to the output device 150. Further, the scramble processing data storage means 343 may incorporate the key data into the scramble processing data and output it. By adopting such a configuration, the same effect as in the second embodiment can be obtained. In this case, the descrambling device 270 (see FIG. 6) in the second embodiment may be used as the descrambling device.

  In the first to third embodiments, the scramble parameter designates a location in which image data is rewritten and a value to be rewritten. Therefore, in the scramble process, the value of the location specified in the scramble parameter (for example, the location specified as the number of bytes from the beginning of the image data) is simply rewritten. Therefore, the capacity of the image data input to the data processing apparatus in each of the first to third embodiments is equal to the capacity of the image data after the scramble processing. However, when dummy data is added to the image data, the capacity of the input image data is different from the capacity of the image data after the scramble processing.

  Note that the scramble processing device and the descrambling device shown in the first to third embodiments are encoded images that store data that affects image quality in a header or additional information when changed. If it is data, it is applicable.

Embodiment 4 FIG.
In the fourth embodiment, unencoded image data is input, scramble processing is performed on the input image data, and the image data is encoded and output, and the image A descrambling device for canceling the data scrambling process will be described. An example of unencoded image data is bitmap format image data, but the image data input to the scramble processing apparatus according to the present embodiment is not limited to bitmap format image data. Examples of encoded image data include JPEG 2000 and JPEG image data, but the image data output by the scramble processing apparatus according to the present embodiment is not limited to JPEG 2000 or JPEG image data.

  FIG. 13 is a block diagram showing a fourth embodiment of the scramble processing apparatus according to the present invention. The scramble processing device includes a data processing device 420 and a data storage device 440. The data processing device 420 receives unencoded image data from the input device 110. In addition, the data processing device 420 performs scramble processing and outputs the encoded image data to the output device 150.

  An input device 110 shown in FIG. 13 is the same input device as the input device 110 (see FIG. 1) shown in the first embodiment. However, in the present embodiment, the input device 110 inputs unencoded image data to the data processing device 420. Further, instead of the input device 110, the data processing device 420 may read the image data from a storage medium such as a floppy disk (registered trademark) or a CD-ROM storing the image data. Although not shown, the data processing device 420 includes an interface corresponding to the input device 110, and image data is input via the interface. In the case where the image data is read from the storage medium storing the image data, the data processing device 420 is a data reading device (for example, a floppy disk (registered trademark) driver, CD-ROM driver, The image data is read by the data reading device.

  An output device 150 shown in FIG. 13 is the same output device as the output device 150 (see FIG. 1) shown in the first embodiment. Further, the image data may be output (stored) on a storage medium such as a floppy disk (registered trademark) or a CD-ROM instead of the output device 150. Although not shown, the data processing device 420 includes an interface corresponding to the output device 150, and outputs image data via the interface. When the image data is output to the storage medium, the data processing device 420 is a data writing device (for example, floppy disk (registered trademark) driver or CD-ROM driver, not shown) corresponding to the storage medium. And image data is output to a storage medium by a data writing device.

  The data processing device 420 includes an orthogonal transform unit 421, a scramble unit 422, and an encoding unit 423.

  The orthogonal transform unit 421 performs orthogonal transform on the input image data. The orthogonal transformation by the orthogonal transformation means 421 may be a known orthogonal transformation. For example, when JPEG 2000 image data is generated by encoding, the orthogonal transform unit 421 may perform wavelet transform as orthogonal transform. Further, for example, when JPEG image data is generated by encoding, the orthogonal transform unit 421 may perform discrete cosine transform (hereinafter referred to as DCT (Discrete Cosine Transform)) as orthogonal transform. Here, wavelet transformation and DCT have been exemplified as orthogonal transformation, but orthogonal transformation other than wavelet transformation and DCT may be executed according to the type of encoding.

  The scramble means 422 performs a scramble process on the image data after the orthogonal transformation.

  The encoding unit 423 encodes the scrambled image data. The encoding process by the encoding unit 423 may be a known encoding process. For example, when generating JPEG2000 image data, the encoding unit 423 may perform arithmetic encoding processing. Also, Huffman coding may be used. When performing Huffman coding, it is preferable to execute the Huffman coding processing in a reversible compression manner. For example, when generating JPEG image data, the encoding unit 423 may perform Huffman encoding. Here, although arithmetic coding and Huffman coding were illustrated, the kind of coding is not limited to these. The encoding unit 423 outputs the encoded image data to the output device 150.

  The orthogonal transform unit 421, the scramble unit 422, and the encoding unit 423 are realized by an arithmetic processing device that operates according to a program, for example. The program may be stored in advance in a storage device (not shown) included in the data processing device 420.

  The data storage device 440 includes scramble parameter storage means 441 and restoration parameter storage means 442.

  The scramble parameter storage unit 441 stores scramble parameters. As already described, the scramble parameter is data indicating the content of change when image data is changed as a scramble process. However, in this embodiment, the scramble parameter storage unit 441 stores a scramble parameter corresponding to the type of image data encoding. For example, when JPEG2000 image data is generated by encoding, the scramble parameter specifies some or all of the subbands obtained by orthogonal transform (wavelet transform in the case of JPEG2000), and the subbands. Specifies the value of how many times the subband coefficient in the band is multiplied. This value is a power of 2. For example, when JPEG image data is generated by encoding, the scramble parameter specifies a quantization table used for quantization after orthogonal transformation (DCT in the case of JPEG), and rewrites the value of the quantization table. Specify a value. The scramble parameter storage unit 441 stores scramble parameters determined so that the degree of image quality degradation is a level desired by the image data provider.

  The restoration parameter storage unit 442 stores restoration parameters. The restoration parameter is data indicating change contents when changing the image data as the descrambling process. In the present embodiment, the location in the image data to be rewritten and the value to be rewritten are included. For example, the restoration parameter is stored as data indicating what number of bytes from the beginning of the image data decoded by the decoding unit 472 (see FIG. 14) described later is rewritten to what value. The value to be rewritten included in the restoration parameter is the original value before being rewritten in the scramble process. For example, a restoration parameter when JPEG 2000 image data is generated by encoding includes a subband coefficient before being multiplied by a power of 2. Further, for example, the restoration parameter when JPEG image data is generated by encoding includes the value of the original quantization table before being rewritten.

  Further, the restoration parameter storage unit 442 outputs the restoration parameter to the output device 150. Although not shown, the data storage device 440 includes an interface corresponding to the output device 150, and outputs a restoration parameter via the interface. Further, the restoration parameter may be output to a storage medium such as a floppy disk (registered trademark) or a CD-ROM. In this case, the data storage device 440 includes a data writing device (not shown) corresponding to the storage medium. The restoration parameter storage unit 442 outputs the restoration parameters to the output device 150 via an interface corresponding to the output device 150 or a data writing device corresponding to the storage medium.

  The scramble unit 422 reads the scramble parameter from the scramble parameter storage unit 441 and changes the input image data according to the scramble parameter. That is, since the scramble parameter indicates the change contents when changing the image data, the image data may be changed according to the change contents. The scramble means 422 performs the scramble process by changing the image data in this way. Note that the quantization table used in the process of generating JPEG image data is also included in the concept of image data. The scramble unit 422 passes the scrambled image data to the encoding unit 423. Further, the scramble unit 422 generates a restoration parameter and stores it in the restoration parameter storage unit 442.

  FIG. 13 shows a case where the restoration parameter storage unit 442 outputs restoration parameters to the output device 150 that outputs image data. The restoration parameter storage unit 442 may output the restoration parameter to an output device different from the output device 150 that outputs the image data.

  An example in which image data input from the image device 110 is scrambled and JPEG 2000 image data is output will be described. The orthogonal transform unit 421 performs wavelet transform on the input image data. The scramble parameter storage unit 441 may specify a part or all of the subbands obtained by the wavelet transform, and store a scramble parameter specifying a value of how many times the subband coefficient in the subband is to be multiplied. Good. The scramble means 422 multiplies the designated subband coefficient of the designated subband by the designated value (power of 2) according to the scramble parameter. As a result, the subband coefficient of the image data is different from the original subband coefficient. Note that multiplying the subband coefficient by a power of 2 means that the dynamic range of the subband coefficient is changed. The encoding means 423 encodes this image data. The data processing apparatus 420 also includes means (not shown) for adding a header to the encoded data when generating JPEG 2000 image data. By adding a header by this means, JPEG2000 image data can be obtained. When this JPEG2000 image data is decoded and displayed, the subband coefficient is different from the original value, so that the image quality is displayed in a degraded state. Further, the scramble unit 422 causes the restoration parameter storage unit 442 to store the location where the subband coefficient in the image data before encoding is rewritten and the original subband coefficient at that location as the restoration parameter.

  An example in which image data input from the image device 110 is scrambled and JPEG image data is output will be described. In this case, the data storage device 440 includes a quantization table storage unit that stores a quantization table in advance. The orthogonal transform unit 421 performs DCT on the input image data. Further, the orthogonal transform unit 421 quantizes the image data after DCT using the quantization table stored in the quantization table storage unit. In this case, the orthogonal transform unit 421 corresponds to a quantization unit. The scramble parameter storage means may store a scramble parameter for designating rewriting of the value of the quantization table stored in advance. The scramble means 422 converts the value included in the quantization table according to the scramble parameter. The encoding means 423 encodes this image data. Further, in this case, the data processing apparatus includes encoded data that includes (multiplexes) additional information having the converted quantization table (quantization table with rewritten values) in the image data. A shaping means is provided. The encoded data shaping means multiplexes the additional information with the image data, whereby JPEG image data is obtained. When this JPEG image data is decoded and displayed, the value of the decoded data is multiplied by a value included in the quantization table, and display is performed based on the result. At this time, since the value included in the quantization table is different from the value at the time of quantization, it is displayed in a state where the image quality is deteriorated. In addition, the scramble unit 422 stores the original quantization table in the restoration parameter storage unit 442 as a restoration parameter.

  FIG. 14 is a block diagram showing a fourth embodiment of the descrambling apparatus according to the present invention. The descrambling device 470 includes input means 471, decoding means 472, descrambling means 473, and inverse orthogonal transform means 474. The descrambling device 470 receives the image data scrambled by the data processing device (see FIG. 13) and the restoration parameter from the input unit 160. Further, the descrambling device 470 outputs the image data whose descrambling processing has been canceled to the output device 190.

  An input device 160 shown in FIG. 14 is the same input device as the input device 160 (see FIG. 2) shown in the first embodiment. Further, the descrambling device 470 may read the image data and the restoration parameter from a storage medium (for example, a CD-ROM) that stores the scrambled image data and the restoration parameter.

  The output device 190 shown in FIG. 14 is the same output device as the output device 190 (see FIG. 2) shown in the first embodiment. Moreover, the structure which outputs image data to a storage medium (for example, CD-ROM etc.) may be sufficient. Although not shown, the descrambling device 470 includes an interface corresponding to the output device 190, and outputs image data via the interface. In the case where the image data is output to the storage medium, the descrambling device 470 includes a data writing device corresponding to the storage medium, and the data writing device outputs the image data to the storage medium.

  The input unit 471 is an interface corresponding to the input device 160 (or a data reading device corresponding to the storage medium). 14 shows the case where the input device 160 provides the image data and the restoration parameter to the descrambling device 470. However, the input device that provides the image data and the input device that provides the restoration parameter are separately provided. It may be provided.

  The decoding means 472 receives the scrambled image data from the input device 160 via the input means 471. The decoding unit 472 decodes the input image data. The decoding process by the decoding unit 472 may be a known decoding process. For example, if image data that has been arithmetically encoded by the encoding unit 423 (see FIG. 13) is input, the decoding unit 472 decodes the image data into image data before the arithmetic encoding process. For example, if image data that has been Huffman encoded by the encoding unit 423 (see FIG. 13) is input, the decoding unit 472 decodes the image data into image data before the Huffman encoding process. . The decoding unit 472 passes the decoded image data to the descrambling unit 473.

