JPH10336427A - Encoded image data display/conversion method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To prevent image quality from being deteriorated in the case of rotation/mirror display conversion by applying rotation conversion consisting of combination of rotation processing, horizontal mirror processing and vertical mirror processing to encoded image data subject to entropy decoding. SOLUTION: The JPEG data to be converted are Huffman-decoded to obtain a quantized DCT coefficient block (S101). Then the encoded quantized DCT coefficient block is inversely quantized (S102). Rotation mirror display conversion is conducted for each decoded DCT coefficient block (S103). The processing sequence of the converted blocks is rearranged in matching with the rotation mirror display conversion (S104). Then each DCT coefficient block is quantized (S105) to obtain the quantized coefficient block. Then finally Huffman coding is applied to each quantized DCT coefficient block (S106). Since no orthogonal transformation is used for the processing procedure, the processing is conducted at a high speed, and since no error in the floating point arithmetic operation by the orthogonal transformation is caused, the image quality is prevented from being deteriorated.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image data conversion method and an image processing apparatus for converting an image of image data encoded based on a certain image encoding method so as to perform rotation or mirror display. The present invention relates to a computer-readable information recording medium having a function of causing a computer to rotate an image.

[0002]

2. Description of the Related Art In recent years, when storing or transferring continuous tone image data such as a natural image, the amount of the image data is enormous. Therefore, it is common to reduce the data amount by encoding the image data. It is. As a natural still image data encoding method, ISO (International Standard Organizatio
n: International Organization for Standardization and CCITT (Comite Consulatif I)
nternationale telegraphicque et Telephonique: JPEG (Joint Photographic Expert Group), a joint group with the International Telegraph and Telephone Consultative Committee, now ITU-T)
Algorithm recommended by
EG) is known as an international standard. Below, J
It is assumed that image data encoded by PEG is called JPEG data. The above technique is described in detail in, for example, "International Standard for Multimedia Coding" (Maruzen Co., Ltd.).

The most basic encoding / decoding processing of JPEG will be described with reference to FIGS. 2, 3, 4 and 5. FIG. 2 is a flowchart illustrating an example of a JPEG encoding procedure.

First, the image data of a still image to be encoded is
It is divided into x8 pixel blocks (step 201). FIG. 3 shows an example of this block division. In FIG. 3, reference numeral 301 denotes an example of still image data having a horizontal width of 24 pixels and a vertical width of 16 pixels. In the case of the still image data 301, an 8 × 8 pixel block is divided into a total of six blocks of three horizontal blocks and two vertical blocks. In the subsequent processing in this example, A, B, C, D, E, and A shown in the divided blocks in FIG.
Assume that pixel blocks are processed in the order of F.

Next, DCT is performed for each divided pixel block.
(Discreate Cosine Transform)
(Step 202). DCT is a type of orthogonal transformation. Hereinafter, the block subjected to the DCT is referred to as a DCT coefficient block. The DCT coefficient block is composed of 8 × 8 like the pixel block.

Next, quantization is performed using a quantization table for each DCT coefficient block (step 203). For the quantization table, a block composed of 8 × 8 of an arbitrary quantization value is used. The quantization is realized by dividing the DCT coefficients constituting the DCT coefficient block by the corresponding quantization values in the quantization table. Hereinafter, a block obtained by quantizing the DCT coefficient block is referred to as a quantized DCT coefficient block.

[0007] Finally, the quantized DCT coefficient block is subjected to Huffman coding, which is a type of entropy coding (step 204). 8 × 8 in Huffman coding
Is scanned as one-dimensional data by the zigzag scan shown in FIG. 4, and Huffman coding is performed by assigning a Huffman code to a combination of a run length of 0 and a category indicating a magnitude of a value to be coded. The data after the Huffman encoding becomes JPEG data.
The JPEG data includes, in addition to the Huffman encoded data, still image data information such as the number of vertical and horizontal pixels of an image, and a quantization table and a Huffman table used in encoding.

