JPH05135144A - Image editing device - Google Patents

Abstract

PURPOSE:To minimize deterioration in picture quality due to editing by finding a tertiary value by passing the composition or addition result of a secondary conversion value and a secondary conversion value for an image before an alteration through an encoding means. CONSTITUTION:When an image which is processed by an image editing means is used to update an image on a storage means, the processed image or the difference between the processed image and the image before the processing is passed through an orthogonal converting means 212 and a quantizing means 213, and the secondary conversion value Zuv outputted by the quantizing means 213 at this time and the secondary conversion value Zuv (information before editing) outputted by a decoding means 231 for the image before the processing are synthesized or added. The result is passed through the encoding means 214 to obtain the updated tertiary conversion value (CODE), which is stored on the storage means. Consequently, only edited information on the image is processed by orthogonal conversion (discrete cosine conversion) and inverse orthogonal conversion, and quantization and inverse quantization.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image editing apparatus, and more particularly to an image editing apparatus that stores and holds edited image information after compressing the amount of information.

[0002]

2. Description of the Related Art In a device generally called an image filing system, for example, an image read from an image scanner or an image created by a word processor is recorded on a predetermined recording medium (magnetic disk or optical disk) as information in a bitmap format. You can record and save it, search for specific information from the saved information group as needed, read it out, display the read out image on a TV monitor, or output it as a hard copy on a printer. , The image can be edited and saved again in the recording medium.

In this type of image filing system, the information to be saved is bitmap type image information, and the amount of information is very large. Therefore, in order to save a large amount of images, it is important to store the image information in a recording medium in a coded and compressed form.

When handling multi-valued two-dimensional image information, it is encoded by using ADCT (Adaptive Discrete Cosine Transform) which is a high efficiency encoding technique adopted as a standard method in various fields. The amount of image data to be saved can be greatly reduced.

[0005]

However, when encoding and decoding are performed using the standardized ADCT technique, an error occurs at the time of conversion, although it is relatively small. That is, as shown in FIG. 2, the gradation of the image information is 8 bits, and the DCT output and the output part of the quantization handle 11-bit length data respectively, so that they are stored when encoded and when encoded. When the read image is read from the disk and decoded, an error occurs due to rounding of bits in each conversion unit.

In the field where updating of image information is unnecessary,
Since the above-mentioned error occurs only once, the error is small and the deterioration of the image hardly occurs. However, when the operation of, for example, reading out an image that has been created once, encoded and stored in the disc, edited, and then encoded and stored again is repeated many times, the above errors are accumulated and a large error occurs. Will be deteriorated.

Therefore, it is an object of the present invention to prevent the errors that accompany it from accumulating and maintain the quality of the edited image even when the encoding / decoding process is repeatedly executed. And

[0008]

In order to solve the above problems, in the first aspect of the invention, blocks of N × N pixels are sequentially extracted from image information, and each block is subjected to a two-dimensional orthogonal transform process. Orthogonal transformation means for obtaining N × N primary transformation values from the block; the primary transformation values output from the orthogonal transformation means are quantized, and the respective secondary transformation values quantized are quantized. Quantization means for obtaining the ternary transformation value output from the quantization means, and coding means for deriving a cubic transformation value obtained by coding the quadratic transformation value; cubic transformation value output by the coding means Storing means for storing the third-order conversion value stored in the storage means and inversely converting the third-order conversion value into the second-order conversion value; the second-order conversion value output by the decoding means for the first-order conversion Inverse quantization means for inversely transforming into a transformed value; said inverse quantization means Inverse orthogonal transform means for processing the N × N primary output values output by to reproduce the image information of N × N pixels; processing the image information reproduced by the inverse orthogonal transform means as necessary. Image editing means; and, when updating the image on the storage means with the image processed by the image editing means, the pixel area having at least a difference between the processed image and the unprocessed image is processed. Image or a difference between the processed image and the unprocessed image is passed through the orthogonal transforming means and the quantizing means, and the secondary transform value output by the quantizing means at that time and the unprocessed image are decoded. The secondary conversion value output from the encoding means is combined or added, and the result is passed through the encoding means to obtain the updated tertiary conversion value, which is stored in the storage means.
Image update control means;