  The descrambling means 473 receives the restoration parameter from the input device 160 via the input means 471. The descrambling unit 473 receives the decoded image data from the decoding unit 472. The scramble release means 473 releases the scramble process by rewriting the image data based on the input restoration parameter. The scramble release means 473 passes the image data after the scramble process is released to the inverse orthogonal transform means 474.

  The inverse orthogonal transform unit 474 performs inverse orthogonal transform on the image data from which the scramble process has been canceled. The inverse orthogonal transform by the inverse orthogonal transform means 474 may be a known inverse orthogonal transform. For example, if image data that has been wavelet transformed by the orthogonal transform unit 421 (see FIG. 13) is input to the descrambling device 470, the inverse orthogonal transform unit 474 may perform the inverse transform of the wavelet transform. Further, for example, if image data that has been subjected to DCT by the orthogonal transform unit 421 (see FIG. 13) is input to the descrambling device 470, the inverse orthogonal transform unit 474 may perform DCT inverse transform. . The inverse orthogonal transform unit 474 outputs the image data after the inverse orthogonal transform to the output device 190 via an interface corresponding to the output device 190 or a data writing device (not shown) corresponding to the storage medium.

  The decoding unit 471, the descrambling unit 473, and the inverse orthogonal transform unit 474 are realized by an arithmetic processing unit that operates according to a program, for example. The program may be stored in advance in a storage device (not shown) provided in the descrambling device 470.

  A case where a scrambled JPEG 2000 image is input from the input device 160 will be described as an example. In this case, the restoration parameter input from the input device 160 designates a location where the subband coefficient in the image data before encoding is rewritten and the original subband coefficient at that location. The decoding unit 472 decodes the input JPEG2000 image data and returns it to the state before encoding. The descrambling means 473 rewrites the subband coefficients in the decoded image data to the original subband coefficients according to the restoration parameter. Then, the inverse orthogonal transform unit 474 performs an inverse orthogonal transform process on the image data in which the subband coefficients are restored to the original values, and outputs the image data to the output device 190. As a result, an image having the same image quality as the original image input to the data processing device 420 (see FIG. 13) is displayed.

  An example in which scrambled JPEG image data is input from the input device 160 will be described. In this case, the restoration parameter input from the input device 160 indicates the original quantization table before being rewritten. The decoding unit 472 decodes the input JPEG image data and returns it to the state before encoding. Also, the descrambling means 473 rewrites the quantization table incorporated in the input image data into the original quantization table according to the restoration parameter. Then, the descrambling unit 473 multiplies the decoded image data value by the quantization table value. The inverse orthogonal transform unit 474 performs inverse orthogonal transform on the image data and outputs the result to the output device 190. As a result, an image having the same image quality as the original image input to the data processing device 420 (see FIG. 13) is displayed.

Next, the operation will be described.
FIG. 15 is a flowchart illustrating the operation of the scramble processing apparatus according to the fourth embodiment. First, the orthogonal transform means 421 receives image data (image data that has not been encoded in the present embodiment) to be scrambled from the input device 110 (step S61). The orthogonal transform unit 421 performs orthogonal transform on the input image data, and passes the image data to the scramble unit 422 (step S62). Further, the scramble unit 422 reads the scramble parameter from the scramble parameter storage unit 441, and specifies a rewrite target area (that is, data to be rewritten) based on the scramble parameter (step S63). The scramble unit 422 may execute the process of step S63 before the process of step S62. Further, instead of the scramble unit 422, the orthogonal transform unit 421 may read the scramble parameter, specify the target region to be rewritten, and pass the specified target region information to the scramble unit 422. The target area means a part or all of the entire data, and does not mean an area in the displayed image itself. For example, some or all of the plurality of subbands obtained by wavelet transform correspond to the “target region” specified in step S63.

  Subsequently, the scramble unit 422 executes the scramble process by rewriting the data to be rewritten according to the specification of the scramble parameter (step S64). The scramble unit 422 generates a restoration parameter and stores the restoration parameter in the restoration parameter storage unit 442 (step S65). The scramble means 422 uses, for example, the location where the data is rewritten by the scramble process and the original value before the rewrite as the restoration parameter.

  After step S65, the scramble unit 422 determines whether or not all data rewriting has been performed on the rewriting target data specified in step S63 (step S66). If there is data to be rewritten that has not been rewritten yet, the process proceeds to step S64, and the operations after step S64 are repeated. At this time, in step S65, the generated restoration parameter may be additionally stored in the restoration parameter storage unit 442.

  If it is determined that all data rewriting has been performed on the rewriting target data specified in step S63 (if it is determined Yes in step S66), the scramble unit 422 passes the image data to the encoding unit 423. The encoding unit 423 encodes the image data passed from the scramble unit 422 (step S67). Subsequently, the encoding unit 423 outputs the encoded image data to the output device 150 (step S68). At this time, for example, the scramble unit 422 causes the restoration parameter storage unit 442 to output the restoration parameter to the output device 150.

  Note that a means for adding a header to encoded image data may perform header addition processing and output the image data with the header added to the output device 150. Further, means for adding additional information to the encoded image data may perform additional information addition processing and output the image data to the output device 150.

  FIG. 16 is a flowchart illustrating the operation of the descrambling apparatus according to the fourth embodiment. The decoding means 472 receives image data that has been scrambled from the input device 160 (step S71). This image data is encoded data. Further, the descrambling means 473 receives the restoration parameter from the input device (step S72). Either the image data or the restoration parameter may be input first.

  Next, the decoding unit 472 decodes the image data input in step S71 and passes it to the scramble release unit 473 (step S73). The scramble release means 473 releases the scramble process (step S74). In step S74, the scramble release means 473 releases the scramble process by rewriting the data to the original value according to the restoration parameter.

  Subsequently, the descrambling unit 473 determines whether or not all of the data specified by the restoration parameter has been rewritten (step S75). If there is data that has not been rewritten yet, the process proceeds to step S74, and the operations after step S74 are repeated. If it is determined that all the data specified by the restoration parameter has been rewritten, the descrambling unit 473 passes the image data to the inverse orthogonal transform unit 474. The inverse orthogonal transform unit 474 performs inverse orthogonal transform on the image data from which the scramble processing has been canceled (step S76), and outputs the image data to the output device 190 (step S77).

  According to the fourth embodiment, the scramble unit 422 can realize the scramble process only by rewriting the designated data in accordance with the scramble parameter. Therefore, the scramble process can be performed at high speed. Similarly, the scramble canceling means 473 can cancel the scramble process only by rewriting designated data in accordance with the restoration parameter. Therefore, the scramble process can be released at high speed.

  In the fourth embodiment, the case where the scramble parameter storage unit 441 stores scramble parameters in advance has been described. When image data is input to the orthogonal transform unit 421 (step S61), the data storage device 440 receives a scramble parameter as a file or the like from the input unit 110 and stores the scramble parameter in the scramble parameter storage unit 441. There may be. By changing the value of the input scramble parameter stepwise, the scramble parameter stored in the scramble parameter storage unit 441 also changes stepwise. As a result, the degree of image quality deterioration can be gradually changed, and the degree of image quality deterioration can be adjusted.

Embodiment 5. FIG.
Also in the fifth embodiment, a scramble processing device that receives unencoded image data, executes scramble processing on the input image data, further encodes and outputs the image data, and A descrambling device for canceling the scramble processing of image data will be described. In the fifth embodiment, as in the second embodiment, the restoration parameter is converted into key data, and the key data is passed to the descrambling apparatus. The descrambling device converts the key data into a restoration parameter, and releases the scrambling process based on the restoration parameter. The scramble parameter and restoration parameter in the fifth embodiment are the same as the scramble parameter and restoration parameter in the fourth embodiment.

  FIG. 17 is a block diagram showing a fifth embodiment of the scramble processing apparatus according to the present invention. Components and apparatuses similar to those shown in FIG. 13 are denoted by the same reference numerals as those in FIG. The scramble processing device includes a data processing device 520 and a data storage device 540.

  The data processing device 520 includes an orthogonal transform unit 421, a scramble unit 422, an encoding unit 423, and a key data generation unit 524. The key data generation unit 524 reads the restoration parameter stored in the restoration parameter storage unit 542, and converts it into data (key data) that cannot be recognized by the descrambling unit 573 (see FIG. 18) described later. Similarly to the key data generation unit 222 (see FIG. 5) in the second embodiment, the key data generation unit 524 performs encryption, conversion of the data structure of the recovery parameter, and the like to convert the recovery parameter into the key data. Can be converted to. The key data generation unit 524 outputs the key data to the output device 150 via an interface corresponding to the output device 150 or a data writing device (not shown) corresponding to the storage medium. The key data generation unit 524 is realized by, for example, an arithmetic processing device that operates according to a program. The program may be stored in advance in a storage device (not shown) included in the data processing device 220. Note that the key data generation unit 524 may output the restoration parameter to an output device different from the output device 150 that outputs the image data.

  The data storage device 540 includes a scramble parameter storage unit 441 and a restoration parameter storage unit 542. The restoration parameter storage unit 542 in the present embodiment is different from the restoration parameter storage unit 442 (see FIG. 13) in the fourth embodiment in that no restoration parameter is output to the output device 150.

  FIG. 18 is a block diagram showing a fifth embodiment of the descrambling apparatus according to the present invention. About the apparatus and structure similar to the apparatus and structure shown in FIG. 14, the same code | symbol as FIG. 14 is attached | subjected and description is abbreviate | omitted. In the present embodiment, input device 160 provides image data and key data scrambled by data processing device 520 to descrambling device 570. An input device that provides image data and an input device that provides key data may be provided separately.

  The descrambling device 570 includes input means 571, decryption means 472, descrambling means 573, inverse orthogonal transform means 474, and key data conversion means 575. The input unit 571 is an interface corresponding to the input device 160 (or a data reading device corresponding to the storage medium). In the example shown in FIG. 18, the input unit 571 is an interface between both the decryption unit 472 and the key data conversion unit 575 and the input device 160.

  The key data conversion unit 575 receives key data from the input device 160 via the input unit 571. Then, the key data conversion unit 575 converts the input key data into the original restoration parameter, and passes the restoration parameter to the descrambling unit 573. The mode for converting the key data into the restoration parameter is the same as in the second embodiment. The descrambling device 570 stores in advance information (such as the decryption key or the data structure conversion information shown in the second embodiment) for converting the key data into a restoration parameter. A mode in which this information is stored in a storage device (not shown) of the descrambling device 570 is the same as that in the second embodiment.

  The descrambling means 573 receives the image data decoded from the decoding means 472. Then, the scramble release means 573 releases the scramble process according to the restoration parameter passed from the key data conversion means 575. That is, the decoded image data is rewritten according to the restoration parameter. The scramble release means 473 passes the image data after the scramble process is released to the inverse orthogonal transform means 474.

  The decryption unit 472, the descrambling unit 573, the inverse orthogonal transform unit 474, and the key data conversion unit 575 are realized by, for example, an arithmetic processing device that operates according to a program. The program may be stored in advance in a storage device (not shown) provided in the descrambling device 570.

  FIG. 19 is a flowchart showing the operation of the scramble processing apparatus in the fifth embodiment. The operations in steps S81 to S86 shown in FIG. 19 are the same as the operations in steps S61 to S66 in the fourth embodiment, respectively.

