JP2002374421A - Image processor and image processing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an image processor which can easily generate an image compression file from which other persons hardly restore the image. SOLUTION: This image processor has compressing means 101 to 105 which generate data in hierarchical structure for frequency bands by processing image data by wavelet conversion and generate encoded data by dividing the data in the hierarchical structure into a plurality of block areas and encoding the data for the block areas to generate the image compression file, an encoding order determining means 107 which optionally determines the order of the encoding carried out for the block areas in the compression processing of the image data by the compressing means 101 to 105, an encoding order storage means 107 which stores the encoding order determined by the encoding order determining means 106 while making it correspond to the image data, and an expanding means 110 which reads the encoding order corresponding to the image data out of the encoding order storage means 107 and expands the encoded data according to the encoding order when the image compression file is reproduced.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image processing apparatus and an image processing method.

[0002]

2. Description of the Related Art Multi-valued image data generated by a digital still camera or the like contains a great deal of information, and is stored in an internal storage medium such as a built-in memory or an external storage medium such as a memory card. When the data is transmitted to a peripheral device, for example, a computer terminal, a printer, a portable terminal, or the like, the data amount becomes enormous, and the processing time becomes extremely long. In recent years, the number of pixels of an image sensor that captures images has been increasing more and more, and the image quality tends to be higher.
Even one image may have a considerable data amount. Therefore, in general, in order to reduce the amount of stored data and speed up the transmission time, a process of encoding the obtained multi-valued image data and performing a compression process to greatly reduce the data amount is performed. .

[0003] As a general encoding and compression technique, JPEG, which is an international standard encoding method for still images, is known. In the JPEG encoding and compression method, image data of an original image is divided into a plurality of blocks, DCT coefficients are obtained from the pixel values in each block by using a discrete cosine transform (DCT), and the DCT coefficients are determined in advance. After the quantization in the quantization step, the data is encoded.

[0004]

An image compression file generated by compression processing is decompressed by a processing operation reverse to the compression processing. That is, in the case of an image compressed file that has been compressed using DCT as described above, the image is restored by decoding, inverse quantization, and inverse DCT, and the image is restored, and can be displayed on the screen. Restoration of an image by such decompression processing can be performed by any device by compressing the image data according to a certain standard, so even if the image requires confidentiality, the image can be restored. If the compressed file is taken out while being recorded on an external storage medium such as a memory card, it may be easily restored by another device and viewed by another person. In this case, a method of encrypting the compressed image file can be considered. However, a complicated circuit configuration for encryption and decryption is required separately, and there is a problem that the cost is increased. For this reason, it is desired that the confidentiality of the image data be kept high with a simple configuration.

Further, when an image is restored by decompressing the compressed image file which has been compressed as described above, a method of sequentially restoring the image sequentially from the top of the image or a method of gradually refining the image, etc. However, it is desired that an image can be displayed by a unique restoration method.

Further, when an image is restored by decompressing an image compressed file, it is desired to trim unnecessary portions so that an image of only necessary portions can be easily restored.

SUMMARY OF THE INVENTION The present invention has been made in view of such circumstances, and a first object is to provide an image processing apparatus and an image processing apparatus capable of easily generating an image compression file in which it is difficult for others to restore an image. An object of the present invention is to provide an image processing method.

Another object of the present invention is to provide an image processing apparatus and an image processing method capable of displaying a unique image when restoring an image by expanding an image compression file.

A third object is to provide an image processing apparatus and an image processing apparatus which can easily display an image by restoring only a necessary area when an image is restored by expanding an image compression file. It is to provide a method.

[0010]

According to a first aspect of the present invention, there is provided an image processing apparatus, comprising: performing a wavelet transform on image data to generate hierarchical structure data for each frequency band; Each of the image data is divided into a plurality of block areas, and encoded data is generated by performing encoding in units of each block area, and a compression unit that generates an image compression file. Coding order determining means for arbitrarily determining the order of coding performed in units of block regions; and coding order storage for storing the coding order determined by the coding order determining means in association with the image data. Means for reading out the encoding order corresponding to the image data stored in the encoding order storage means at the time of reproducing the image compressed file, and encoding the image data based on the encoding order. An image processing apparatus characterized by having a decompressing means for decompressing processing data.

According to a second aspect of the present invention, the image data is subjected to wavelet transform to generate hierarchical structure data for each frequency band, each hierarchical structure data is divided into a plurality of block areas, and a random number is determined for each block area. By performing encoding in order, encoded data is generated to generate an image compression file, and when the image compression file is reproduced, decompression processing is performed based on the encoding order when the image data is compressed. This makes it possible to reproduce image data.