According to the second aspect of the invention, blocks of N × N pixels are sequentially extracted from the image information, and each block is subjected to a two-dimensional orthogonal transform process to obtain N × N from each block.
Orthogonal transformation means for obtaining each of the first-order transformation values; Quantization means for quantizing the first-order transformation values output from the orthogonal transformation means, and obtaining quantized second-order transformation values from each of the first-order transformation values;
Encoding means for processing the secondary conversion value output from the quantizing means to obtain a tertiary conversion value obtained by encoding the secondary conversion value; storage means for storing the tertiary conversion value output by the encoding means;
Each tertiary conversion value stored in the storage means is read out,
Decoding means for inversely converting to the secondary conversion value; Dequantization means for inversely converting the secondary conversion value output by the decoding means to the primary conversion value; Primary output by the inverse quantization means An inverse orthogonal transform means for processing the transformed value every N × N to reproduce the image information of N × N pixels; an image editing means for processing the image information reproduced by the inverse orthogonal transform means as necessary; and When updating the image on the storage means with the image processed by the image editing means, the processed image or the processed image is applied to at least a pixel area in which there is a difference between the processed image and the unprocessed image. The difference between the processed image and the unprocessed image is passed through the orthogonal transforming means, and the primary transform value output by the orthogonal transforming means at that time and the primary transform output by the inverse quantizing means for the unprocessed image. The value and is combined or added, An image update control means is provided for obtaining the updated third-order conversion value through the quantizing means and the encoding means and storing it in the storage means.

[0010]

Before describing the present invention, a basic circuit for encoding and storing image information, decoding and reproducing image information will be described with reference to FIG. The image data is stored in the code storage unit 22.
When encoding and compressing to save in 0, the image data
The data is compressed by the encoding unit 210 and then stored in the code storage unit 220. When reproducing the information stored in the code storage unit 220, the decoding unit 230 expands the code read from the code storage unit 220,
Reproduce the image before compression. The encoding unit 210 and the decoding unit 230 are composed of only general components of the ADCT encoding system and are conventionally known, but the operation thereof will be briefly described.

The image information is in a two-dimensional bitmap format, and is composed of a collection of data indicating 8-bit gradation levels of each pixel. The block reading unit 211 of the encoding unit 210 outputs the image data as 8 × as shown in FIG.
Information is output for each block by dividing it into blocks of 8 pixels. A DCT (discrete cosine transform) unit 212 orthogonally transforms the block information of 8 × 8 pixels output by the block reading unit 211. The content of this conversion process is defined by the following equation.

[0012]

[Equation 1]

That is, the gradation level X _ij at each position (i, j) of 8 × 8 pixels is processed and Y _uv is output as the first conversion value. As shown in FIG. 4, 8 × 8 first conversion values Y _uv are generated for each block. The first conversion value Y _uv shows the spatial frequency distribution of the input data, and in FIG. 4, the first conversion value Y ₀₀ shows the average value of the gradation levels in the block, and the vicinity thereof. Y ₀₁ , Y _{10 and the} like represent low frequency components of gradation change, and Y _uv increases as the values of u and v increase.
Indicates a high frequency component. This conversion is a pre-process for increasing the compression rate in the subsequent encoding.

The first converted value Y _uv output by the DCT unit 212
Are respectively quantized by the next quantization unit 213 and converted into the second conversion value Z _uv . In the quantization unit 213, the quantization step size at the time of quantization is independent at each position (u, v), and the quantization step information is stored in the quantization matrix storage unit 250 in advance. ing.

An example of the quantization step information stored in the quantization matrix storage unit 250 is shown in FIG. Since human vision has low sensitivity to high-frequency components of an image, as shown in FIG. 5, low-frequency quantization steps are made small and finely quantized, and high-frequency quantization steps are made large and coarsely quantized. By doing so, the quantization error is set to be inconspicuous to human vision without increasing the amount of information. The quantization matrix storage unit 250 is commonly used by the encoding unit 210 and the decoding unit 230.