  If it is determined that all data rewriting has been performed on the data to be rewritten (Yes in step S86), the scramble unit 422 causes the key data generating unit 524 to generate key data (step S87). In step S87, the key data generation unit 524 reads the restoration parameter from the restoration parameter storage unit 542, and converts the restoration parameter into key data. The key data generation unit 524 generates key data by, for example, encrypting the restoration parameter.

  The scramble unit 422 passes the image data with the rewritten data to the encoding unit 423, and the encoding unit 423 encodes the image data (step S88). Subsequently, the encoding unit 423 outputs the encoded image data to the output device 150 (step S89). The key data generation unit 524 outputs the key data to the output device 150.

  FIG. 20 is a flowchart illustrating the operation of the descrambling device 570 according to the fifth embodiment. The decoding means 472 receives image data that has been scrambled from the input device 160 (step S91). The key data conversion means 575 receives key data from the input device 160 (step S92). Either the image data or the key data may be input first.

  When the key data is input, the key data conversion means 575 converts the key data into a restoration parameter (step S93). This process is the same as the process of step S33 in the second embodiment.

  Also, the decoding means 472 decodes the image data input in step S91 and passes it to the scramble release means 573 (step S94). The subsequent processes (the processes in steps S94 to S98) are the same as the processes in steps S73 to S77 in the fourth embodiment, respectively.

  According to the fifth embodiment, the same effect as in the fourth embodiment can be obtained. Further, since the scramble process can be canceled when the key data conversion means 575 converts the restoration parameter of the key data, the same effect as the second embodiment can be obtained. In other words, the content (image) protection function can be improved.

  Note that the key data generation unit 524 may output data for converting the key data into a restoration parameter (decryption key, data structure conversion information, etc.) incorporated in the key data. In this case, key data into which the decryption key or the like is incorporated is input to the key data conversion means 575. The key data conversion unit 575 may convert the key data into a restoration parameter using the decryption key or the like.

  Further, the data processing device 520 may output the image data by incorporating the key data. An example of a block diagram of the scramble processing apparatus in this case is shown in FIG. The configuration shown in FIG. 21 is different from the configuration shown in FIG. 17 in that the key data generation unit 524 passes the key data to the encoding unit 423. The encoding unit 423 incorporates key data into the encoded image data and outputs the key data to the output device 150. When the data processing device 520 includes means for adding a header to encoded data (or means for adding additional information, not shown), the key data generating means 524 The means for passing to the means and adding a header (or means for adding additional information) may incorporate the key data into the image data. The key data conversion means 575 (see FIG. 18) may convert the key data embedded with the image data into a restoration parameter.

  When image data is input to the orthogonal transform unit 421 (step S81), the data storage device 540 receives the scramble parameter as a file or the like from the input device 110 and stores the scramble parameter in the scramble parameter storage unit 441. The structure to be made may be sufficient.

Embodiment 6 FIG.
In the sixth embodiment, a scramble processing apparatus will be described in which unencoded image data is input, scramble processing is executed on the input image data, and the image data is encoded and output. In the present embodiment, as in the third embodiment, scramble parameter specifying information is input via the user interface. Then, an image obtained as a result of the scramble process using the scramble parameter specified by the scramble parameter specifying information is displayed. The scramble parameter and restoration parameter in the sixth embodiment are the same as the scramble parameter and restoration parameter in the fourth embodiment.

  FIG. 22 is a block diagram showing a sixth embodiment of the scramble processing apparatus according to the present invention. About the apparatus similar to the apparatus shown in FIG. 13, the same code | symbol as FIG. 13 is attached | subjected and description is abbreviate | omitted. The scramble processing device includes a data processing device 620 and a data storage device 640. The data processing device 620 receives unencoded image data from the input device 110. In addition, the data processing device 620 causes the display unit 626 to display the scrambled image data.

  The display unit 626 is the same device as the display unit 324 in the third embodiment. The display unit 626 may be, for example, an image display device (may be a mobile terminal) that receives image data from the data processing device 620 via a communication network and displays the image data. In this case, the data processing device 620 includes an interface corresponding to the display unit 626, and transmits image data to the display unit 626 via the interface. Alternatively, the display unit 626 may be a display device included in the data processing device 620.

  The data processing device 620 includes an orthogonal transform unit 621, a scramble parameter setting unit 622, a scramble unit 623, an encoding unit 624, and a decoding unit 625. The data processing device 620 also includes an interface (not shown) corresponding to the input device 110.

  The orthogonal transform unit 621 performs orthogonal transform on the input image data. The orthogonal transformation processing by the orthogonal transformation means 621 is the same as the orthogonal transformation processing by the orthogonal transformation means 421 (see FIG. 13).

  The scramble parameter setting means 622 displays a GUI that prompts the image data provider to input the scramble parameter specifying information, and the scramble parameter specifying information is input via the GUI. The scramble parameter setting means 622 sets the scramble parameter according to the scramble parameter specifying information. The scramble parameter setting means 622 also receives a scramble parameter confirmation instruction. When the confirmation instruction is input, the scramble parameter setting unit 622 causes the scramble parameter storage unit 641 to store the scramble parameter set based on the scramble parameter specifying information input at that time. The scramble parameter setting unit 622 receives image data after orthogonal transformation from the orthogonal transformation unit 621. The scramble parameter setting means 622 passes the image data, the scramble parameters set based on the scramble parameter specifying information, and the confirmation instruction to the scramble means 623.

  When the image data and the scramble parameter are received from the scramble parameter setting unit 622, the scramble unit 623 executes a scramble process based on the scramble parameter. In addition, the scramble unit 623 generates a restoration parameter. The scramble process and the restoration parameter generation process by the scramble means 623 are the same as the scramble process and the restoration parameter generation process in the fourth embodiment. The scramble unit 623 passes the scrambled image data to the encoding unit 624. The scramble unit 623 stores the generated restoration parameter in the restoration parameter storage unit 642.

  The encoding unit 624 performs an encoding process on the scrambled image data. This encoding process is the same as the encoding process by the encoding means 423 (see FIG. 13). The encoding unit 624 stores the encoded image data in the scramble processing data storage unit 643 as scramble processing data. Also, the encoded image data is passed to the decoding unit 625. The encoded image data includes means for adding a header (or means for adding additional information, not shown), and the means uses the image data with the header (or additional information) added as scrambled data. You may memorize | store in the scramble process data storage means 643. FIG. Further, the image data with the header (or additional information) added may be passed to the decoding means 625.

  In addition, when the confirmation instruction is passed from the scramble parameter confirmation 622, the scramble means 623 causes the restoration parameter storage means 342 to output the restoration parameter to the output device 150. Similarly, the encoding unit 624 also causes the scramble processing data storage unit 643 to output the scramble processing data to the output device 150 when the confirmation instruction is passed from the scramble unit 623.

  The decoding unit 625 decodes the encoded image data. Then, the decoded image data is output to the display unit 626 and the image is displayed on the display unit 626. As a result, the display means 626 displays the scrambled image.

  Note that the scramble parameter setting unit 622 is realized by, for example, a display device that displays a GUI, an input device such as a keyboard or a mouse, and an arithmetic processing device that operates according to a program. The orthogonal transform 621, the scramble unit 623, the encoding unit 624, and the decoding unit 625 are realized by an arithmetic processing unit that operates according to a program, for example. The program may be stored in advance in a storage device (not shown) included in the data processing device 620.

  The data storage device 640 includes scramble parameter storage means 641, restoration parameter storage means 642, and scramble processing data 643. The data storage device 640 also includes an interface (not shown) corresponding to the output device 150.

  The scramble parameter storage unit 641 stores the scramble parameter when the confirmation instruction is input. The restoration parameter storage unit 642 stores the restoration parameter generated by the scramble unit 623, and outputs the restoration parameter to the output device 150. Similarly, the scramble processing data storage unit 643 stores the scramble processing data (encoded image data) generated by the encoding unit 624, and outputs the scramble processing data to the output device 150.

  Note that after inputting the confirmation instruction, the data processing device 620 may receive only the image data without inputting the scramble parameter specifying information. In this case, the scramble unit 623 may read the scramble parameter stored in the scramble parameter storage unit 641 and execute the scramble process. Then, the scramble processing unit 623 stores the restoration parameter in the restoration parameter storage unit 642 and further causes the output device 150 to output the restoration parameter. Also, the encoding unit 624 encodes the scrambled image data and stores it in the scrambled data storage unit 643 as scrambled data. Then, the output device 150 outputs the scramble processing data.

  Further, the descrambling device for releasing the scramble processing by the restoration parameter output from the restoration parameter storage unit 642 and the scramble processing data output from the scramble processing data storage unit 643 is the descrambling device 470 ( A configuration similar to that shown in FIG.

  FIG. 23 and FIG. 24 are flowcharts showing the operation of the scramble processing apparatus in the sixth embodiment. First, the orthogonal transformation means 621 receives image data to be scrambled from the input device 110 (step S101). The orthogonal transform unit 621 performs orthogonal transform on the input image data (step S102).

  Subsequently, the scramble parameter setting unit 622 displays a GUI that prompts the user to input scramble parameter specifying information, and prompts the image data provider to input the scramble parameter specifying information. Then, the scramble parameter setting means 622 receives the scramble parameter specifying information and sets the scramble parameter according to the scramble parameter specifying information. Then, the scramble parameter is passed to the scramble means 623 (step SS103). In step S103, for example, the GUI illustrated in FIGS. 12A and 12B may be displayed.

  Similarly to the third embodiment, the scramble parameter setting unit 622 sets the scramble parameter so that the degree of image quality deterioration in the scramble process is increased in accordance with the change of the scramble parameter specifying information input to the GUI. To do. For example, the scramble parameter setting means 622 increases the degree of image quality degradation in the scramble process as the value (scramble parameter specifying information) input to the input field 51 shown in FIG. Set the scramble parameters. Further, for example, the scramble parameter setting unit 622 scrambles the parameter that increases the degree of image quality degradation in the scramble process as the position of the slide bar 53 (scramble parameter specifying information) shown in FIG. Set.

  When JPEG2000 image data is generated, the degree of image quality deterioration increases as the subband coefficient of a low-frequency subband among the subbands obtained by orthogonal transform (wavelet transform) is changed. Also, when changing the subband coefficients of subbands of the same frequency, the degree of image quality deterioration increases as the amount of change increases. Therefore, when generating JPEG2000 image data, in order to increase the degree of image quality degradation in the scramble process in accordance with the change in the input scramble parameter specifying information, the frequency of the selected subband is decreased. Also, the value (power of 2) to be multiplied by the subband coefficient may be increased.

  When JPEG image data is generated, the degree of image quality deterioration increases as the difference between the individual values included in the original quantization table and the individual values included in the rewritten quantization table increases. Here, the difference between individual values included in the two quantization tables means a difference between corresponding values in the two quantization tables. When generating JPEG image data, in order to increase the degree of image quality degradation in the scramble process according to the change of the input scramble parameter specifying information, the individual values included in the original quantization table, What is necessary is just to enlarge the difference with each value contained in the quantization table to be rewritten.

  The scramble means 623 executes scramble processing by rewriting image data in accordance with the scramble parameter set in step S103 (step S104). Also, a restoration parameter for restoring the rewritten data is created, and the restoration parameter is stored in the restoration parameter storage unit 643 (step S105).

  After step S105, the scramble unit 623 determines whether or not all data rewriting has been performed on the rewriting target data (step S106). Note that the data to be rewritten may be specified based on the scramble parameter. If there is data to be rewritten that has not been rewritten yet, the process proceeds to step S104, and the operations after step S104 are repeated. At this time, in step S105, the generated restoration parameter may be additionally stored in the restoration parameter storage unit 642.