The procedure of decoding JPEG data is exactly the reverse of the encoding procedure. FIG. 5 is a flowchart showing an example of a decoding procedure of the JPEG data encoded by the procedure of FIG. In decoding, first, Huffman decoding of Huffman code is performed using a Huffman table in JPEG data, and decoded into a quantized DCT coefficient block (step 501). Next, the quantized DCT coefficient block is inversely quantized using the quantization table of the JPEG data and decoded into a DCT coefficient block (step 50).
2). Next, the block group is stored in an IDCT (Inverse DC
T: inverse DCT) (step 503), and 8 ×
Return to the 8 pixel block. The 8 × 8 pixel block includes A, B, C,
Decoding is performed in the order of D, E, and F. Then, the decoded 8 × 8 pixel block is reconstructed (step 50).
4) By doing so, the still image data can be decoded.

JPEG data is often used as a format for digital still image data shot by a digital still camera. However, JPEG data photographed by a digital still camera often becomes JPEG data obtained by encoding still image data rotated by 90 ° or 180 ° depending on the direction of the camera at the time of photographing. Further, when editing an image, JPEG data of mirror display may be created from JPEG data.

Conventionally, a conversion procedure as shown in FIG. 6 has been performed in order to convert JPEG data into JPEG data of rotation / mirror display. That is, first, JPEG data to be converted is decoded and converted into still image data (step 601), and the still image data is subjected to rotation and mirror display conversion (step 602). Has to be re-encoded into JPEG data (step 603).

[0011]

In the prior art, JP
Encoding / decoding of EG data was required. J
Among the PEG encoding / decoding processing procedures, DCT / I
The DCT process takes a long time to calculate because of the floating-point precision matrix operation. For this reason, there is a problem that the image of the JPEG data cannot be rotated and mirror-display converted at high speed.

[0012] Also, since JPEG is a lossy still image encoding method in which the data amount is reduced by quantization, the still image data encoded and decoded once by JPEG has a lower image quality than the still image data before encoding. Will fall. Therefore, when the still image data once decoded for the display conversion of the JPEG data is re-encoded, there is a problem that the image quality is lower than that of the JPEG data before the processing.

An object of the present invention is to rotate / encode encoded data.
When performing mirror display conversion, or when creating encoded data that has been subjected to rotation / mirror display conversion from encoded data, image encoded data display conversion that minimizes image quality degradation or minimizes image quality degradation It is an object of the present invention to provide a method and an image processing apparatus and an information recording medium which realizes these by software.

Another object of the present invention is to provide a method for performing rotation / mirror display conversion from encoded data or generating encoded data obtained by performing rotation / mirror display conversion from encoded data. It is an object of the present invention to provide an image-encoded data display conversion method and image processing apparatus which minimizes the amount and an information recording medium which realizes them by software.

Another object of the present invention is to perform rotation / mirror display conversion from encoded data or to generate encoded data obtained by performing rotation / mirror display conversion from encoded data. It is an object of the present invention to provide an image-encoded data display conversion method / image processing apparatus with reduced deterioration of image quality and a reduced amount of processing for conversion, and an information recording medium that realizes them by software.

[0016]

In order to solve the above-mentioned problems, the present invention divides image data into blocks of a predetermined pixel unit, and applies at least orthogonal transformation, quantization, and entropy coding to each block. The image encoded data obtained by sequentially performing and encoding the image encoded data is rotated and displayed, and the entropy-encoded image encoded data is entropy-decoded for each of the blocks. The encoded image data obtained is rotated and converted by a combination of rotation processing, horizontal mirror processing, and vertical mirror processing.

According to the present invention, an image code obtained by dividing image data into blocks of a predetermined pixel unit and sequentially performing at least orthogonal transformation, quantization and entropy coding on each block is obtained. Image encoding data display conversion method for rotating and displaying encoded data, wherein the entropy decoding is performed by entropy decoding based on information used at the time of encoding the entropy encoded image encoded data for each block. The inversely quantized data is inversely quantized based on information used at the time of encoding, and the inversely transformed data is subjected to the inverse function transform by performing the orthogonal transform and the inverse function used at the time of encoding to perform the inverse processing. The rotation conversion is configured by a combination of mirror processing and vertical mirror processing.

Further, according to the present invention, an image code obtained by dividing image data into blocks of a predetermined pixel unit and sequentially performing at least orthogonal transformation, quantization and entropy coding on each block is obtained. Image encoding data display conversion method for rotating and displaying encoded data, wherein the entropy decoding is performed by entropy decoding based on information used at the time of encoding the entropy encoded image encoded data for each block. The inversely quantized data is inversely quantized based on the information used at the time of encoding, the inversely transformed data used at the time of encoding is subjected to the orthogonal transformation and the inverse function, and the inversely transformed data is subjected to rotation processing and horizontal transformation. When the rotation conversion is performed by a combination of the mirror processing and the vertical mirror processing, and the rotation conversion includes a 90 ° rotation, the arrangement of the data in the quantization table is changed. It was constructed to place.