According to a third aspect of the present invention, the image data is subjected to a wavelet transform to generate hierarchical structure data for each frequency band, and each hierarchical structure data is divided into a plurality of block areas, and each block area is divided into blocks. A compression unit that generates encoded data by performing encoding and generates a compressed image file, and at the time of the compression processing of the image data by the compression unit, the order of encoding performed for each block area is randomly set. And an encoding order conversion unit for recording information about the position in encoded data for each block area.

According to a fourth aspect of the present invention, the image data is subjected to a wavelet transform to generate hierarchical structure data for each frequency band, each hierarchical structure data is divided into a plurality of block areas, and a random number is determined for each block area. An image processing method is characterized in that encoded data is generated by performing encoding in order, an image compression file is generated, and information on the position of each block area is recorded in each encoded data.

According to a fifth aspect of the present invention, the image data is subjected to a wavelet transform to generate hierarchical structure data for each frequency band, each hierarchical structure data is divided into a plurality of block areas, and each block area is divided into blocks. Decompression processing means for decompressing an image compression file obtained by performing encoding and generating encoded data, and specifying a specific area during decompression processing of the image compression file by the decompression processing means. An area specifying means for expanding only encoded data corresponding to a specified area.

According to a sixth aspect of the present invention, the image data is subjected to a wavelet transform to generate hierarchical structure data for each frequency band, which is divided into a plurality of block regions, and encoding is performed for each block region. A decompressing process for decompressing an image compressed file obtained by generating encoded data by specifying a specific area and decompressing only the encoded data corresponding to the specified area. Processing method.

[0016]

Embodiments of the present invention will be described below.

FIG. 1 shows a first embodiment of the image processing apparatus according to the present invention.
FIG. 3 is a configuration block diagram illustrating an embodiment. The image processing apparatus and the image processing method according to the first embodiment will be described with reference to FIG.

In the figure, 101 is an image data input unit, 102 is a wavelet transform unit, 103 is a quantization unit, 104 is a coefficient bit modeling unit, 105 is a coding unit, 106 is a coding order determination unit, and 107 is a code. A decoding order storage unit, 108 is an encoded data output unit, 109 is an encoded data input unit, 110 is a decompression processing unit, and 111 is a decompressed data output unit.

The image data input unit 101 receives image data generated by an image pickup device such as a CCD included in a digital still camera, a scanner, or the like to be encoded. The input image data is subsequently output to the wavelet transform unit 102.

The wavelet transform unit 102 converts each pixel data of one screen input from the image data input unit 1 into
A known discrete wavelet transform is performed to decompose the data into a plurality of frequency bands called subbands.

This discrete wavelet transform is shown in FIG.
As shown in FIG. 3, the frequency components of the image data shown in FIG. 3A are passed through a low-pass filter (LPF) and a high-pass filter (HPF) in the order of the horizontal direction and the vertical direction. In addition to decomposing the data into components (H), the data is down-sampled by half, and LL, HL, L as shown in FIG.
Subband encoding is performed on a subblock including four components of H and HH.

Next, the same processing as described above is performed on the LL component of the generated four sub-blocks, thereby further dividing the LL component into four sub-blocks.
LLLL, LLHL, LLLH, L as shown in (c)
Sub-band coding is performed on seven sub-blocks of LHH, HL, LH, and HH to generate hierarchical data. In the case of image data with a large number of pixels, by performing the same processing as described above, the LLLL component is further divided into sub-blocks as shown in FIG. It is possible.

In the example shown in FIG. 2C, the wavelet transform coefficient generated by the above-described subband coding is LL.
LL, LLHL, LLLH, LLHH, HL, LH, H
H are sent to the quantization unit 103 in the order of H.

The quantization section 103 quantizes the wavelet transform coefficients for each sub-band at a quantization step determined for each sub-band. Assuming that the quantization step in the quantization unit 103 is 1, quantization may not be performed substantially.

After quantizing all wavelet transform coefficients in one sub-band in quantization section 103, the quantized value is output to coefficient bit modeling section 104.

The coefficient bit modeling section 104 converts the quantized data of the wavelet transform coefficients quantized by the quantization section 103 from a high energy MSB (Most Significant Bit) to a low energy LSB (Least Significant Bit) as shown in FIG. Least Significant Bits) and a plurality of bit planes BP1, BP2,.
To a bit plane. The quantized data of the bitlet-converted wavelet transform coefficients is encoded by the encoding unit 105.
And encoded here.