  If it is determined that all data rewriting has been performed on the data to be rewritten (Yes in step S106), the scramble unit 623 passes the rewritten image data to the encoding unit 624. The encoding means 624 encodes this image data (step S107). Subsequently, the encoding unit 624 stores the encoded data in the scramble processing data storage unit 643 as scramble processing data (step S108).

  Subsequently, the decoding unit 625 decodes the encoded image data (Step S109), outputs the decoded image data to the display unit 626, and displays the scrambled image on the display unit 626 (Step S109). S110). The image data provider looks at the image displayed on the display means 626 and determines whether the degree of image quality deterioration is appropriate. If the degree of image quality deterioration is appropriate, the image data provider inputs a confirmation instruction (for example, clicks the confirmation button 52 shown in FIG. 12 with a mouse). If not appropriate, new scramble parameter specifying information may be input.

  Subsequently, the scramble parameter setting unit 622 determines whether or not an instruction to confirm the scramble parameter set immediately before is input (step S111). In step S111, for example, it may be determined whether or not the confirmation button 52 (see FIG. 12) included in the GUI has been clicked with the mouse. If the confirmation instruction has not been input, the process waits until the next scramble parameter specifying information is input to the GUI. When the next scramble parameter specifying information is input, the operations after step S103 are repeated. When the scramble parameter specifying information is input and a new restoration parameter is generated, the scramble unit 623 may delete the restoration parameter based on the previous scramble parameter and store the new restoration parameter. Alternatively, a new restoration parameter may be stored while the restoration parameter based on the previous scramble parameter remains. Similarly, when the scramble parameter specifying information is input and new scramble processing data is generated, the encoding unit 624 may delete the scramble processing data based on the previous scramble parameter and store the new scramble processing data. Good. Alternatively, new scramble processing data may be stored while leaving the scramble processing data based on the previous scramble parameter.

  When a confirmation instruction is input, the scramble parameter setting unit 622 causes the scramble parameter storage unit 641 to store the scramble parameter set based on the scramble parameter specifying information input at that time. Further, the scramble parameter setting means 321 passes the confirmation instruction to the scramble means 623, and the scramble means 623 further passes the confirmation instruction to the encoding means 624. When receiving the confirmation instruction, the scramble unit 623 causes the restoration parameter storage unit 642 to output the restoration parameter to the output device 150. When receiving the confirmation instruction, the decoding unit 624 causes the scramble processing data storage unit 643 to output the scramble processing data to the output device 150.

  According to the sixth embodiment, the same effect as in the fourth embodiment can be obtained. Further, scramble processing is performed with the scramble parameter corresponding to the scramble parameter specifying information input from the GUI, and the scrambled image is displayed on the display means 626. Therefore, the image data provider can adjust the degree of image quality degradation to a desired level.

  Similarly to the fifth embodiment, the sixth embodiment may be configured to convert the restoration parameter into key data and output the key data to the output device 150. In this case, for example, the data processing device 620 may be configured to include the key data generation unit 524 (see FIG. 17). Then, the key data generation unit 524 may read the restoration parameter from the restoration parameter storage unit 642, convert it into key data, and output it to the output device 150. Further, the scramble processing data storage means 643 may output the key data incorporated in the scramble processing data. By adopting such a configuration, an effect similar to that of the fifth embodiment can be obtained. In this case, the descrambling device 570 (see FIG. 18) according to the fifth embodiment may be used as the descrambling device.

  Each scramble means shown in the first to sixth embodiments also generates a restoration parameter. Therefore, each scramble unit shown in the first to sixth embodiments also corresponds to a restoration parameter generation unit.

  In the first to sixth embodiments described above, a person who does not have a descrambling apparatus can view only images in a state where the image quality is deteriorated even if the image data is obtained. In particular, in the case of the second embodiment or the fifth embodiment, data for converting key data into a restoration parameter (decryption key, data structure conversion information, etc.) is stored in the descrambling apparatus. If you are not an expert, you cannot view images with good image quality. Therefore, the image data provider provides only the purchaser of the image viewing right to the scramble processing device according to the present invention (in the case of the second and fifth embodiments, the scramble processing device and the key data). Data for converting the data into a restoration parameter may be provided. The image data output from the scramble processing apparatus according to the present invention has a appealing effect for those who can recognize the image content to some extent but can only browse images with low image quality. Therefore, the image data provider can expect an increase in purchasers of image browsing rights.

  The image data provider may determine the value of the scramble parameter and store it in the scramble parameter storage means so that the degree of image quality deterioration becomes a desired level so as to enhance the appeal effect. At this time, by changing the scramble parameter stepwise, the degree of image quality degradation can be changed stepwise. In particular, according to the third and sixth embodiments, the scramble parameter can be changed stepwise via the GUI, so that the degree of image quality degradation can be easily adjusted to a desired level. Can do.

  In the present invention, since the scramble process and the scramble process are canceled only by rewriting data, these processes can be executed at high speed. Therefore, according to the present invention, even if the number of images provided by the image provider is large (for example, it may be several hundreds or more), the image data is scrambled at high speed to obtain a large number of images. Can provide images. Also, a purchaser of image viewing rights can browse many images by releasing the scramble process at high speed. Thus, since the processing speed is fast, images can be browsed one after another, and convenience can be improved.

  In the first to third embodiments, the case where encoded image data is input to the data processing device has been described. In the first to third embodiments, unencoded image data is input to the data processing device, and the data processing device generates encoded image data from the image data, and the image The data may be subjected to scramble processing similar to that in the first to third embodiments.

  For example, it is assumed that JPEG 2000 image data is generated from unencoded image data, and the same scramble processing as in the first to third embodiments is performed on the image data. In this case, the data processing apparatus includes an orthogonal transform unit that performs orthogonal transform on input image data (uncoded image data), an encoding unit that encodes the image data after the orthogonal transform, Encoded data shaping means for adding a header to the converted image data may be provided. Assume that image data represented by R, G, B signals or Y, Cr, Cb signals is input to the data processing device. The orthogonal transform means converts the R, G, and B signals into Y, Cr, and Cb signals. When image data represented by Y, Cr, and Cb signals is input, this conversion process need not be performed. The orthogonal transform unit performs wavelet transform on the image data converted into Y, Cr, and Cb signals, and the encoding unit arithmetically encodes the image data after the wavelet transform. Thereafter, the encoded data shaping means adds a header to the encoded image data. As a result, JPEG2000 image data is generated. The scramble processing shown in the first to third embodiments may be executed on this image data.

  Also, for example, it is assumed that JPEG image data is generated from unencoded image data, and the same scramble processing as that in the first to third embodiments is performed on the image data. In this case, the data storage device includes quantization table storage means for storing a predetermined quantization table, and the data processing device performs orthogonal transform on input image data (uncoded image data). Orthogonal transforming means for performing the processing, encoding means for encoding the image data after the orthogonal transform, and encoded data shaping means for adding additional information including a quantization table to the encoded image data. . Assume that image data represented by R, G, B signals or Y, Cr, Cb signals is input to the data processing device. The orthogonal transform means converts the R, G, and B signals into Y, Cr, and Cb signals. When image data represented by Y, Cr, and Cb signals is input, this conversion process need not be performed. The orthogonal transform means blocks the image data converted into Y, Cr, and Cb signals, and performs DCT. Further, the orthogonal transform unit quantizes the image data after DCT using the quantization table stored in the quantization table storage unit. The encoding means performs Huffman encoding on the quantized image data. Thereafter, the encoded data shaping means adds additional information including a quantization table to the encoded image data. As a result, JPEG image data is generated. The scramble processing shown in the first to third embodiments may be executed on this image data.

  The first embodiment shows a case where JPEG 2000 image data is input to the scramble processing apparatus. Here, first, the scramble processing device shown in FIG. 1 and the descrambling device shown in FIG. 2 will be described as examples.

  The encoding format of JPEG2000 is defined in “ISO / IEC FCD15444-1: JPEG2000 Part I Final Committee Draft Version 1.0 Mar.2000”. JPEG2000 image data includes markers and marker segments. The marker is a portion that serves as a mark indicating a delimiter of information in the image data. A marker segment is a marker having a data portion. FIG. 25 is an explanatory diagram showing the format of JPEG2000 image data. An SOC 701 shown in FIG. 25 is a marker indicating the start of the main header. Similarly, SOT 703 and SOD 705 are data indicating the start of tile header 704 and tile data 706, respectively. The EOC 707 is a marker indicating the end of data. Each divided portion obtained by dividing one image so as not to overlap is called a tile. The tile data 706 is data corresponding to each tile, and the tile header 704 is a header added for each tile data. A main header 702 is added to the head of the image data.

  The main header 702 includes four essential marker segments. There are 13 markers included in the main header 702 including optional ones. The data portion of the marker segment in the main header 702 stores various data such as the image size, the number of wavelet decompositions, and the dynamic range of subband coefficients.

  The scramble parameter storage unit 141 may store a scramble parameter for designating rewriting of the portion indicating the dynamic range in the data portion of the marker segment. When JPEG2000 image data (encoded image data) is input, the scramble unit 121 rewrites the portion indicating the dynamic range in the data portion of the marker segment according to the scramble parameter (steps S1, S1 shown in FIG. 3). S2,). In addition, the scramble unit 121 stores the location where the data has been rewritten and the data before being rewritten as the restoration parameter in the restoration parameter storage unit 142 (step S3 shown in FIG. 3). The marker segment to be rewritten is not limited to one type, and the scramble means 121 may rewrite the data portions of a plurality of marker segments. The scramble means 121 repeats the processes of steps S2 and S3 (see FIG. 3) until all the locations designated by the scramble parameters are rewritten. The scramble unit 121 outputs the rewritten image data, and the restoration parameter storage unit 142 outputs the restoration parameter (step S6 shown in FIG. 3).

  The descrambling means 171 of the descrambling device 170 may return the data portion of the marker segment in the input image data to the original data in accordance with this restoration parameter.

  In the present embodiment, the scramble process and its release can be realized simply by rewriting the data portion of the marker segment, so that the time required for the scramble process and its release can be shortened.

  Although the case where the restoration parameter is output as it is has been described as an example here, the scramble processing apparatus may convert the restoration parameter into key data and output it. In this case, the scramble processing device illustrated in FIG. 5 or FIG. 9 and the descrambling device illustrated in FIG. 6 may be used. The key data generation unit 222 reads the restoration parameter from the restoration parameter storage unit 242 and converts the restoration parameter into key data.

  In the case of the scramble processing apparatus illustrated in FIG. 5, the key data generation unit 222 may output the key data to a device (here, an authentication server) different from the output device 150 that outputs the image data. The scrambler 270 receives scrambled JPEG 2000 image data from the input device. Further, the descrambling device 270 (see FIG. 6) transmits, for example, a predetermined account or the like in response to the operation of the image viewer, and requests key data from an authentication server (not shown). . If the authentication server succeeds in authenticating the image viewer based on the account or the like, the authentication server transmits the key data to the descrambling device 270 in response to the request. The key data conversion unit 273 converts the key data received from the authentication server into a restoration parameter, and the descrambling unit 271 may return the data portion of the marker segment in the image data to the original data according to the restoration parameter. In this case, only an image viewer who has succeeded in authentication can browse an image with good image quality. An operation unit operated by the image viewer is not shown.

  In the case of the scramble processing apparatus illustrated in FIG. 9, the key data generation unit 222 passes the key data to the scramble unit 121, and the scramble unit 121 incorporates the key data into the rewritten JPEG2000 image data. Then, the image data is output. The key data conversion means 273 (see FIG. 6) of the descrambling device 270 converts the key data incorporated in the image data into a restoration parameter. Then, the descrambling means 271 may return the data portion of the marker segment in the image data to the original data according to the restoration parameter. In this case, the image viewer can browse image data with good image quality without receiving authentication by the authentication server.