[0019]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments of the present invention will be described with reference to the drawings. Hereinafter, JP as an example of encoded image data will be described.
This will be described using EG data.

In the following embodiment, the rotation / mirror conversion of JPEG data is realized by an example of an apparatus as shown in FIG. 7, an image coded data display conversion device 709 includes a CPU 701 for performing predetermined processing, a bus 702 for transferring data and control, a hard disk for storing programs and data, a floppy disk, and a CD-ROM.
Storage device 703 such as a memory and an MO, a main storage device 705 such as a memory for storing programs and data, an input device 706 such as a keyboard and a mouse, a communication control device 707 such as a network board and a modem, and a camera and a scanner such as a CCD. An input device 710 is provided. In this device,
The above components are connected by a bus 702 so that information can be transmitted to each other. The image coded data display conversion device 709 can transmit and receive data and programs to and from another device connected to the communication network 708 by using a communication network 708 such as a telephone line or a LAN.

Note that the storage device 703, the main storage 705, and the communication control device 707 are the image encoded data display conversion device 7
It is assumed that control is performed by control and data transmitted via the CPU 701 in accordance with the program executed in step 09.

The JPEG data rotation / mirror display conversion program used in the following embodiment and the JPEG data to be converted are read from another device on the communication network via the communication network 708 or the storage device 703. Can be. As for the JPEG data, an image is directly input from the image input device 710, and the data obtained by performing the JPEG encoding by the image input device 710 or the captured image is converted into a CP.
Data encoded by a program using U701 may be used. In addition, the JP that has been rotated and mirrored
The EG data can be sent to another device via the storage device 703 or the communication network 708. If an input is required to execute the program, the input device 706 is used.
Can be entered from

The storage device 703, the communication control device 70
7 and the image input device 710, if there is a device that is not directly related to input / output of data or a program, the device is connected to FIG.
Can be removed from the configuration.

Next, an embodiment will be described in detail with respect to a method of converting and displaying image encoded data realized by a program running on the above-mentioned apparatus. The program is stored in an information recording medium that can be read by the information processing device, and is read by the information processing device to cause the information processing device to execute a function of the program. In the following embodiment, a method of creating JPEG data obtained by rotating / mirror-converting already encoded JPEG data will be described. 90 ° right
Rotation, 180 ° rotation, 90 ° left rotation, mirror, 90 ° right
There are seven types: rotating mirror, 180 ° rotating mirror, and left 90 ° rotating mirror. In the present embodiment, all of the above seven conversions can be realized. Also, the program for realizing the image encoded data display conversion method is determined by inputting which rotation / mirror display conversion is to be performed by the input device 706 in advance, and executing the program.
Or program itself may each other to decide whether to which rotational mirror display converter beforehand.

A first embodiment of a method for converting and displaying image encoded data according to the present invention will be described with reference to the flowchart of FIG. In the following, a case of an image of a single color will be described for simplicity, but the same processing can be performed for a case including a plurality of colors.

First, JPEG data to be converted is Huffman-decoded to obtain a quantized DCT coefficient block (step 101). The Huffman table used here uses data included in the JPEG data to be converted. next,
The quantized DCT coefficient block encoded in step 101 is inversely quantized (step 102). In this inverse quantization, a quantization table included in the JPEG data to be converted is used. The processing of steps 101 and 102 is performed on all the encoded 8 × 8 blocks. FIG. 8 shows a JPEG having a width of 24 pixels and a height of 16 pixels.
4 shows an example of the arrangement of blocks obtained by decoding data. In this embodiment, as shown in FIG. 8, an 8 × 8 DCT coefficient block has three horizontal blocks and two vertical blocks have step 1.
01 and step 102, A ', B', C ',
It is assumed that decoding is performed in the order of D ', E', and F '.

Next, a rotation / mirror display conversion process is performed for each of the decoded DCT coefficient blocks (step 10).
3). This processing has three basic conversions. Hereinafter, details will be described with reference to FIGS. 9, 10, and 11.