In the encoding unit 105, known arithmetic encoding is performed. The encoding unit 105 divides the quantized wavelet transform coefficients into a plurality of block regions called code blocks for each sub-block, and performs encoding in units of the block regions. FIG. 5 shows one block area when one sub-block is divided into block areas of 16 × 16 pixels. The block area is further divided into stripes, and the encoded data is generated by scanning the inside of each stripe vertically from the upper left and performing arithmetic coding for each block area. The illustrated example shows a case where the stripe width is 4.

When all the block areas are encoded by the encoding unit 105 and encoded data is generated, a necessary header and the like are added to generate an image compression file. The encoding unit 105 includes an encoding order determination unit 106 that is an encoding order determination unit that arbitrarily determines the order in which the encoding is performed in block area units. The encoding is performed in units of each block area in accordance with the encoding order determined by the above.

That is, usually, the encoding in each block area unit is performed by a subband having the lowest frequency component of the MSB bit plane (for example, the LLLLLL component in FIG. 2D).
, The block area corresponding to the position of the block area on the plane immediately below the MSB is encoded. Similar processing is repeatedly performed up to the LSB plane. Next, the position of the block area is moved, and the data is encoded from the MSB to the LSB in the same manner as described above. After all the sub-bands of one frequency component have been encoded in this way, the sub-bands of the high-frequency component are sequentially encoded in block area units.

This will be further described with reference to FIG. Here, for simplicity of explanation, the image data is converted from MSB to LSB.
Up to three bit planes (A, B, C)
In one bit plane, one sub-block divided into four block areas (00, 01, 10, 11) is illustrated.

Normally, the image data is encoded as described above by A00, B00, C00, A01, B01, C0.
1, A10, B10, C10, A11, B11, C11
Are performed in the order shown in FIG.
As shown in the figure, each data block b1, b2,... Bn between the file header and the file end marker is stored as an image compression file. The order is arbitrarily determined by the coding order determining unit 106.

The encoding order is determined by the encoding order determining unit 10.
In 6, it may be determined by one encoding order set in advance to be random, but the encoding order arbitrarily set in advance to be random,
For example, No. 0 = A00, A01, A10 ..., No. 1 = A0
1, B11, C10 ..., No. 2 = B10, C11, A10
A plurality of patterns are prepared in such a manner that one pattern is arbitrarily selected from the coding order of the plurality of patterns each time coding is performed, or each time coding is performed. Preferably, the encoding order is determined randomly.

In the encoding section 105, for example, in FIG. 6, A01, B11, C10, A11,
B10, A00,..., C00, B01, and so on, the coding in each block area unit is performed in a random order.
As shown in (b), each data block b1 ′, b2 ′... B between the file header and the file end marker
The image compression files are generated by storing them in n ′. At this time, the file header of the generated compressed image file records information on the encoding order when the block area is encoded.

When one pattern is selected from the coding order of a plurality of patterns, information indicating the pattern (No. 0, No. 1, No. 2, etc.) When the encoding order is determined at random each time is performed, an ID number or the like issued in association with the encoding order is cited. In FIG. 7B, information “0” indicating a pattern is recorded.

The coding order determined by the coding order determining unit 106 is output to a coding order storage unit 107.
In the encoding order storage unit 107, the encoding order determining unit 106
The encoding order sent from is stored. That is, when one pattern is selected from the coding order of a plurality of patterns, the data of the coding order in each pattern (No. 0, No. 1, No. 2, etc.) (No. 0 = A00, A01, A10...). , 1
No. = A01, B11, C10..., No.2 = B10, C1
1, A10...) Are sent from the encoding order determination unit 106 and stored. If the encoding order is determined randomly each time encoding is performed, information such as a combination of a randomly determined encoding order and an ID number is transmitted from the encoding order determination unit 106. Stored. If the encoding order is the former one selected from a plurality of preset patterns, the data of the encoding order of the plurality of patterns is stored in the encoding order storage unit 107 in advance. It may be.

The compressed image file generated by encoding in the encoding unit 105 is output to the encoded data output unit 108, and a recording medium such as a hard disk, a RAM, and a ROM capable of storing the compressed image file. Is output to

On the other hand, at the time of reproducing the image compressed file generated in this way, the image compressed file is read out from the recording medium, so that the encoded data input section 109 is read.
Is output to a decompression processing unit 110 which is a decompression means, and is decompressed.