  Data (decryption key or the like) for converting the key data into a restoration parameter is sent in advance from the image data provider to the right holder of the image data by mail or the like, and the descrambling device 270 receives the decryption key. Such data is input in advance and stored in a storage device (not shown). In this case, only the right holder who has stored the data (decryption key or the like) for converting the key data into the restoration parameter in the descrambling apparatus can browse the image with good image quality. In other words, the content (image) protection function can be improved.

  Further, the scramble parameter storage unit 141 may store a scramble parameter for designating rewriting of the data portion of the marker segment indicating the dynamic range of the subband coefficient of the specific resolution. In this case, it is possible to perform image degradation only for a specific resolution. As a result, although it is possible to view up to a certain resolution, the image data can be rewritten so that the image quality deteriorates after a certain resolution. For example, in the case of an image that can be viewed at a low resolution such as a thumbnail but requires a high resolution in order to display a detailed part, the image quality can be degraded.

  The scramble parameter may be changeable. For example, a file describing a scramble parameter may be input to the data storage device, and the scramble parameter storage unit 141 may store the scramble parameter. Alternatively, as illustrated in FIG. 10, the scramble processing apparatus includes a scramble parameter setting unit 321 that presents a GUI, and sets scramble parameters based on scramble parameter specifying information input via the GUI. May be. By making the scramble parameter changeable in this way, the degree of image quality degradation can be adjusted.

  JPEG2000 is a standard mainly for still images, but can also be applied to moving images. A moving image can be regarded as a set of continuous still images. A standard for encoding a moving image with a JPEG2000 encoding method for each frame is called Motion-JPEG2000 (refer to ISO / IEC 15444-3 (JPEG2000, Part 3)). This embodiment may be applied to Motion-JPEG2000 image data. That is, Motion-JPEG2000 image data may be input to the scramble processing apparatus, and the scramble processing apparatus may perform scramble processing for each frame and output the Motion-JPEG2000 image data. Similarly, the scrambled Motion-JPEG 2000 image data may be input to the scrambler, and the scrambler may release the scramble process for each frame.

  The second embodiment shows a case where JPEG image data is input to the scramble processing apparatus. Additional information is included in JPEG image data. The additional information includes data of a quantization table used when creating JPEG image data (encoded data). In this embodiment, the scramble unit 121 may perform the scramble process or the scramble release unit 171 may release the scramble process by rewriting the data of the quantization table. The second embodiment is the same as the first embodiment except that the data rewriting target is different. In this embodiment, the scramble process and its release can be performed simply by rewriting the data in the quantization table, so that the time required for the scramble process and its release can be shortened.

  Further, the scramble processing device may convert the restoration parameter into key data and output it. Since this aspect and effect are the same as the aspect and effect demonstrated in Example 1, description is abbreviate | omitted.

  Further, as described in the first embodiment, the scramble parameter may be changeable. Since this aspect and effect are the same as the aspect and effect described in the first embodiment, the description thereof is omitted.

  JPEG can also be applied to moving images. A standard for encoding a moving image with a JPEG encoding method frame by frame is called Motion-JPEG. The present embodiment may be applied to Motion-JPEG image data. That is, Motion-JPEG image data may be input to the scramble processing device, and the scramble processing device may perform scramble processing for each frame and output the Motion-JPEG image data. Similarly, the scrambled Motion-JPEG image data may be input to the scrambler, and the scrambler may release the scramble process for each frame. In addition, MPEG (Moving Picture Experts Group) also performs compression by the JPEG encoding method for each frame. Therefore, this embodiment may be applied to MPEG.

  In the third embodiment, unencoded image data (in this case, data represented by R, G, B signals or Y, Cr, Cb signals) is input to the scramble processing apparatus, and the scramble processing apparatus. A case where JPEG2000 image data is output will be described. FIG. 26 is a block diagram illustrating an example of a data processing apparatus according to the present embodiment. The same components as those of the data processing device 420 and the data storage device 440 shown in FIG. 13 are given the same reference numerals as those in FIG. The encoded data shaping unit 424 adds a header to the data encoded by the encoding unit 423. The encoded data shaping unit 424 shapes the data by changing the arrangement of the encoded data according to the application, and outputs the shaped image data to the output device 150. Data shaping processing by the encoded data shaping means 424 will be described later. Here, the scramble processing device shown in FIG. 26 and the descrambling device shown in FIG. 14 will be described as examples.

  The scramble parameter in this embodiment is a value indicating how many subband coefficients in a subband are specified by designating a part or all of the subbands obtained by orthogonal transform (here, wavelet transform). Is specified. This value is a power of 2. The scramble parameter storage unit 441 may store such scramble parameters.

  When the image data is input (step S61 shown in FIG. 15), the orthogonal transform unit 421 converts the R, G, and B signals of the image data into Y, Cr, and Cb signals. Then, a content protection target area is selected. This content protection target area means an area in the displayed image itself. The orthogonal transform unit 421 may select the content protection target area before the conversion from the R, G, B signal to the Y, Cr, Cb signal. When image data represented by Y, Cr, and Cb signals is input, conversion processing from R, G, and B signals to Y, Cr, and Cb signals does not have to be performed. In addition, for example, the data processing device 420 includes a display device (not shown), and the input image is displayed on the display device so that the operator can select the content protection target region. Urge you to. The data processing apparatus 420 includes an input device (not shown) such as a mouse, and the orthogonal transform unit 421 may select an area designated via the input device as a content protection target area.

  Next, the orthogonal transform unit 421 performs wavelet transform on the selected content protection target region, recursively divides the image data into a high frequency component and a low frequency component, and subband coefficients in a plurality of band components. Calculation is made (step S62 shown in FIG. 15). FIG. 27 is an explanatory diagram showing a process of dividing image data into a high frequency component and a low frequency component by wavelet transform. The orthogonal transforming means 421 performs calculation using two types of filter coefficients (HPF filter coefficient and LPF filter coefficient) for each pixel of the original image data (see FIG. 27A), thereby obtaining the original image. 2 columns of data are generated (see FIG. 27B). When attention is paid to the pixel A shown in FIG. 27A, the value L0 (V) and the value H0 (V) are calculated using the pixel A and the pixel values arranged in the vertical direction of the pixel A and two types of filter coefficients. Calculate Similar calculations are performed for other pixels. As a result, the data shown in FIG. 27B is obtained.

  FIG. 27C shows data of each pixel including the value L0 (V) calculated based on the pixel A (the same data as the data on the left side shown in FIG. 27B). The orthogonal transform means 421 performs calculation using two types of filter coefficients for each pixel data included in the data shown in FIG. 27C, and generates two rows of data from the data shown in FIG. (See FIG. 27D). When attention is focused on the value L0 (V) shown in FIG. 27C, the value L0 (V) and the value L0 (V) are obtained by using the values of the pixels lined up in the left-right direction of the value L0 (V) and the value L0 (V). H) and the value H0 (H). As a result of performing the same calculation for other pixel data, the data shown in FIG. 27D is obtained.

  The orthogonal transform means 421 performs the same calculation for the data of each pixel including the value H0 (V) calculated based on the pixel A (the data on the right side shown in FIG. 27B). As a result, four types of data LL, LH, HL, and HH shown in FIG. LL, LH, HL, and HH are subbands, and data of each pixel included in each subband is a subband coefficient. Note that LL is a subband including L0 (H) calculated based on L0 (V). LH is a subband including H0 (H) calculated based on L0 (V). HL is a subband including L0 (H) calculated based on H0 (V). HH is a subband including H0 (H) calculated based on H0 (V). Of these four subbands, LL is a low-frequency subband, and LH, HL, and HH are high-frequency subbands.

  When recursively performing such a process of dividing into four subbands, the orthogonal transform unit 421 performs a dividing process on the subband LL. FIG. 28 shows a state in which the subband LL shown in FIG. 27E is divided into subbands again. In FIG. 28, subbands other than LL are numbered 1 and 2 in ascending order of frequency. The subbands LH2, HL2, and HH2 shown in FIG. 28 correspond to the subbands LH, HL, and HH shown in FIG. The subbands LL, HL1, HL1, and HH shown in FIG. 28 are obtained by recursively dividing the subband LL shown in FIG. The LL shown in FIG. 28 may be further recursively divided.

  When the image data is divided into sub-bands, the lower frequency sub-band can represent a higher resolution image. In the example of the subband shown in FIG. 28, an image with the highest resolution can be represented by the subband LL. Then, the subbands LH1, HL1, and HH1 can represent an image with the highest resolution after LL. Subbands LH2, HL2, and HH2 represent images with the highest resolution next to LH1, HL1, and HH1.

  FIG. 29 is an explanatory diagram of a specific example of wavelet transform. FIG. 29A shows the Y component of each pixel in the original image. Here, an example of calculating L0 (V) and H0 (V) (see FIG. 27B) corresponding to the pixel A based on the pixel A having the value “10” shown in FIG. Show.

  FIG. 29B shows an example of filter coefficients used for wavelet transform. I shown in FIG. 29B is a value indicating how far away from the pixel to be calculated. i = 0 represents a pixel to be calculated, and i = 1 and i = −1 represent pixels adjacent to the pixel to be calculated. i = 2 and i = -2 represent pixels adjacent to the pixel to be calculated, respectively. The HPF coefficient H0 (i) is a filter coefficient by which the pixel data is multiplied when data on the high frequency side is calculated. The LPF coefficient H1 (i) is a filter coefficient by which the pixel data is multiplied when the low-frequency data is calculated. The orthogonal transform means 421 multiplies the coefficient values of H0 (i) and H1 (i) by the pixel data corresponding to i, and obtains the sum thereof, thereby obtaining the low frequency side data (L0 ( V)) and high frequency data (H0 (V)) corresponding to the pixel A can be calculated. Specifically, the orthogonal transforming unit 421 uses the following formula to calculate L0 (V) corresponding to the pixel A using the pixel A and the pixel value aligned in the vertical direction of the pixel A and the filter coefficient H1 (i). Ask for.

  L0 (V) = (80 · (−1/8)) + (30 · (2/8)) + (10 · (6/8)) + (35 · (2/8)) + (60 · ( -1/8))

  Similarly, the orthogonal transform unit 421 obtains H0 (V) corresponding to the pixel A by using the following formula using the pixel A and the pixel values arranged in the vertical direction of the pixel A and the filter coefficient H0 (i). .

  H0 (V) = (30 · (−1/2)) + (10 · 1) + (35 · (−1/2))

  In this example, L0 (V) and H0 (V) corresponding to the pixel A are L0 (V) = 6.25 and H0 (V) = 22.5, respectively. The orthogonal transform means 421 performs the same calculation for other pixels shown in FIG. 29A, and calculates data corresponding to FIG.

  Subsequently, the orthogonal transform unit 421 uses the data of each pixel including L0 (V) (the data on the left side shown in FIG. 27B) and two types of filter coefficients, and subbands LL and LH. Find the coefficient. The orthogonal transform means 421 uses the low-frequency data L0 (H) corresponding to L0 (V) using the data arranged in the left-right direction of L0 (V) and L0 (V) and the filter coefficient H1 (i). calculate. By similarly calculating the data of other pixels, each subband coefficient in the subband LL is obtained. Similarly, the orthogonal transform unit 421 converts the high-frequency data H0 (H) corresponding to L0 (V) to the data arranged in the left-right direction of L0 (V) and L0 (V), and the filter coefficient H0 (i). Calculate using. By similarly calculating the data of other pixels, each subband coefficient in the subband LH can be obtained.

  Similarly, the orthogonal transform unit 421 uses the data of each pixel including H0 (V) (the data on the right side shown in FIG. 27B) and two types of filter coefficients, and the subbands HL and HH. Find the coefficient.