FIG. 9 is a diagram showing processing for rotating an image by 90 ° clockwise and performing horizontal mirror display conversion.
Hereinafter, this processing is referred to as rotation processing. In FIG. 9, reference numeral 901 denotes an 8 × 8 coefficient block before processing, and 902 denotes an 8 × 8 coefficient block after processing. In the coefficient block 901 before the processing, the horizontal direction is represented by x and the vertical direction is represented by y, and the coefficient value is represented by a (x) (y). In this rotation processing, the values are rearranged to the coordinates where the coefficients x and y of the coefficient block 901 have been exchanged. The coefficient block 902 is converted by the rearrangement.

FIG. 10 is a diagram showing processing for converting an image into horizontal mirror display conversion. Hereinafter, this processing is referred to as horizontal mirror processing. In FIG. 10, 1
Reference numeral 001 denotes an 8 × 8 coefficient block after processing, and the meanings of the coordinates and the coefficient values are the same as those in FIG. In the horizontal mirror process, x inverts the sign of the coefficient of the odd coordinate.
The result of this processing is that the coefficient block 100
2.

FIG. 11 is a diagram showing a process for converting an image into vertical mirror display conversion. Hereinafter, this processing is referred to as vertical mirror processing. In FIG. 11, 1
Reference numeral 102 denotes an 8 × 8 coefficient block after processing, and the meanings of the coordinates and the coefficient values are the same as those in FIG. In this vertical mirror process, y inverts the sign of the coefficient of an odd coordinate. The coefficient block 1 converted by this processing is
102.

The rotation / mirror display conversion is the same as that described in the third embodiment.
This is realized by performing a transform for each DCT coefficient block by combining the different transforms. For example, in order to perform 90 ° clockwise conversion, a rotation process is performed for each DCT coefficient block and then a horizontal mirror process or a vertical mirror process is performed and then a rotation process is performed. In the case of the 180 ° rotation conversion, vertical mirror processing and horizontal mirror processing are performed for each DCT coefficient block. In the case of the 90 ° rotation conversion, a rotation process is performed for each DCT coefficient block and then a vertical mirror process or a horizontal mirror process is performed and then a rotation process is performed. In the case of mirror conversion, DC
Horizontal mirror conversion is performed for each T coefficient block. Also,
In the case of right 90 ° rotation mirror conversion, rotation conversion is performed. In the case of 180 ° rotation mirror conversion, vertical mirror processing is performed. Further, in the case of 90 ° left-rotation mirror conversion, for example, after performing rotation processing, horizontal mirror conversion and vertical mirror conversion may be performed.

Next, the arrangement of the processing order of the converted blocks is rearranged in accordance with the rotation / mirror display conversion (step 104). This rearrangement depends on the position of the DCT coefficient block where the 8 × 8 pixel block of the image data before the conversion is rearranged after the rotation / mirror processing. For example, FIG. 12 shows a rearrangement example of DCT coefficient blocks obtained by transforming the encoded DCT coefficient blocks shown in FIG. In FIG. 12, (a) is a 90-degree right rotation,
(b) 180 degree rotation, (c) 90 degree left rotation, (d) mirror, (e) 90 degree right rotation mirror, (f) 180 degree rotation mirror, (g) left 90 degree rotation mirror Of the DCT coefficient block in the above case. In the rearrangement of the block, the rearrangement is performed in consideration of where in the image the block should be moved by the conversion. Then, the processing order of the DCT coefficient blocks in the subsequent processing is different from the input order, and the processing is performed rightward sequentially from the upper left block,
When one line is completed, processing is performed in order from the left block of the next line. For example, in the case of (a) 90 ° clockwise rotation in FIG. 12, processing is performed in the order of D ′, A ′, E ′, B ′, F ′, and C ′. This step 104 is equivalent to step 10
There is no problem even if the processing is before or after 3.

Next, quantization is performed for each DCT coefficient block (step 105) to obtain a quantized coefficient block. At this time, the quantization table can use a block of an arbitrary 8 × 8 quantization value.

Finally, Huffman coding is performed for each quantized DCT coefficient block (step 106). The Huffman table used at this time may be a table prepared in advance or a table created for each Huffman encoding.