The second transform value Z _uv quantized by the quantizer 213 is input to the Huffman encoder 214 and encoded into the third transform value CODE. That is, a code having a short bit length is assigned to a value having a high frequency of occurrence, and a code having a long bit length is assigned to a value having a low frequency of occurrence, thereby significantly reducing the number of bits of the code as a whole image. It

Image information C stored in the code storage unit 220
The ODE is the Huffman decoding unit 2 of the decoding unit 230.
31 and is restored to the second conversion value Z _uv . Further, the restored second transform value Z _uv is dequantized by the dequantizer 232 and restored to the first transform value Y _uv . The dequantization unit 232 refers to the quantization step information stored in the quantization matrix storage unit 250 at the time of dequantization,
The quantization step information according to the position (u, v) of the conversion value Z _uv is used. The restored first conversion value Y _uv is then inverse D
It is input to the CT unit 233 and restored to image information for each 8 × 8 pixel. The inverse DCT unit 233 has the DCT unit 212.
The opposite conversion process is executed. Block writing unit 23
4 outputs the restored image data to the image memory 240 for every 8 × 8 pixels.

As shown in FIG. 2, the image data X _ij is an 8-bit gradation value, and the first conversion value Y in the encoding process is used.
_{The uv} and the second conversion value Z _uv have an accuracy of 11 bits. Therefore, when performing compression processing (encoding), DC
A conversion error occurs depending on the number of bits in the T unit 212 and the quantization unit 213, and an error corresponding to the number of bits occurs in the dequantization unit 232 and the inverse DCT unit 233 when the decompression process (decoding) is performed. This error is not so large, and there is no particular problem in the case of read-only image information, for example. However, when the operation of reading out and decoding the encoded image, editing the decoded image, and re-encoding and storing the edited image is repeated many times, the encoding / decoding is accompanied. The rounding error is accumulated, and a relatively large error occurs to deteriorate the image quality.

However, in the first aspect of the invention, the storage means (220) is formed by the image processed by the image editing means.
When updating the above image, for the pixel area where there is at least a difference between the processed image and the unprocessed image, the processed image or the difference between the processed image and the unprocessed image is calculated. It is passed through the orthogonal transformation means (212) and the quantization means (213), and the secondary transformation value (Z _uv ) output by the quantization means at that time.
And the secondary conversion value (Z _uv : information before editing) output from the decoding means (231) with respect to the unprocessed image, and the result is passed to the encoding means (214). Since the updated third-order transform value (CODE) is obtained and stored in the storage means (220), orthogonal transform (discrete cosine transform), inverse orthogonal transform,
Only information changed by editing on the image is quantized and dequantized, and no error occurs in information that is not edited. In other words, the error occurs only once, and the error does not accumulate each time the image is updated. Therefore, even when it is necessary to repeatedly edit and register (store) the image, the deterioration of the image quality is small. ..

According to the second aspect of the invention, when the image on the storage means (220) is updated by the image processed by the image editing means, the processed image and the unprocessed image are displayed. At least for pixel areas that differ
The processed image or the difference between the processed image and the unprocessed image is passed through the orthogonal transformation means (212), and the primary transformation value (Y _uv ) output by the orthogonal transformation means at that time and the unprocessed image. And the primary conversion value (Y _uv : before editing) output by the inverse quantization means (232) are combined or added, and the result is quantized by the quantization means.
(213) and the encoding means (214), the updated third-order conversion value (CODE) is obtained and stored in the storage means (220). Therefore, orthogonal transformation and inverse orthogonal transformation are performed. Only the information that has been changed by the editing on the image is changed, and the error that does not undergo the editing does not occur again due to the orthogonal transformation and the inverse orthogonal transformation. That is, a slight error occurs due to the quantization and the inverse quantization every update, but the error occurs only once in the orthogonal transform and the inverse orthogonal transform, and a large error does not accumulate in each update. Therefore, even when it is necessary to repeatedly edit the image many times, the image quality is less deteriorated.