The decompression processing unit 110 restores the image data through the steps of decoding, inverse quantization, and inverse wavelet transform in accordance with the procedure reverse to the above-described compression encoding. When decompressing a compressed file, the encoding order corresponding to the image compression file is read from the encoding order storage unit 107, and decompression is performed based on the read encoding order.

For example, when the image compression file shown in FIG. 7B is decompressed, the order of encoding in block area units is determined by the encoding order determination unit 106 as A01, B11, C11.
.., A11,... Are randomly determined, and are stored in the coding order storage unit 107. Therefore, information on the coding order is read from the file header,
The data in the corresponding encoding order is stored in the encoding order storage unit 10.
7 is read. In this case, since the encoding order is encoded in block area units in the order of pattern 0 selected from a plurality of patterns, the information of pattern 0 recorded in the file header is read out, and then the encoding order is stored. The encoding order data of the pattern 0 is read from the unit 107.

The decompression processing unit 110 rearranges the encoded data of each block area in the original order using the read encoding order data as a key, and decompresses the rearranged encoded data. By doing so, image data is obtained and output from the decompressed data output unit 111.

Although not shown, the image data output from the decompressed data output unit 111 is converted into a signal suitable for screen display by signal processing at a later stage, and is appropriately displayed on image display means such as an LCD monitor. Is done. However, when the image compression file shown in FIG. 7B is decompressed by another device, there is no data in the encoding order as a key.
.. Are expanded in the order of 1, C10, A11,..., And the image data cannot be properly restored. Therefore,
It is impossible for others who do not have the data in the key encoding order to properly reproduce the image compressed file, and the confidentiality of the image data can be reduced with a simple configuration without complicated encryption / decryption processes. Will be retained.

In particular, since the image data is encoded in units of each block area of each hierarchical structure data, randomization can be performed by two parameters of the hierarchical structure data and the block area, and higher confidentiality is maintained. be able to.

FIG. 8 is a configuration block diagram showing a second embodiment of the image processing apparatus. An image processing apparatus and an image processing method according to the second embodiment will be described with reference to FIG.

In the figure, 201 is an image data input unit, 202 is a wavelet transform unit, 203 is a quantization unit, 204 is a coefficient bit modeling unit, 205 is a coding unit, 206 is a coding order conversion unit, and 207 is a code. It is a coded data output unit. The configuration and function of the image data input unit 201, wavelet transform unit 202, quantization unit 203, coefficient bit modeling unit 204, encoding unit 205, and encoded data output unit 207 are described in FIG. 101, a wavelet transform unit 102,
Since they are the same as the quantization unit 103, the coefficient bit modeling unit 104, the encoding unit 105, and the encoded data output unit 108, detailed description will be omitted.

In this embodiment, the encoding order conversion unit 20
Reference numeral 6 denotes a coding order conversion unit for performing a random order in performing coding for each block area in the coding unit 205. That is, in the coding unit 205, the coding order conversion unit 206 performs coding for each block area in a random order. The order is
The order may be determined by a fixed pattern set at random in advance, or may be determined so as to be in a different random pattern order every time encoding is performed.

In the encoding unit 205, for example, in accordance with the random encoding order by the encoding
, B01, A11, C10, A01, C00,
.. C11, B10, etc., encoding is performed randomly for each block area to generate an image compression file as shown in FIG.

It should be noted that the encoding order conversion unit 206
When generating the encoded data of 1, A11,..., Information on the position of each block area, that is, information indicating which bit plane, which sub-block, which position is the data, The encoded data of the block area is recorded in the header of each data block b1 ", b2"... For example, when the encoded data of the block area of B01 is stored in the data block b1 ″, the encoded data is “00” to “1” of the bit plane of “B”.
Information indicating that the data is at the position "01" of the sub-block consisting of "1" is recorded.

The image compression file generated by the encoding in the encoding unit 205 in this manner is
The data is output from the encoded data output unit 207 and output to a recording medium such as a hard disk, a RAM, and a ROM that can store the image compression file.

The image compressed file generated in this manner is reproduced on a device capable of reproducing an image, such as a personal computer terminal, a portable information terminal, a digital still camera, or the like. FIG.
0 shows an example of a block diagram of a playback device for playing back the compressed image file. In the figure, 207 is an encoded data input unit, 208 is a decompression processing unit, 209 is a signal processing unit, 210 is an internal memory, and 211 is an image display unit.