  In addition, when performing the calculation which multiplies the data of the pixel close | similar to an outer peripheral part with a filter coefficient, the pixel which should be multiplied by a filter coefficient may not exist. For example, in the upper left pixel (a pixel having a value of “100”) shown in FIG. 29A, there are “50” and “0” pixels in the downward direction, but there are no pixels on the opposite side. In this case, assuming that the same pixel as the pixel on the opposite side centered on the pixel of interest exists on the side where no pixel exists, the calculation by multiplying by the filter coefficient may be performed. For example, the upper left pixel illustrated in FIG. 29A illustrated as an example may be calculated by multiplying the filter coefficient on the assumption that the pixels “50” and “0” exist in the upward direction.

When generating JPEG2000 data, the standard stipulates that each subband coefficient obtained as a result of wavelet transform is multiplied by 2 ⁿ (n is a positive integer).

  When the wavelet transform (step S62) is completed, the scramble unit 422 reads the scramble parameter from the scramble parameter storage unit 441, and determines the target area to be scrambled based on the scramble parameter (step S63 shown in FIG. 15). For example, it is determined which subband coefficient of each subband shown in FIG. 18 is to be changed.

Further, the scramble means 422 represents each subband coefficient as a bit plane. FIG. 30 is an explanatory diagram illustrating an example of subband coefficients expressed as bit planes. In FIG. 30, four subband coefficients of 10, -4, 2, and 7 are shown as an example. Incidentally, it multiplying 2 ⁿ for each sub-band coefficients after wavelet transform when generating JPEG2000 data has been described as being defined by the standard, for simplicity in FIG. 30, not multiplied by 2 ⁿ The subband coefficient is shown. As shown in FIG. 30, the sign of each subband coefficient is represented by a sign bit separately from its absolute value. The subband coefficients of 10, 4, 4, 2 and 7 are represented as “1010”, “100”, “10”, and “111”, respectively.

The scramble means 422 multiplies the subband coefficient of the subband determined in step S63 by the value specified by the scramble parameter (step S64 shown in FIG. 15). The value specified by the scramble parameter is 2 ^p (power of 2). Here, p is an integer and may be a negative number. In this example, p = 6 and a case where each subband coefficient shown in FIG. 30 is multiplied by ²⁶ will be described as an example. The values obtained by multiplying 10, -4, 2, ⁷ by 26 are 640, -256, 128, and 448, respectively. FIG. 31 shows a bit plane when each subband coefficient shown in FIG. 30 is multiplied by ²⁶ . As shown in FIG. 31, by multiplying ²⁶ , 6-bit data is added to the lower order of each subband coefficient shown in FIG. The value of each added bit is 0. As a result, the number of bit planes increases and the dynamic range of the subband coefficients changes (in this example, it increases).

When multiplied by 2 ^p subband coefficient, p bits of data is added to the lower subband coefficients when p is a positive integer. The value of each added bit is 0. When p is a negative integer, the subband coefficient is shifted by p bits in the lower direction, and data corresponding to lower p bits is deleted. In either case, the number of bit planes increases or decreases. That is, the dynamic range of the subband coefficient is increased or decreased.

By multiplying the 2 ^p subband coefficient as described above, the dynamic range of the subband coefficient is changed, it will differ from the original dynamic range. As a result, scramble processing is realized.

Subsequently, the scramble unit 422 generates a restoration parameter and stores the restoration parameter in the restoration parameter storage unit 442 (step S65 shown in FIG. 15). The scramble means 422 rewrites the data by the scramble processing, that is, the place where the subband coefficients of 10, -4, 2, and 7 are described, and the original value before rewriting the data by multiplying ²⁶ (ie, 10, -4, 2, 7) are used as restoration parameters and are stored in the restoration parameter storage means 442. The scramble means 422 repeats the processes of steps S64 and S65 until all the locations designated by the scramble parameters are rewritten.

  When all the changes of the subband coefficients in the subband designated by the scramble parameter are completed, the encoding unit 423 encodes the image data changed by the scramble unit 422 (step S67 shown in FIG. 15). In this embodiment, the encoding unit 423 performs arithmetic encoding on the image data. This arithmetic encoding process may be a known arithmetic encoding process.

  In this embodiment, after the encoding unit 423 encodes the image data, the encoded data shaping unit 424 adds header information to the encoded data. Also, the encoded data shaping unit 424 shapes the encoded image data according to a predetermined priority after the encoding process on the image data. The priority order is a priority order that determines what should be emphasized during decoding and efficient decoding. For example, there are a case where decoding is performed with emphasis on image resolution and a case where decoding is performed with emphasis on image quality. More specifically, the encoded data shaping unit 424 reshapes the image data by rearranging packets including components (encoded data of Y, Cr, and Cb).

  FIG. 32 is an explanatory diagram showing an example of data shaping (RLCP: Resolution-Layer-Component-Position) when importance is attached to the resolution of an image. The encoded data shaping unit 424 arranges tile data following the tile header. Tile data is a set of packets including components. In the case of emphasizing resolution, the encoded data shaping unit 424 arranges the data of each subband from the top of the tile data in descending order of resolution. For example, in the subband example shown in FIG. 28, the encoded data shaping means 424 arranges the data of the subband LL having the highest resolution (represented as Resolution 1) first. The encoded data shaping means 424 arranges data of the subbands LH1, HL1, and HH1 having the second highest resolution (Resolution2) next. The encoded data shaping means 424 next arranges the data of the subbands LH2, HL2, and HH2 having the third highest resolution. Data is arranged in the same manner even when there is a subband of a lower resolution.

  Also, the encoded data shaping unit 424 arranges the packets in the order of layers that realize high image quality in the data (packet group) of each subband. The encoded data shaping means 424 first arranges a packet of a layer (referred to as Layer 1) that most affects the image quality in the data of each resolution. The encoded data shaping unit 424 arranges the packet of the layer (referred to as Layer 2) that has the second effect on the image quality next to the packet of Layer 1. The encoded data shaping means 424 arranges the packet of the layer (referred to as Layer 3) that has the third effect on the image quality next to the packet of Layer 2. Similarly, the encoded data shaping unit 424 arranges packets of each layer.

  FIG. 33 is an explanatory diagram showing an example of data shaping (LRCP: Layer-Resolution-Component-Position) when importance is attached to the image quality of an image. The encoded data shaping unit 424 arranges tile data following the tile header. In the case where the image quality is important, the encoded data shaping unit 424 arranges the data of each layer from the top of the tile data in the order of layers realizing high image quality. Therefore, the encoded data shaping means 424 arranges the data of the layer (Layer 1) that most affects the image quality from the top. The encoded data shaping means 424 arranges the data of the layer (Layer 2) that has the second effect on the image quality next to the data of Layer 1. Similarly, the encoded data shaping unit 424 arranges data of each layer. At this time, data of each subband is included in the data of each layer. For example, the Layer 1 data includes Layer 1 data in each subband such as LL to HH2 illustrated in FIG.

  The encoded data shaping means 424 arranges the packets of each subband in the order of the resolution in the data (packet group) of each layer. For example, in the Layer 1 data, the encoded data shaping unit 424 arranges the packet of the subband LL having the highest resolution (Resolution 1) first. The encoded data shaping unit 424 next arranges the packets of the subbands LH1, HL1, and HH1 having the second highest resolution (Resolution 2). The encoded data shaping means 424 next arranges the packets of the subbands LH2, HL2, and HH2 having the third highest resolution. Even when there is a lower resolution subband, packets are arranged in the same manner.

  Here, data shaping in the case of emphasizing resolution or in the case of emphasizing image quality has been described, but the mode of data shaping is not limited to the mode of emphasizing resolution or emphasizing image quality. For example, the encoded image data may be shaped so that Y data in Y, Cr, and Cb is at the head.

  After the data shaping by the encoded data shaping unit 424, the encoded data shaping unit 424 outputs the shaped image data. Further, the restoration parameter storage unit 442 outputs a restoration parameter (step S68 shown in FIG. 15).

  Decoding means 472 of descrambling device 470 (see FIG. 14) receives the scrambled image data from input device 160 via input means 471 (step S71 shown in FIG. 16). This image data is the image data output by the encoded data shaping means 424. Further, the descrambling means 473 of the descrambling device 470 receives the restoration parameter from the input device 160 via the input means 471 (step S72 shown in FIG. 16). The decoding unit 427 decodes the input image data into image data before arithmetic coding processing (step S73 shown in FIG. 16).

  Subsequently, the descrambling means 473 rewrites the subband coefficient to the original subband coefficient based on the restoration parameter (step S74 shown in FIG. 16). For example, the descrambling means 473 rewrites the subband coefficient illustrated in FIG. 31 to the original subband coefficient illustrated in FIG. As a result, the dynamic range of the subband coefficient returns to the original dynamic range. When the descrambling unit 473 rewrites all the subband coefficients specified by the restoration parameter (when determined Yes in step S75 shown in FIG. 16), the inverse orthogonal transform unit 474 performs inverse orthogonal transform (this embodiment). Then, the inverse wavelet transform is performed, and the image data after the inverse orthogonal transform is output to the output device 190 (steps S76 and S77 shown in FIG. 16).

In this embodiment, the scrambling process can be realized by rewriting the subband coefficients scrambling unit is multiplied by 2 ^p into sub-band coefficients. The scrambler can release the scramble process by rewriting the rewritten subband coefficient to the original subband coefficient. Therefore, the time required for the scramble process and its release can be shortened. In addition, since the encoded data shaping unit 424 shapes the image data, it is possible to perform decoding efficiently with emphasis on specific elements such as resolution and image quality.

  In the above description of the third embodiment, the case where the restoration parameter is output as it is has been described as an example. However, the scramble processing apparatus may convert the restoration parameter into key data and output it. In this case, the scramble processing apparatus illustrated in FIG. 26 only needs to include the key data generation unit 524 illustrated in FIG. 17 or FIG. Further, as the scramble processing apparatus, a scramble release apparatus 570 illustrated in FIG. 18 may be used. The key data generation unit 524 reads the restoration parameter from the restoration parameter storage unit 542, and converts the restoration parameter into key data.

  The key data conversion unit 524 may output the key data to a device (here, an authentication server) different from the output device 150 that outputs the image data. The scrambler 570 receives scrambled JPEG 2000 image data from the input device. Further, the descrambling device 570 (see FIG. 18) transmits, for example, a predetermined account or the like in response to the operation of the image viewer, and requests key data from an authentication server (not shown). . If the authentication server succeeds in authenticating the image viewer based on the account or the like, the authentication server transmits the key data to the descrambling device 570 in response to the request. The key data conversion means 575 of the descrambling device 570 converts the key data received from the authentication server into a restoration parameter, and the descrambling means 573 may rewrite the subband coefficient to the original subband coefficient according to the restoration parameter. . In this case, only an image viewer who has succeeded in authentication can browse an image with good image quality. An operation unit operated by an image viewer is not shown.

  When the scramble processing apparatus 420 illustrated in FIG. 26 includes the key data generation unit 524 illustrated in FIG. 21, the key data generation unit 524 passes the key data to the encoded data shaping unit 424. The encoded data shaping means 424 incorporates key data into the JPEG 2000 image data after data shaping. Then, the image is output. The key data conversion means 575 (see FIG. 18) of the descrambling device 570 converts the key data incorporated in the image data into a restoration parameter. Then, the key data conversion means 575 may rewrite the subband coefficient to the original subband coefficient in accordance with the restoration parameter. In this case, the image viewer can browse image data with good image quality without receiving authentication by the authentication server.