The reference numerals in the above parentheses indicate the corresponding constituent elements in FIG. 2 and the corresponding elements in the embodiments described later.

[0022]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT FIG. 1 shows the configuration of one type of image filing system for carrying out the present invention. Referring to FIG. 1, this system includes an image scanner 10 and a television monitor 2.
0, printer 30, optical disk 40, keyboard 50,
A system controller 60, a compression / decompression device 70, and an image memory 240 are provided. When inputting a document image, the image information is read by the image scanner 10 and written in the image memory 240. The edited image is
It is output to the television monitor 20 and the printer 30. When saving an image, the image information in the image memory 240 is
After being encoded and compressed by the compression / expansion device 70, it is written on the optical disc 40. The image information stored on the optical disc 40 is read out from the image memory 240 if necessary.
Can be written on. In that case, the optical disc 4
The encoded and compressed information on 0 is passed through the compression / expansion device 70 to restore the original image information. Various edits can be added to the image information on the image memory 240 by an input operation from the keyboard 50.

The concrete construction of the compression / expansion device 70 is shown in FIG.
Shown in. The basic algorithm of compression and decompression in the compression / decompression device 70 is the same as that of the conventional example shown in FIG. 2, but new components are added to enable a special operation. Note that the constituent elements denoted by the same reference numerals as those in FIG. 2 indicate the same constituent elements as those in FIG. Descriptions of parts that are not changed will be omitted. In the encoding unit 210B, an adder 310 is inserted between the output of the quantizing unit 213 and the Huffman encoding unit 214, and the output of the image memory 240 and the encoding unit 210B.
A subtractor 320 is inserted between the input and the input. In the decoding unit 230B, the Huffman decoding unit 2
The switch SW1 is interposed between the output of the decoding unit 230B and the input of the inverse quantizer 232, and the image memory 300 for temporary storage is interposed between the output of the decoding unit 230B and the editing image memory 240. Has been inserted. The image memory 30
The output of 0 can be connected to the input terminal of the subtractor 320 via the newly provided switch SW2.
The switches SW1 and SW2 are the system controller 6
ON / OFF is controlled by 0.

When the switches SW1 and SW2 are set to the state shown in FIG. 7, the operation of the compression / expansion device 70 is substantially the same as that of the device shown in FIG. In this state, for example, as shown in FIG. 6, when image editing and registration are repeatedly executed, the image compression process and the image expansion process are repeated, so that the errors associated therewith are accumulated and the image quality deteriorates. The compression / expansion device 70 has a function of preventing such deterioration of image quality. I will explain it.

To read the image information registered on the optical disc 40, the switch SW1 is set to the state shown in FIG.
The read compression coded information is decoded according to the same decoding algorithm as that of the apparatus of FIG.
Write to. The image information in the image memory 300 is also written in the image memory 240 for editing. Then, after editing as necessary, the edited image is recorded on the optical disc 40.
When registering in, the state of the switches SW1 and SW2 is switched, and the output of the Huffman decoding unit 231 is added to the adder 310.
, And the output of the temporary storage image memory 300 is connected to the subtractor 320.

In that state, the edited image information is read from the editing image memory 240, at the same time, the unedited image information is read from the temporary storage image memory 300, and substantially simultaneously with that, the image information before editing 2 The next conversion value Z _uv is output from the Huffman decoding unit 231. In this case, only the difference between the edited image information output by the subtractor 320 and the unedited image information is input to the block reading unit 211 of the encoding unit 210B, and 1
The next conversion value Y _uv and the second conversion value Z _uv are obtained. Then, a second transformation value Z _uv about the difference output from the quantization unit 213, and the second transformation value Z _uv related to the image before editing Huffman decoding unit 231 outputs are added by the adder 310, the addition result Is input to the Huffman encoding unit 214 and re-encoded, and the third-order conversion value CODE is given to the optical disc 4
Written to zero.