The compressed image file fetched by the coded data input unit 207 is decoded by the decompression unit 208, and the image data is restored through the steps of inverse quantization and inverse wavelet transform. The restored image data is sent to the signal processing unit 209 at the subsequent stage, where it is subjected to predetermined signal processing to be converted into a signal suitable for screen display.

Next, the image data is processed based on the information on the position of the block area recorded in the header of each data block b1 ", b2"... Of the image compression file.
The data is written to a predetermined address in the internal memory 210 such as a DRAM. That is, for example, when the image compression file shown in FIG. 9 is decompressed, the order of encoding the block areas is randomly performed in the order of B01, A11, C10, A01,. Is recorded in the header of each data block b1 ", b2"..., For example, the data obtained by expanding B01 is stored in the internal memory 210 based on the position information.
Is written to the address corresponding to the position of B01.

On the other hand, the image display unit 211
Data of ten fixed addresses are always read out and screen display is performed. Therefore, if nothing is written at the read address, a black image is output. Here, the expanded image data is stored in the internal memory 210 in a random order,
Because it is written to a predetermined address in a random order,
In the image display unit 211, a screen is displayed from the portion written in the internal memory 210. Generally, the reproduced (decompressed) image is slower than the display image processing, and the image appears to be gradually displayed. Therefore, in this case, since the image fragments appear in a matrix and the image is formed, a unique reproduction display can be performed.

FIG. 11 is a configuration block diagram showing a third embodiment of the image processing apparatus. The image processing apparatus and the image processing method according to the third embodiment will be described with reference to FIG.

In the figure, reference numeral 301 denotes an encoded data input unit, 302 denotes a decompression processing unit, 303 denotes an area designation unit, 304
Denotes a signal processing unit, and 305 denotes an image display unit.

From the encoded data input unit 301, an image compression file obtained by encoding image data is input. The encoded data input unit 301 is an interface for receiving data of, for example, an internal recording medium or an external recording medium on which an image compression file is recorded.

The image compression file input from the encoded data input unit 301 is an image compression file generated through wavelet transform, quantization, coefficient bit modeling, and encoding. This is the same as the image compression file generated through the wavelet transform unit 102, the quantization unit 103, the coefficient bit modeling unit 104, and the encoding unit 105 shown in (a), and a detailed description is omitted here.

The compressed image file captured from the encoded data input unit 301 is output to the decompression processing unit 302,
Image data is restored through the steps of decoding, inverse quantization, and inverse wavelet transform in the expansion processing unit 302. In the present embodiment, when the image compression file is expanded by the expansion processing unit 302, An area specifying unit 303 is provided as area specifying means for expanding only a specific area. Only the encoded data of the area specified by the area specifying unit 303 is expanded.

For example, in the case of the data structure shown in FIG.
When it is desired to obtain an image of an area corresponding to the block areas 10, 10, B10 and C10 (to display the screen), the area designating unit 3
In 03, by designating only the block areas A10, B10, and C10, only the designated area is subjected to the extension processing in the extension processing unit 302.

In the area designating section 303, a method of designating a specific area can be performed by designating a zoom, for example, twice lower left.

The image data expanded in this way is sent to a signal processing unit 304, and the signal processing unit 304
After being converted into a signal suitable for screen display in, the signal is output to the image display unit 305. At this time, the image reproduced and displayed on the image display unit 305 is only the area designated by the area designation unit 303, and an image obtained by trimming other unnecessary areas is displayed.

The image compression file generated according to the present invention described above is subjected to wavelet transform to generate hierarchical structure data for each frequency band, and divides each hierarchical structure data into a plurality of block areas. Any type may be used as long as it is encoded and compressed, but JPEG which was internationally standardized at the end of 2000
The present invention can be implemented more easily if the image compression file conforms to the 2000 format.

[0062]

According to the first aspect of the present invention, it is possible to provide an image processing apparatus capable of easily generating an image compression file in which it is difficult for another person to restore an image.

According to the second aspect of the present invention, it is possible to provide an image processing method capable of easily generating an image compressed file in which it is difficult for another person to restore an image.

According to the third aspect of the present invention, when the image is restored by expanding the image compressed file,
An image processing apparatus capable of displaying a unique image can be provided.

According to the fourth aspect of the present invention, when the image is restored by expanding the image compressed file,
An image processing method capable of performing a unique image display can be provided.

According to the fifth aspect of the present invention, when the image is restored by expanding the image compressed file,
An image processing apparatus capable of restoring only a necessary area and easily displaying an image can be provided.

According to the invention described in claim 6, when the image is restored by expanding the image compressed file,
An image processing method capable of restoring only a necessary area and easily displaying an image can be provided.