The J generated by this Huffman coding
The PEG data also includes image information such as the number of vertical and horizontal pixels of the image, and a quantization table and a Huffman table used for encoding. However, if the image is rotated 90 ° clockwise or 90 ° counterclockwise, information on the vertical and horizontal directions of the image, for example, the vertical and horizontal values of the JPEG data before and after conversion of the number of vertical and horizontal pixels are exchanged. Other data may be the same as the JPEG data before conversion.

As described above, JPEG
Data rotation / mirror display conversion can be realized.

In the above-described embodiment, the DC as shown in FIG.
Although the case where the JPEG data obtained by encoding the T coefficient block arrangement is to be converted has been described, the order of the DCT coefficient blocks of the JPEG data to be converted may be different from that in FIG. This is a case where two or more adjacent DCT coefficient blocks are encoded as one processing unit. Hereinafter, this processing unit is called a macroblock. An example will be described with reference to FIGS. 15 and 16, 1501 and 1504, 1601 and 1604 are 4 ×
4, DCT coefficient block arrangement example, 1502, 1602
Are macroblocks 1503, 1505, 1603, and 16 which are units of coding of DCT coefficient blocks at the time of coding.
05 is the processing order of the DCT coefficient block.

The DCT coefficient block arrangement 1501 in FIG.
In FIG. 5, a macroblock is formed by two DCT coefficient blocks and one horizontal. That is, the macro block 1502
Is formed of A 'and B', and similarly, C 'and D', E 'and F', G 'and H', I 'and J', K 'and L', M 'and N'',O' and P 'form a macroblock. The coding order of the macroblock in this case is
First, it proceeds from the upper left to the right in order. When it reaches the right end, it returns to the leftmost macroblock one step lower, and then goes to the right.
Repeat this. Also, the coding order of the DCT coefficient blocks in the macroblock is the same. Therefore, 1
In the case of a DCT coefficient block arrangement like 501, 1
The DCT coefficient blocks are encoded in an order such as 503 to become JPEG data.

For example, this DCT coefficient block arrangement 1
The case where the JPEG data encoded in 501 is subjected to a 90 ° right rotation conversion will be described. First, step 101 in FIG.
According to 102, the DCT coefficient blocks are decoded in the order of 1503, and a DCT coefficient block arrangement of 1501 can be obtained. A DCT coefficient block arrangement 1504 is obtained by performing a 90-degree right rotation conversion in step 103 and rearranging in step 104. At this time, the relationship between the macro blocks in the DCT coefficient block is not changed. For example, macro block 1502 is D
The CT coefficient block array 1504 is also composed of A 'and B'. Next, in steps 105 and 106, the JPE
The data is coded into G data. In this case, the data is coded in the order of 1505 according to the method described above. Also,
Conversely, JP coded by DCT coefficient block arrangement 1504
If the EG data is to be rotated by 90 ° to the left, in steps 103 and 104, the EG data is rotated by 90 ° to the left to
In the T coefficient block arrangement 1501, step 105,
At 106, the DCT coefficient blocks must be encoded according to the order of 1503.

The DCT coefficient block arrangement 1 shown in FIG.
In 601, a macroblock is formed of two vertical and two DCT coefficient blocks. For example, macroblock 1602 is formed from A ', B', C ', and D'. When the JPEG data encoded by the DCT coefficient block arrangement is rotated right by 90 °, first, step 10 in FIG.
According to 1, 102, DCT coefficient blocks are decoded in the order of 1603, and a DCT coefficient block arrangement of 1601 can be obtained. This is right 90 ° in step 103
A DCT coefficient block arrangement 1604 is obtained by performing the rotation transformation and relocating in step 104. At this time, the relationship between the macro blocks in the DCT coefficient block is not changed. Next, in steps 105 and 106, encoding is again performed on JPEG data. In this case, the encoding is performed in the order of 1605 according to the method described above.

A second embodiment of the image coded data display conversion method according to the present invention will be described with reference to the flowchart of FIG. In the flowchart of FIG. 13, the processes having the same reference numerals as those in FIG.

First, JPEG data to be converted is Huffman-decoded to obtain a quantized DCT coefficient block (step 101). Next, rotation / mirror display conversion processing is performed for each decoded quantized DCT coefficient block (step 1).
303). Next, the quantized DCT coefficient block subjected to the transform processing is rearranged in accordance with the rotation / mirror display transformation (step 1304). This step 130
The processing contents of Step 1 and Step 1302 are the same as Step 103 and Step 104 in FIG. 1 of the first embodiment, respectively. However, in the first embodiment, DC
While the T coefficient block is a processing target, this embodiment is different in that the processing is performed on a quantized DCT coefficient block. Finally, Huffman coding is performed for each quantized DCT coefficient block in accordance with the rearrangement order (step 106).