Therefore, in this compression operation mode, the output of the subtractor 320 is 0 in the image region which is not edited, and the quadratic conversion value Z related to the difference output from the quantizer 213 is output.
_uv becomes 0, and the secondary conversion value Z _uv related to the image before editing output by the Huffman decoding unit 231 is added as it is to the adder 31.
0 and the Huffman encoding unit 214, and the third-order conversion value CO
Since the data is encoded into DE, new error generated by the DCT unit 212 and the quantization unit 213 is not accumulated in the image to be re-registered in the image area that is not edited. For the image portion whose contents have been changed by editing, the DCT unit 212 calculates a valid primary conversion value Y _uv , and the quantizing unit 213 calculates a valid secondary conversion value Z _uv . After being added to the secondary conversion value Z _{uv of the} image, it is re-encoded by the Huffman encoding unit 214. Therefore, even if the image editing operation is repeated and the image information is expanded and compressed repeatedly, the image is hardly deteriorated.

FIG. 9 shows an outline of the processing of the system controller 60. This will be described with reference to FIG. In the edit mode selection in step 11, the original input mode is changed to (keyboard
If specified, go to steps 12 to 15,
The image scanner 10 is controlled to read the original image, and the image information is written in the editing memory 240. When a new creation mode is designated, the process proceeds to steps 16 and 16 to clear the contents of the image memory 240. When the image update mode is specified, steps 12 and 13 are executed.
And through 14 to 17. In this case, the optical disc 4
0, the image information registered in 0 is read, the decoding unit 230B performs the decoding, and the decoded image information is stored in the editing image memory 2 via the temporary storage image memory 300.
Write to 40.

In any case, the process proceeds to the edit process in step 18. In this editing process, writing of figures, characters, etc. at arbitrary pixel positions, deletion of image areas, copying, moving,
Enlargement / reduction, rotation, and inversion are possible. When the editing process is completed, the process proceeds to step 20 through step 19. When the keyboard is instructed to register the edit data, the process proceeds from step 20 to step 21. When the previously registered image is updated through step 17, the process proceeds to step 22 and the compression mode A is selected, and when new image information is created through step 15 or 16, step 23 is executed. Then, the compression mode B is selected, and in any case, in the next step 24, the compression of the image data is executed and the compressed image data is written on the optical disc 40.

Here, the compression mode B is a mode in which the switch is set as shown in FIG. 7 and all the image information in the image memory 240 is compression-coded as it is, and the compression mode A is the switch. a de - by switching SW1 and SW2, mode for encoding the result of adding the second transformation value Z _uv image before editing and the secondary conversion value Z _uv against differential of the edited image and before editing.

Next, another embodiment will be described. In this embodiment, the modified compression / expansion device 70B shown in FIG.
Is equipped with. The other structure is the same as that of the above embodiment. Referring to FIG. 8, the adder 310B has the DCT unit 2
12 and the input of the quantization unit 213, and the output of the inverse quantization unit 232 and the inverse DCT unit 233.
The switch SW3 is inserted between the input of the adder 310B and the input of the switch SW3, and the output of the inverse quantizer 232 can be connected to the input of the adder 310B. Further, similarly to the embodiment of FIG. 7, a temporary storage memory 300, a subtractor 320 and a switch SW4 are provided. The switches SW3 and SW4 are controlled by the system controller 60 as in the case of FIG.

After reading an image from the optical disc 40 for editing, decoding and writing the image in the memory 240, and performing editing, when re-registering the edited image in the optical disc 40, the states of the switches SW3 and SW4 are switched. , The output of the inverse quantizer 232 is connected to the input of the adder 310B,
The output of the temporary storage image memory 300 is connected to the subtractor 320.