[Brief description of the drawings]

FIG. 1 is a configuration block diagram illustrating a first embodiment of an image processing apparatus.

FIGS. 2A to 2D are explanatory diagrams showing a state in which image data is decomposed into a plurality of subbands.

FIG. 3 is an explanatory diagram showing a filter configuration in wavelet transform.

FIG. 4 is an explanatory diagram showing a state in which image data is converted into a bit plane.

FIG. 5 is an explanatory diagram showing an example in which one sub-block is divided into coding blocks.

FIG. 6 is an explanatory diagram showing a state in which image data is converted into a bit plane in a simplified manner.

FIGS. 7A and 7B are explanatory diagrams showing a file structure of an image compression file.

FIG. 8 is a configuration block diagram illustrating a second embodiment of the image processing apparatus.

FIG. 9 is an explanatory diagram showing a file structure of an image compression file.

FIG. 10 is a configuration block diagram of a playback device for playing back an image compression file.

FIG. 11 is a configuration block diagram illustrating a third embodiment of the image processing apparatus.

[Explanation of symbols]

 101, 201, 301: image data input unit 102, 202: wavelet transform unit 103, 203: quantization unit 104, 204: coefficient bit modeling unit 105, 205: encoding unit 106: encoding order determination unit 107: encoding Order storage units 108, 207: coded data output units 109, 207: coded data input units 110, 208, 302: decompression processing units 111: decompression data output units 206: coding order conversion units 209, 304: signal processing units 210: Internal memory 211, 305: Image display unit 303: Area designation unit

 ──────────────────────────────────────────────────の Continuing on the front page (72) Inventor Etsuko Rokutanda 2970 Ishikawacho, Hachioji-shi, Tokyo Konica Corporation F term (reference) 5C059 MA24 MA35 MC11 SS15 UA02 UA05 UA12 UA14 UA15 UA38 5C075 AA90 EE03 FF90 5C076 AA02 BA09 CA08 5C078 AA04 BA44 BA53 CA14 CA47 DA01 DA02 DB19 5J064 AA02 AA04 BA16 BC01 BC11 BC16 BD01

Claims (6)

[Claims] 1. A wavelet transform is applied to image data,
While generating hierarchical structure data for each frequency band, each hierarchical structure data is divided into a plurality of block areas,
A compression unit that generates encoded data by performing encoding in each block area unit and generates an image compression file, and at the time of compression processing of image data by the compression unit,
Encoding order determining means for arbitrarily determining the order of encoding performed for each block area; and an encoding order for storing the encoding order determined by the encoding order determining means in association with the image data. Storage means, at the time of reproduction of the image compressed file, expansion means for reading the encoding order corresponding to the image data stored in the encoding order storage means, and expanding the encoded data based on the encoding order, An image processing apparatus comprising: 2. A wavelet transform is applied to image data.
Generates hierarchically structured data for each frequency band, divides each hierarchically structured data into a plurality of block areas, and performs encoding in a random order for each block area to generate encoded data and generate an image compression file. And reproducing the compressed image file by performing decompression processing based on the encoding order at the time of compression processing of the image data during reproduction of the image compressed file. . 3. A wavelet transform is applied to the image data.
While generating hierarchical structure data for each frequency band, each hierarchical structure data is divided into a plurality of block areas,
A compression unit that generates encoded data by performing encoding in each block area unit and generates an image compression file, and at the time of compression processing of image data by the compression unit,
An image processing apparatus comprising: a coding order conversion unit that randomly performs a coding order performed for each block region and records information about a position in coded data for each block region. 4. A wavelet transform is applied to the image data.
Generates hierarchical structure data for each frequency band, divides each hierarchical structure data into a plurality of block areas, and performs encoding in a random order for each block area to generate encoded data and generate an image compression file. Generate
An image processing method characterized by recording information on a position for each block area in each encoded data. 5. A wavelet transform is applied to image data.
While generating hierarchical structure data for each frequency band, each hierarchical structure data is divided into a plurality of block areas,
Decompression processing means for decompressing an image compressed file obtained by performing encoding in units of each block area to generate encoded data; and a specific area when decompressing the image compressed file by the decompression processing means. And an area designating unit for designating only the encoded data corresponding to the designated area. 6. A wavelet transform is performed on the image data.
Generates hierarchical structure data for each frequency band, divides it into a plurality of block areas, and performs encoding for each block area to generate encoded data. An image processing method which designates a specific area and decompresses only encoded data corresponding to the specified area.