  Note that data (decryption key or the like) for converting key data into a restoration parameter is sent in advance from the image data provider to the right holder of the image data by mail or the like, and the descrambling device 570 receives the decryption key. Such data is input in advance and stored in a storage device (not shown). In this case, only the right holder who has stored the data (decryption key or the like) for converting the key data into the restoration parameter in the descrambling apparatus can browse the image with good image quality. In other words, the content (image) protection function can be improved.

Further, scrambling parameter storage unit 441 may store scrambling parameter indicating multiplying the 2 ^p into sub-band coefficients of subbands of a particular resolution. In this case, it is possible to perform image degradation only for a specific resolution. As a result, although it is possible to view up to a certain resolution, the image data can be rewritten so that the image quality deteriorates after a certain resolution. For example, in the case of an image that can be viewed at a low resolution such as a thumbnail but requires a high resolution in order to display a detailed portion, the image quality can be degraded.

  The scramble parameter may be changeable. For example, the data storage device may be configured such that a file describing scramble parameters is input and the scramble parameter storage unit 441 stores the scramble parameters. Alternatively, as illustrated in FIG. 22, the scramble processing apparatus includes a scramble parameter setting unit 622 that presents a GUI, and sets scramble parameters based on scramble parameter specifying information input via the GUI. May be. By making the scramble parameter changeable in this way, the degree of image quality degradation can be adjusted.

  In the third embodiment, a set of continuous still images may be input to the data processing apparatus. Then, the orthogonal transform unit 421, the scramble unit 422, the encoding unit 423, and the encoded data shaping unit 424 of the data processing apparatus perform orthogonal transform (wavelet transform in this embodiment) for each frame using each still image as a frame, and scramble processing. The encoding process and the encoded data shaping process may be performed to output Motion-JPEG2000 image data. Further, the scrambled Motion-JPEG2000 image data may be input to the scrambler. Then, the decoding unit 472, the descrambling unit 473, and the inverse orthogonal transform unit 474 of the descrambling apparatus perform a decoding process, a descrambling process, and an inverse orthogonal transform process (in this embodiment, an inverse transform process of wavelet transform) for each frame. A set of continuous still images may be output.

Further, in the present embodiment, a case has been shown in which the location where data is rewritten by the scramble processing (that is, the location where the subband coefficient is described) and the original subband coefficient before the data is rewritten are used as restoration parameters. When the restoration parameter is generated, a location where the data has been rewritten by the scramble process and a power value of 2 (2 ^p ) designated by the scramble parameter may be used as the restoration parameter. In this case, the descrambling unit 473 (or the descrambling unit 573 shown in FIG. 18) included in the descrambling device uses the subband coefficient described in the location indicated by the restoration parameter as the value (2 ^The subband coefficients may be rewritten by dividing by ^p ). By dividing by 2 ^p, it is possible to rewrite the subband coefficients into the original sub-band coefficients.

However, when p is a negative integer in 2 ^p specified in the scrambling parameter, so that the lower bits of the original sub-band coefficients are deleted. In order to divide the subband coefficient from which the lower bits are deleted by 2 ^p (p is a negative integer) to obtain the original subband coefficient, all the values of the lower bits to be deleted must be zero. As already described, when generating JPEG2000 data, the standard stipulates that each subband coefficient obtained as a result of wavelet transform is multiplied by 2 ⁿ (n is a positive integer). Therefore, the value of at least the lower n bits of the subband coefficient before being scrambled is 0. Therefore, when ^p is defined as a negative integer at 2 ^p specified by the scramble parameter, a negative integer p satisfying | n | ≧ | p | may be selected.

  In the fourth embodiment, unencoded image data (here, R, G, B signals or data represented by Y, Cr, Cb signals) is input to the scramble processing device, and the scramble processing device is operated. A case where JPEG image data is output will be described. FIG. 34 is a block diagram illustrating an example of a data processing apparatus in the present embodiment. The same components as those of the data processing device 420 and the data storage device 440 shown in FIG. 13 are given the same reference numerals as those in FIG. Here, the scramble processing device shown in FIG. 34 and the descrambling device shown in FIG. 14 will be described as examples.

  The quantization table storage unit 447 stores a predetermined quantization table. This quantization table is a quantization table for displaying a normal image that is not scrambled. In the case of the present embodiment, the scramble parameter storage unit 441 stores information as to which value in the quantization table stored in the quantization table storage unit 447 is rewritten as a scramble parameter. The encoded data shaping unit 425 multiplexes the additional information having the rewritten quantization table with the image data encoded by the encoding unit 423.

  When the image data is input (step S61 shown in FIG. 15), the orthogonal transform unit 421 converts the R, G, and B signals of the image data into Y, Cr, and Cb signals. When image data represented by Y, Cr, and Cb signals is input, conversion processing from R, G, and B signals to Y, Cr, and Cb signals does not have to be performed. Subsequently, the orthogonal transform unit 421 blocks the image data. That is, the image data is divided into blocks (space areas for performing DCT). Next, the orthogonal transformation means 421 performs orthogonal transformation (DCT in this embodiment) on the image data (step S62 shown in FIG. 15).

  After the DCT, the scramble unit 422 reads the quantization table stored in the quantization table storage unit 447 and the scramble parameter stored in the scramble parameter storage unit 441. Then, based on the scramble parameter, it is determined which part in the quantization table is to be rewritten (step S63 shown in FIG. 15). Then, the scramble unit 422 rewrites the quantization table read from the quantization table storage unit 447 by rewriting the portion determined in step S63 (step S64 shown in FIG. 15). In this embodiment, the rewriting of the quantization table corresponds to the scramble process. FIG. 35 shows an example of the quantization table. FIG. 35A shows an example of a quantization table stored in advance by the quantization table storage unit 447. The scramble unit 422 rewrites the quantization table based on the scramble parameter to create a quantization table illustrated in FIG. 35B, for example.

  Further, when the value of the quantization table is rewritten, the scramble unit 422 uses the rewritten portion and the original quantization table value as a restoration parameter and stores them in the restoration parameter storage unit 442 (step S65 shown in FIG. 15). .

  When all the rewriting specified by the scramble parameter is completed (when it is determined Yes in step S66 shown in FIG. 15), the scramble means 422 uses the quantization table before rewriting (for example, the quantization illustrated in FIG. 35A). Table) is used to quantize the image data.

  Subsequently, the encoding unit 423 encodes the quantized image data (step S67 shown in FIG. 15). In this embodiment, the encoding unit 423 performs Huffman encoding on the image data. This Huffman encoding process may be a known Huffman encoding process.

  In this embodiment, after the encoding unit 423 encodes the image data, the encoded data shaping unit 425 includes additional information including a rewritten quantization table (for example, the quantization table illustrated in FIG. 35B). Are multiplexed into encoded data. The additional information may include information other than the quantization table.

  After the additional information including the quantization table is multiplexed with the image data, the encoded data shaping unit 425 outputs the image data. Further, the restoration parameter storage unit 442 outputs a restoration parameter (step S68 shown in FIG. 15).

  The output image data includes a quantization table different from the quantization table used for quantization. Therefore, when an image is displayed using the quantization table included in the image data, the image quality is deteriorated and displayed.

  Decoding means 472 of descrambling device 470 (see FIG. 14) receives scrambled data from input device 160 via input means 471. (Step S71 shown in FIG. 16). This image data is the image data output from the encoded data shaping unit 425. Further, the descrambling means 473 of the descrambling device 470 receives the restoration parameter from the input device 160 via the input means 471 (step S72 shown in FIG. 16). The decoding unit 427 decodes the input image data into image data before Huffman encoding processing (step S73 shown in FIG. 16).

  Subsequently, the descrambling means 473 rewrites the quantization table included in the image data based on the restoration parameter (step S74 shown in FIG. 16). For example, the descrambling unit 473 rewrites the quantization table illustrated in FIG. 35B to the original quantization table illustrated in FIG. When the descrambling unit 473 has completely rewritten the quantization table designated by the restoration parameter (when determined Yes in step S75 shown in FIG. 16), the inverse orthogonal transform unit 474 performs inverse orthogonal transform (this embodiment). Then, DCT inverse transform is performed, and the image data after inverse orthogonal transform is output to the output device 190 (steps S76 and S77 shown in FIG. 16).

  In this embodiment, the scramble processing device can realize the scramble processing by rewriting the quantization table. Further, the scrambler can release the scramble process by rewriting the rewritten quantization table to the original quantization table. Therefore, the time required for the scramble process and its release can be shortened.

  Further, the scramble processing device may convert the restoration parameter into key data and output it. Since this aspect and effect are the same as the aspect and effect demonstrated in Example 3, description is abbreviate | omitted.

  Further, as described in the third embodiment, the scramble parameter may be changeable. Since this aspect and effect are the same as the aspect and effect described in the third embodiment, the description thereof is omitted.

  In the fourth embodiment, a set of continuous still images may be input to the data processing apparatus. Then, the orthogonal transform unit 421, the scramble unit 422, the encoding unit 423, and the encoded data shaping unit 425 of the data processing device perform orthogonal transform (DCT in this embodiment) for each frame with each still image as a frame, scramble processing, An encoding process and a multiplexing process of additional information may be performed to output Motion-JPEG image data. Also, the decoding means 472, descrambling means 473, and inverse orthogonal transform means 474 of the descrambling apparatus perform decoding processing, descrambling processing, and inverse orthogonal transformation processing (DCT inverse transformation processing in this embodiment) for each frame, A set of continuous still images may be output. Further, this embodiment may be applied to MPEG.

  The present invention can be applied to a scramble processing device that performs scramble processing on an image and a scramble release device that cancels the scramble processing.

It is a block diagram which shows 1st Embodiment of the scramble processing apparatus by this invention. It is a block diagram which shows 1st Embodiment of the descrambling apparatus by this invention. It is a flowchart which shows operation | movement of the scramble processing apparatus in 1st Embodiment. It is a flowchart which shows operation | movement of the descrambling apparatus in 1st Embodiment. It is a block diagram which shows 2nd Embodiment of the scramble processing apparatus by this invention. It is a block diagram which shows 2nd Embodiment of the descrambling apparatus by this invention. It is a flowchart which shows operation | movement of the scramble processing apparatus in 2nd Embodiment. It is a flowchart which shows operation | movement of the descrambling apparatus in 2nd Embodiment. It is a block diagram which shows the other structural example of the scramble processing apparatus in 2nd Embodiment. It is a block diagram which shows 3rd Embodiment of the scramble processing apparatus by this invention. It is a flowchart which shows operation | movement of the scramble processing apparatus in 3rd Embodiment. It is explanatory drawing which shows the example of GUI which prompts the input of scramble parameter specific information. It is a block diagram which shows 4th Embodiment of the scramble processing apparatus by this invention. It is a block diagram which shows 4th Embodiment of the descrambling apparatus by this invention. It is a flowchart which shows operation | movement of the scramble processing apparatus in 4th Embodiment. It is a flowchart which shows operation | movement of the descrambling apparatus in 4th Embodiment. It is a block diagram which shows 5th Embodiment of the scramble processing apparatus by this invention. It is a block diagram which shows 5th Embodiment of the descrambling apparatus by this invention. It is a flowchart which shows operation | movement of the scramble processing apparatus in 5th Embodiment. It is a flowchart which shows operation | movement of the descrambling apparatus in 5th Embodiment. It is a block diagram which shows the other structural example of the scramble processing apparatus in 5th Embodiment. It is a block diagram which shows 6th Embodiment of the scramble processing apparatus by this invention. It is a flowchart which shows operation | movement of the scramble processing apparatus in 6th Embodiment. It is a flowchart which shows operation | movement of the scramble processing apparatus in 6th Embodiment. It is explanatory drawing which shows the format of the image data of JPEG2000. FIG. 10 is a block diagram illustrating an example of a data processing device in a third embodiment. It is explanatory drawing which shows the process in which image data is divided | segmented into a high frequency component and a low frequency component by wavelet transformation. It is explanatory drawing which shows the state which divided | segmented the low frequency subband into the subband again. It is explanatory drawing which shows the specific example of wavelet transformation. It is explanatory drawing which shows the example of the subband coefficient represented as a bit plane. It is explanatory drawing which shows the bit plane at the time of multiplying each subband coefficient to the power of 2. It is explanatory drawing which shows the example of the data shaping in the case where importance is attached to the resolution of an image. It is explanatory drawing which shows the example of data shaping in the case where importance is attached to the image quality of an image. FIG. 10 is a block diagram illustrating an example of a data processing device in a fourth embodiment. It is explanatory drawing which shows the example of a quantization table.