In that state, the edited image information is read from the editing image memory 240, at the same time, the unedited image information is read from the temporary storage image memory 300, and substantially at the same time, the image information before editing 1 is read. The next transform value Y _uv is output from the inverse quantization unit 232. in this case,
Only the difference between the edited image information and the unedited image information output by the subtractor 320 is input to the block reading unit 211 of the encoding unit 210B, and the primary conversion value Y _uv is obtained for it. Then, the first-order conversion value Y _uv related to the difference output by the DCT unit 212 and the inverse quantization unit 23.
2 is added by the adder 310B with the primary conversion value Y _uv related to the image before editing, and the addition result is the quantization unit 213.
After being converted into the secondary conversion value Z _uv by the Huffman coding unit 2
It is input to the optical disc 14, re-encoded, and written again on the optical disc 40 as the third-order conversion value CODE.

Therefore, in this compression operation mode, the output of the subtractor 320 is 0 in the image area which is not edited and D
Primary conversion value Y relating to the difference output by the CT unit 212
_uv becomes 0, the primary conversion value Y _uv related to the image before editing output from the inverse quantization unit 232 passes through the adder 310, is quantized by the quantization unit 213, and passes through the Huffman encoding unit 214 to the third order. Since it is encoded into the conversion value CODE, a new error generated by the DCT unit 212 is not accumulated in the image to be re-registered in the image area that is not edited. For modified image portion of the content by the editing, effective primary conversion value Y _uv in the DCT unit 212 is calculated, after being added to the primary conversion value Y _uv previous image editing, the quantization unit It is converted into a secondary conversion value in 213 and re-encoded in the Huffman encoding unit 214. Therefore, even if the image editing operation is repeated and the image information is expanded and compressed repeatedly, the image is hardly deteriorated.

In the above embodiment, when registering image information updated by editing,
The difference between the gradation values of the image before and after the editing is input to the block reading unit 211 to obtain a new primary conversion value (and secondary conversion value). And the image area that is not changed are previously identified, and the image data of only the changed image area is input to the block reading unit 211, and the primary conversion value (or the secondary conversion value) generated thereby is input. (Value) and the primary conversion value (or the secondary conversion value) relating to the image area that does not change may be changed so as to be combined regionally. In that case, the subtractor 320 is replaced with an area separation circuit for extracting the modified image area, the adder 310B (or 310) is replaced with an area composition circuit, and the unchanged image area is the image before editing. The first-order transformed value (or second-order transformed value) of the image is input to the quantization unit (or Huffman coding unit), and the newly-generated first-order transformed value (or 2
It is necessary to change the circuit configuration so that the next conversion value) is input to the quantization unit (or Huffman encoding unit).

[0036]

As described above, in the first aspect of the invention, when the already registered image is read and edited and the edited image is registered, the difference between the images before and after editing (each pixel is The primary conversion value and the secondary conversion value are obtained only for the gradation difference or the changed area in the image), and the result obtained by combining or adding the secondary conversion value and the secondary conversion value for the image before the change is obtained. Since the third-order conversion value is obtained through the encoding means, it is possible to minimize the deterioration of image quality due to editing.

According to the second aspect of the invention, when the already registered image is read and edited and the edited image is registered, the difference between the images before and after the editing (difference in gradation of each pixel or The primary conversion value is obtained only for the changed area in the image), and the result of combining or adding the primary conversion value and the primary conversion value for the image before the change is passed through the quantizing means to obtain a new secondary conversion value. Since the value is obtained and the secondary conversion value is passed through the encoding means to obtain the tertiary conversion value, it is possible to reduce the deterioration of the image quality due to editing.

Comparing the first invention and the second invention, the image quality of the first invention is better than that of the second invention in the area where there is no change in the image, and the change in the image is made. In areas where there is such a problem, the second invention is superior in image quality to the first invention.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of an image editing system according to an embodiment.

FIG. 2 is a block diagram showing a conventional circuit configuration for processing compression and expansion of image information.

FIG. 3 is a plan view showing division of blocks with respect to a pixel array of an image.

FIG. 4 is a plan view showing a spatial frequency characteristic of each element of the primary conversion value Y _uv .