The J created by this Huffman coding
The PEG data also includes image information such as the number of vertical and horizontal pixels of the image, a quantization table, and a Huffman table used for encoding. As the quantization table, the same table as the quantization table included in the JPEG data to be converted is included in the converted JPEG data. But if right 90 °
When the image is rotated or rotated 90 degrees to the left, information on the vertical and horizontal directions of the image, for example, the number of vertical and horizontal pixels is replaced with the JPEG data before the conversion and the vertical and horizontal values, and the quantization value of the quantization table is further changed. The arrangement is changed, and the quantization table after the processing is included in the JPEG data.

FIG. 14 shows an example of the arrangement change of the quantization values in this quantization table. In FIG. 14, reference numeral 1401 denotes a quantization table before rearrangement, and 1402 denotes a quantization table after rearrangement. By applying the same processing to the quantization table 1401 as the rotation processing of FIG.
402 can be obtained.

As described above, JPEG
Data rotation / mirror display conversion can be realized.

This image rotation / mirror display conversion method is as follows.
An image coding method using orthogonal transform, for example, MPEG (Motion Picture Expert) which is an international standard for moving image coding.
s Group) can perform rotation and mirror display conversion in the same way.

[0047]

According to the present invention, encoded image data encoded by orthogonal transformation, quantization, and entropy encoding can be converted into encoded image data that has been rotated and mirror-display-converted.

Further, in the first embodiment of the present invention, since the processing procedure does not involve a time-consuming orthogonal transformation such as DCT or IDCT, the processing can be performed at a high speed, and an error of floating-point operation due to the orthogonal transformation occurs. Therefore, the conversion can be performed while suppressing the deterioration of the image quality.

In the second embodiment of the present invention, the first
In the same manner as in the embodiment, the orthogonal transform is not performed, and furthermore, the quantization and inverse quantization processes are omitted, so that the transform can be performed at a higher speed. By using the same table as the quantization table for the coded data, conversion can be performed without any deterioration in image quality.

[Brief description of the drawings]

FIG. 1 is a diagram showing a flowchart of a first embodiment.

FIG. 2 is a diagram showing a JPEG encoding procedure;

FIG. 3 is an explanatory diagram of block division of still image data.

FIG. 4 is a view for explaining the outline of zigzag scanning.

FIG. 5 is a diagram showing a decoding procedure of JPEG.

FIG. 6 is a diagram showing a conventional JPEG data rotation / mirror display conversion procedure.

FIG. 7 is a configuration diagram of an image coded data display conversion device.

FIG. 8 is a diagram showing an arrangement of DCT coefficient blocks obtained by decoding JPEG data.

FIG. 9 is an explanatory diagram of DCT coefficient block rotation / mirror display conversion processing;

FIG. 10 is an explanatory diagram of DCT coefficient block rotation / mirror display conversion processing;

FIG. 11 is an explanatory diagram of DCT coefficient block rotation / mirror display conversion processing;

FIG. 12 is a diagram showing rearrangement of DCT coefficient blocks.

FIG. 13 is a flowchart of the second embodiment.

FIG. 14 is a diagram illustrating quantization value arrangement conversion of a quantization table.

FIG. 15 is an explanatory diagram of a scan order of DCT coefficient blocks.

FIG. 16 is an explanatory diagram of a scan order of DCT coefficient blocks.