Explanation of symbols

DESCRIPTION OF SYMBOLS 110 Input device 120 Data processing device 121 Scramble means 140 Data storage device 141 Scramble parameter storage means 142 Restoration parameter storage means 150 Output device 160 Input device 170 Scramble release device 171 Scramble release means 172 Input means 190 Output device

Claims (36)

A scramble processing device that performs a scramble process that degrades the image quality of an image,
Scramble means for performing scramble processing by rewriting encoded image data based on a scramble parameter indicating data change contents during scramble processing;
A scramble processing apparatus comprising: image data output means for outputting image data rewritten by the scramble means. Scramble parameter storage means for storing scramble parameters,
The scramble processing apparatus according to claim 1, wherein the scramble means rewrites the image data based on the scramble parameter stored in the scramble parameter storage means. A scramble parameter setting unit configured to display a graphical user interface and set a scramble parameter according to information input via the graphical user interface;
The scramble processing device according to claim 1 or 2, wherein the scramble means rewrites the image data based on the scramble parameter set by the scramble parameter setting means. Based on the scramble parameter, a restoration parameter generating means for generating a restoration parameter indicating a change content of the image data at the time of descrambling,
The scramble processing apparatus according to any one of claims 1 to 3, further comprising a restoration parameter output unit that outputs the restoration parameter. Based on the scramble parameter, a restoration parameter generating means for generating a restoration parameter indicating a change content of the image data at the time of descrambling,
Key data generating means for converting the restoration parameter into key data that cannot be recognized by the descrambling means for releasing the scramble process;
The scramble processing apparatus according to claim 1, further comprising key data output means for outputting the key data. The scramble processing device according to any one of claims 1 to 5, wherein the scramble means rewrites data indicating a dynamic range of a subband coefficient included in JPEG2000 image data based on a scramble parameter. The scramble processing device according to any one of claims 1 to 5, wherein the scramble means rewrites a quantization table included in JPEG image data based on a scramble parameter. A scramble processing device that performs a scramble process that degrades the image quality of an image,
Orthogonal transformation means for orthogonal transformation of input image data;
Scramble means for performing scramble processing by rewriting data specified in the scramble parameter based on a scramble parameter indicating data change contents at the time of scramble processing;
A scramble processing apparatus comprising: encoding means for encoding image data after being orthogonally transformed by the orthogonal transform means. The scramble means rewrites the image data orthogonally transformed by the orthogonal transform means based on the scramble parameter,
The scramble processing apparatus according to claim 8, wherein the encoding means encodes the image data rewritten by the scramble means. The scramble processing apparatus according to claim 8 or 9, further comprising encoded data shaping means for rearranging data included in the image data encoded by the encoding means in a predetermined priority order. The orthogonal transform means divides the image data into subbands by wavelet transform,
The scramble processing device according to any one of claims 8 to 10, wherein the scramble means rewrites a subband coefficient of a subband designated by a scramble parameter. Quantization table storage means for storing a quantization table for quantizing image data after orthogonal transformation;
Quantizing means for quantizing image data after orthogonal transformation using the quantization table;
The encoding means encodes the quantized image data,
The scramble means reads the quantization table from the quantization table storage means, rewrites the quantization table based on the scramble parameter,
The scramble processing apparatus according to claim 8, further comprising encoded data shaping means for adding a rewritten quantization table to the encoded image data. Scramble parameter storage means for storing scramble parameters,
The scramble processing device according to any one of claims 8 to 12, wherein the scramble means rewrites data designated by the scramble parameter based on the scramble parameter stored in the scramble parameter storage means. A scramble parameter setting unit configured to display a graphical user interface and set a scramble parameter according to information input via the graphical user interface;
The scramble processing device according to any one of claims 8 to 12, wherein the scramble means rewrites data designated by the scramble parameter based on the scramble parameter set by the scramble parameter setting means. Based on the scramble parameter, a restoration parameter generating means for generating a restoration parameter indicating a change content of the image data at the time of descrambling,
The scramble processing apparatus according to any one of claims 8 to 14, further comprising: a restoration parameter output unit that outputs the restoration parameter. Based on the scramble parameter, a restoration parameter generating means for generating a restoration parameter indicating a change content of the image data at the time of descrambling,
Key data generating means for converting the restoration parameter into key data that cannot be recognized by the descrambling means for releasing the scramble process;
The scramble processing apparatus according to any one of claims 8 to 14, further comprising key data output means for outputting the key data. Image data input means for inputting image data subjected to scramble processing for degrading the image quality;
A restoration parameter input means for inputting a restoration parameter indicating the change contents of the image data at the time of descrambling;
A scramble release apparatus comprising: a scramble release means for releasing the scramble process by rewriting the image data input to the image data input means based on the restoration parameter. A descrambling device comprising descrambling means for canceling scrambling processing that degrades the image quality of an image,
Image data input means for inputting image data that has been scrambled;
Key data input means for inputting key data obtained by converting the restoration parameter indicating the change contents of the image data at the time of descrambling to be unrecognizable by the descrambling means;
Key data conversion means for converting the key data input to the key data input means into a restoration parameter,
The scramble release means releases the scramble process by rewriting the image data input to the image data input means based on the restoration parameter converted by the key data conversion means. . The descrambling device according to claim 17 or 18, wherein the descrambling means rewrites data indicating a dynamic range of a subband coefficient included in JPEG2000 image data based on the restoration parameter. The descrambling device according to claim 17 or 18, wherein the descrambling means rewrites a quantization table included in JPEG image data based on the restoration parameter. Image data input means for inputting image data that has been subjected to scramble processing and encoding processing for degrading image quality;
A restoration parameter input means for inputting a restoration parameter indicating the change contents of the image data at the time of descrambling;
Decoding means for decoding the image data input to the image data input means;
A descrambling device comprising: a descrambling means for canceling scrambling processing by rewriting image data based on the restoration parameter. A descrambling device comprising descrambling means for canceling scrambling processing that degrades the image quality of an image,
Image data input means for inputting image data that has been subjected to scramble processing and encoding processing for degrading image quality;
Key data input means for inputting key data obtained by converting the restoration parameter indicating the change contents of the image data at the time of descrambling to be unrecognizable by the descrambling means;
Key data conversion means for converting the key data input to the key data input means into a restoration parameter;
Decoding means for decoding the image data input to the image data input means;
A descrambling device comprising: a descrambling means for canceling a scramble process by rewriting image data based on the restoration parameter converted by the key data converting means. The image data input means inputs JPEG2000 image data,
The decoding means decodes the JPEG2000 image data,
The descrambling device according to claim 21 or 22, wherein the descrambling means rewrites the subband coefficients in the decoded image data based on the restoration parameter. The image data input means receives JPEG image data,
The descrambling device according to claim 21 or 22, wherein the descrambling means rewrites a quantization table included in the JPEG image data based on a restoration parameter. A scramble processing method for performing a scramble process that degrades the image quality of an image,
The scramble means performs the scramble process by rewriting the encoded image data based on the scramble parameter indicating the data change content during the scramble process,
A scramble processing method, wherein the image data output means outputs the image data rewritten by the scramble means. A scramble processing method for performing a scramble process that degrades the image quality of an image,
The orthogonal transformation means orthogonally transforms the input image data,
The scramble means performs the scramble process by rewriting the data specified in the scramble parameter based on the scramble parameter indicating the data change content at the time of the scramble process,
A scramble processing method, wherein the encoding means encodes the image data after being orthogonally transformed by the orthogonal transform means. The image data input means obtains image data that has been subjected to scramble processing that degrades the image quality of the image,
The restoration parameter input means obtains a restoration parameter indicating the change contents of the image data at the time of descrambling,
A scramble release method, wherein the scramble release means releases the scramble process by rewriting the image data acquired by the image data input means based on the restoration parameter. A descrambling method using descrambling means for releasing a scramble process that degrades the image quality of an image,
The image data input means acquires the scrambled image data,
The key data input means obtains key data obtained by converting the restoration parameter indicating the change contents of the image data at the time of descrambling to be unrecognizable by the descrambling means,
Key data conversion means converts the key data acquired by the key data input means into a restoration parameter,
The scramble release method, wherein the scramble release means releases the scramble process by rewriting the image data acquired by the image data input means based on the restoration parameter converted by the key data conversion means. The image data input means acquires image data that has been subjected to scramble processing and encoding processing that degrade the image quality of the image,
The restoration parameter input means obtains a restoration parameter indicating the change contents of the image data at the time of descrambling,
The decoding means decodes the image data acquired by the image data input means,
A scramble release method, wherein the scramble release means releases scramble processing by rewriting image data based on the restoration parameter. A descrambling method using descrambling means for releasing a scramble process that degrades the image quality of an image,
The image data input means acquires image data that has been subjected to scramble processing and encoding processing that degrade the image quality of the image,
The key data input means obtains key data obtained by converting the restoration parameter indicating the change contents of the image data at the time of descrambling to be unrecognizable by the descrambling means,
Key data conversion means converts the key data acquired by the key data input means into a restoration parameter,
The decoding means decodes the image data acquired by the image data input means,
The scramble release method, wherein the scramble release means releases the scramble process by rewriting image data based on the restoration parameter converted by the key data conversion means. A scramble processing program for causing a computer to execute scramble processing for degrading image quality,
On the computer,
A scramble processing program for executing a process of rewriting encoded image data and a process of outputting the rewritten image data based on a scramble parameter indicating data change contents during the scramble process. A scramble processing program for causing a computer to execute scramble processing for degrading image quality,
On the computer,
Processing to orthogonally transform the input image data,
A scramble processing program for executing a process of rewriting data designated by the scramble parameter and a process of encoding the image data after the orthogonal transformation based on a scramble parameter indicating the data change content at the time of the scramble process . On the computer,
Processing to acquire image data that has been scrambled to degrade the image quality,
A descrambling program for executing a process for acquiring a restoration parameter indicating a change in image data at the time of descrambling, and a process for releasing the scramble process by rewriting the obtained image data based on the restoration parameter. On the computer,
Processing to acquire image data that has been scrambled to degrade the image quality,
A process for obtaining key data obtained by converting a restoration parameter indicating a change of image data at the time of descrambling to a computer unrecognizable;
A descrambling program for executing a process of converting the key data into a restoration parameter and a process of releasing the scramble process by rewriting the acquired image data based on the restoration parameter. On the computer,
A process of acquiring image data that has been subjected to a scramble process and an encoding process that degrade the image quality;
A process for obtaining a restoration parameter indicating the change contents of image data at the time of descrambling,
A descrambling program for executing a process of decoding acquired image data and a process of releasing the scramble process by rewriting the image data based on the restoration parameter. On the computer,
A process of acquiring image data that has been subjected to a scramble process and an encoding process that degrade the image quality;
A process for obtaining key data obtained by converting a restoration parameter indicating a change of image data at the time of descrambling to a computer unrecognizable;
A process of converting the key data into a restoration parameter;
A descrambling program for executing a process of decoding acquired image data and a process of releasing the scramble process by rewriting the image data based on the restoration parameter.

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