FIG. 5 is a plan view showing a matrix of quantization step information associated with each element of the primary conversion value Y _uv .

FIG. 6 is a plan view showing an example of an image changed by editing.

7 is a block diagram showing a configuration of a compression / expansion device 70 of FIG.

FIG. 8 is a block diagram showing a configuration of a modification compression / expansion device.

9 is a flowchart showing the operation of the system controller 60 shown in FIG.

[Explanation of symbols]

10: Image Scanner 20: Television Monitor 3
0: printer 40: optical disk 50: keyboard 60: system controller (image update control means) 7
0: Compression / decompression device 210, 210B, 210C: Encoding unit 211: Block reading unit 212: DCT unit (orthogonal transform means) 213: Quantization unit (quantization means) 214: Huffman encoding unit (encoding means) 220: Code storage unit (storage unit) 230, 230B, 230C: Decoding unit 231: Huffman decoding unit (decoding unit) 232: Inverse quantization unit (inverse quantization unit) 233: Inverse DCT unit (inverse orthogonal transform) Means) 234: Block writing unit 240: Image memory 250: Quantization matrix storage unit 300: Temporary storage image memory 310: Adder 320: Subtractor SW1, SW2, SW3, SW4: Switch

Claims (2)

[Claims] 1. An orthogonal transform means for sequentially extracting blocks of N × N pixels from image information and subjecting each block to a two-dimensional orthogonal transform process to obtain N × N primary transform values from each block. Quantization means for quantizing the primary transformation value output from the orthogonal transformation means to obtain a quantized secondary transformation value from each primary transformation value;
Encoding means for processing the next conversion value to obtain a third conversion value obtained by encoding the second conversion value; storage means for storing the third conversion value output by the encoding means; each stored in the storage means Decoding means for reading a third-order conversion value and inversely converting it to the second-order conversion value; Dequantization means for inversely converting the second-order conversion value output by the decoding means to the first-order conversion value; The primary conversion values output from the quantizing means are processed every N × N and N
Inverse orthogonal transformation means for reproducing image information of × N pixels; image editing means for processing the image information reproduced by the inverse orthogonal conversion means as necessary; and the storage means by the image processed by the image editing means When updating the above image, regarding the pixel area in which there is at least a difference between the processed image and the unprocessed image, the difference between the processed image or the processed image and the unprocessed image is orthogonalized. The secondary conversion value output by the quantizing means at that time is combined with the secondary conversion value output by the decoding means with respect to the image before processing through the converting means and the quantizing means, and the result is obtained. An image editing apparatus comprising: an image update control means for obtaining an updated third-order conversion value through the encoding means and storing it in the storage means. 2. An orthogonal transform means for sequentially extracting blocks of N × N pixels from image information and subjecting each block to a two-dimensional orthogonal transform process to obtain N × N primary transform values from each block. Quantization means for quantizing the primary transformation value output from the orthogonal transformation means to obtain a quantized secondary transformation value from each primary transformation value;
Encoding means for processing the next conversion value to obtain a third conversion value obtained by encoding the second conversion value; storage means for storing the third conversion value output by the encoding means; each stored in the storage means Decoding means for reading a third-order conversion value and inversely converting it to the second-order conversion value; Dequantization means for inversely converting the second-order conversion value output by the decoding means to the first-order conversion value; The primary conversion values output from the quantizing means are processed every N × N and N
Inverse orthogonal transformation means for reproducing image information of × N pixels; image editing means for processing the image information reproduced by the inverse orthogonal conversion means as necessary; and the storage means by the image processed by the image editing means When updating the above image, regarding the pixel area in which there is at least a difference between the processed image and the unprocessed image, the difference between the processed image or the processed image and the unprocessed image is orthogonalized. 1 which is passed through the transforming means and then output by the orthogonal transforming means
The next transform value and the primary transform value output from the inverse quantization means for the image before processing are combined or added, and the result is updated by passing through the quantization means and the encoding means.
An image editing apparatus comprising: an image update control means for obtaining a next conversion value and storing it in the storage means.