[Explanation of symbols]

301: Still image data 701: CPU 702: Bus 703: Storage device 705: Main memory 706: Input device 707: Communication control device 708: Communication network 709 ..Coding image display conversion device 710 ... Image input device 901 ... Coefficient block before processing 902 ... Coefficient block after rotation processing 902 ... Coefficient block after rotation processing 1001 ... Horizontal mirror Coefficient block after processing 1101 ... Coefficient block after vertical mirror processing 1401 ... Quantization table before rearrangement conversion 1402 ... Quantization table after rearrangement conversion 1501, 1504, 1601, 1604 ... DCT
Coefficient block arrangement 1502, 1602 ... macro block 1503, 1505, 1603, 1605 ... scan order

Claims (15)

[Claims] An image-encoded data display conversion method for rotating and displaying image-encoded data obtained by sequentially performing at least orthogonal transformation, quantization, and entropy encoding on image data, the method comprising: An image encoded data display conversion method comprising: performing entropy decoding on the encoded image encoded data; converting the decoded image data; and generating orthogonal transformation data for rotating and displaying the image data. . 2. Image data obtained by dividing image data into blocks of a predetermined pixel unit and sequentially performing at least orthogonal transformation, quantization and entropy coding on each of the blocks, An image-encoded data display conversion method for rotating and displaying, wherein the entropy-encoded image-encoded data is entropy-decoded for each block, and the decoded image-encoded data is rotated, horizontally mirrored, and vertically mirrored. An image encoded data display conversion method characterized by performing rotation conversion by a combination of processes. 3. The method according to claim 2, wherein the orthogonal transformation is a process of transforming an N × N pixel block into an N × N coefficient block, wherein the orthogonal transformation is performed in a horizontal direction of the coefficient block. And the coefficients in the vertical direction are represented by coordinates. In the rotation processing, the coefficients of the horizontal coordinates of the entropy-decoded data are used as the coefficients of the vertical coordinates, and the coefficients of the vertical coordinates are used as the coefficients of the horizontal coordinates. The horizontal mirror processing is a conversion for inverting the sign of an odd coefficient of horizontal coordinates of the entropy-decoded data, and the vertical mirror processing is a vertical direction of the entropy-decoded data. Wherein the sign of the odd coefficient of the coordinate of the image is inverted. 4. Image data obtained by dividing image data into blocks of a predetermined pixel unit and sequentially performing at least orthogonal transformation, quantization and entropy coding on each of the blocks, An image-encoded data display conversion method for rotating and displaying, wherein the entropy-encoded image-encoded data for each block is entropy-decoded based on information used at the time of encoding, and the entropy-decoded data is encoded. Inversely quantized based on the information used at the time of encoding, the inversely transformed data subjected to the inverse function transformation by performing the orthogonal transformation and the inverse function used at the time of encoding, and performing the rotation processing, the horizontal mirror processing, and the vertical An image encoded data display conversion method characterized by performing rotation conversion by a combination of mirror processing. 5. The method according to claim 4, wherein the orthogonal transform is a process of transforming an N × N pixel block into an N × N coefficient block, wherein the coefficient block has a horizontal direction. And the coefficients in the vertical direction are represented by coordinates,
The coefficient of the horizontal coordinate of the data subjected to the inverse function transformation is the coefficient of the vertical coordinate, and the coefficient of the vertical coordinate is the conversion of the coefficient of the horizontal coordinate.The horizontal mirror process is an inverse function. This is a conversion for inverting the sign of the odd coefficient of the horizontal coordinate of the converted data, and the vertical mirror processing is to convert the sign of the odd coefficient of the vertical coordinate of the inversely converted data. An image-encoded data display conversion method characterized by inverting. 6. Image data obtained by dividing image data into blocks of a predetermined pixel unit and sequentially performing at least orthogonal transformation, quantization and entropy coding on each of the blocks, An image-encoded data display conversion method for rotating and displaying, wherein the entropy-encoded image-encoded data is entropy-decoded for each block, and the decoded image-encoded data is rotated, horizontally mirrored, and vertically mirrored. When the rotation conversion includes a 90 ° rotation, the arrangement of the data in the quantization table is rearranged in consideration of where the block should be moved to the image by the rotation conversion. A method for displaying and converting encoded image data. 7. Image data obtained by dividing image data into blocks of a predetermined pixel unit and sequentially performing at least orthogonal transformation, quantization, and entropy coding on each of the blocks, An image-encoded data display conversion method for rotating and displaying, wherein the entropy-encoded image-encoded data for each block is entropy-decoded based on information used at the time of encoding, and the entropy-decoded data is encoded. Inverse quantization based on the information used at the time of encoding, the inversely transformed data subjected to the orthogonal transformation and inverse function used at the time of encoding, and the inversely transformed data are subjected to rotation processing, horizontal mirror processing, vertical Rotation conversion is performed by a combination of mirror processing. If the rotation conversion includes a 90 ° rotation, the data arrangement in the quantization table is converted by the rotation conversion. Coded image data display conversion method characterized in that the block is rearranged in consideration of whether to move to any position of the image Te. 8. An image processing apparatus having an input unit for inputting an image, a processing unit, an information processing unit, and an image information storage unit, wherein the image data input by the input unit is rotated to obtain the image information. When storing the image data in the storage unit, the processing unit divides the image data input from the input unit into blocks of a predetermined pixel unit, performs at least orthogonal transformation on each of the blocks, and performs orthogonal transformation on the image encoded data. An image processing apparatus characterized in that the image data is rotationally converted by a combination of a rotation process, a horizontal mirror process, and a vertical mirror process, and stored in the image information storage unit. 9. The image processing apparatus according to claim 8, wherein the encoded image data includes data in horizontal and vertical directions as coefficients, and the rotation processing includes a horizontal interpolation of the entropy-decoded data. The coefficient of the coordinate of the direction is a coefficient of the coordinate of the vertical direction, and the coefficient of the coordinate of the vertical direction is a conversion of the coefficient of the horizontal coordinate, the horizontal mirror processing, the horizontal coordinate of the entropy-decoded data of the horizontal coordinate An image processing apparatus, which is a conversion for inverting the sign of an odd coefficient, wherein the vertical mirror processing is for inverting the sign of an odd coefficient of a vertical coordinate of the entropy-decoded data. . 10. The image processing apparatus according to claim 8, wherein, when the rotation conversion includes a 90 ° rotation, the processing unit changes the arrangement of the data of the quantization table so that the block of the image is converted into an image by the rotation conversion. An image processing device, wherein the image information is stored in the image information storage unit which is rearranged in consideration of whether to move to a position. 11. An image processing apparatus having an input unit for inputting an image, a processing unit, an information processing unit, and an image information storage unit, wherein the image data input by the input unit is rotated to obtain the image information. When storing in the storage unit, the processing unit divides the image data input from the input unit into blocks of a predetermined pixel unit, performs at least orthogonal transformation on each block, and quantizes the orthogonally transformed data. The entropy-encoded image-encoded data for each block is entropy-decoded based on information used at the time of encoding, and the entropy-decoded data is inversely quantized based on information used at the time of encoding. The inversely-quantized data is subjected to orthogonal transformation and inverse function transformation used in encoding, and the inverse-transformed data is rotated, horizontally mirrored, and vertically transformed. An image processing apparatus that performs rotation conversion by a combination of error processing. 12. The image processing apparatus according to claim 11, wherein said encoded image data includes data in a horizontal direction and a vertical direction as coefficients, and in said rotation processing, data obtained by performing an inverse function transform. The horizontal mirror coefficient is a coefficient of a vertical coordinate, and the coefficient of the vertical coordinate is a coefficient of a horizontal coordinate. It is a conversion that inverts the sign of the odd coefficient of the direction coordinate, wherein the vertical mirror processing is to invert the sign of the odd coefficient of the vertical coordinate of the data subjected to the inverse function conversion. Characteristic image processing device. 13. The image processing apparatus according to claim 11, wherein, when the rotation conversion includes a 90 ° rotation, the processing unit converts the data arrangement of the quantization table into a block of the image by the rotation conversion. An image processing apparatus for rearranging images in consideration of a position to be moved. 14. The image processing apparatus according to claim 10, wherein the input unit includes a camera that captures an image. 15. An image processing apparatus having an input section for inputting an image, a processing section, an information processing section, and an image information storage section, wherein the image data is at least orthogonally transformed, quantized, and entropy code. Information recording medium for recording a program for performing image encoded data display conversion for rotating and displaying image encoded data obtained by sequentially performing encoding and encoding, the image input from the input unit A function of dividing data into blocks of a predetermined pixel unit, a function of at least orthogonally transforming each block, a function of quantizing the orthogonally transformed data, and a method of encoding the entropy-encoded image for each block A function of entropy decoding the data based on the information used at the time of encoding, and a function of entropy decoding the data based on the information used at the time of encoding. The inverse quantization function and the orthogonal transformation and inverse function transformation used for encoding the inversely quantized data, and the inverse function transformed data are subjected to rotation processing, horizontal mirror processing, and vertical mirror processing in combination. A computer-readable information recording medium having a function of performing rotation conversion.