JPH03247166A - Picture data compression processing method - Google Patents

Abstract

PURPOSE:To simplify the arithmetic processing and to quicken the arithmetic processing time by adding a pseudo picture element (picture data) by a difference between a processing unit and a fraction when a fraction of a picture element number takes place to cause the state of not causing the fraction and applying data compression processing. CONSTITUTION:An ID terminal 25 connects to a radio active ray picture information recording and reading device 10, in which information such as the name of a patient, sex, date of birth of a patient 16 written in an ID card 26 is read. Figure A shows the case that number of picture elements I arranged in the main scanning direction satisfies equation 1, two dummy picture elements are added to each main scanning and picture data S11, S21,... possessed by final picture elements S11, S21,... of each main scanning are copied as they are to the dummy picture elements. Figure B indicates the case that number of picture elements I arranged in the main scanning direction satisfies equation 2 and one dummy picture element is added to a signal on each main scanning and similarly to the case with the Figure A, picture data S11, S21,... of a picture element located to the left of each photoelectric conversion section is copied as it is to the dummy picture element.

Description

DETAILED DESCRIPTION OF THE INVENTION (Field of Industrial Application) The present invention relates to an image data compression processing method for performing data compression processing on image data obtained by main scanning and sub-scanning an image. .

(Prior Art) In various fields, images are stored and retrieved and observed as needed.

For example, in medical institutions such as hospitals, many medical images are used for medical treatment or research. Most of these medical images are X-ray transmission images, but recently, 07 images and MR images have also been increasingly used.

By the way, it is necessary to keep such medical images in order to know changes in the patient's disease, and there are cases where the law requires that they be kept for a specified period of time. The number will increase day by day.

Traditionally, these medical images were stored in hard copy form, so securing storage space, management work, and
The search work was a huge burden on each hospital.

However, in recent years, images such as medical images have been recorded (filed) in a searchable manner on recording media in the form of image data.
So-called image filing devices are being used. If medical images are recorded on a recording medium using this image filing device, space and labor savings will be realized in image storage, and image retrieval operations will be facilitated and speeded up.

Image filing devices are configured to record image data on, for example, optical disks, which have a huge recording capacity, but even image data of an image requires a considerable recording capacity. , which is usually recorded in the form of compressed image data.

Various methods have been proposed for data compression processing, and among these, there is a method called so-called interpolation coding. This method extracts a large number of pixels constituting an image, for example every other one, to form main data, and for the remaining pixels, an interpolated value interpolated using the main data, and an actual value of that pixel. This is a method in which interpolated data is formed from the difference with image data, and these main data and interpolated data are compressed and then recorded.

In addition, in this image filing device, search data for specifying the image corresponding to each image is input together with image data representing the image itself, and a database is constructed based on the search data. It is carried out based on.

Here, in order to obtain image data representing the original image, the main data before compression processing is restored by performing decompression processing on the compressed main data, which corresponds to the inverse operation of the compression processing, and Regarding interpolation data, the original data is restored by performing decompression processing corresponding to the inverse operation of the compression processing on the compressed interpolation data and using the above main data, and by combining it with the above restored main data. The image data is restored without representing the original image.

(Problem to be Solved by the Invention) In the above-mentioned interpolation encoding processing method, for example, when adopting the average value of image data (main data) of pixels corresponding to main data on both sides as the above-mentioned interpolation value, the maximum value of the image If a pixel at the edge corresponds to interpolated data, a problem arises in that it is not possible to obtain the interpolated value corresponding to the pixel. In this case, it is necessary to use another calculation method to obtain the interpolated value for the edge. occurs, and the calculation process becomes complicated.

In view of the above circumstances, the present invention provides that when image data is compressed by employing a data compression processing method that uses a plurality of pixels as a processing unit like the interpolation encoding processing described above, the same applies to the edges of an image. It is an object of the present invention to provide an image data compression processing method that can perform data compression processing using an algorithm.

(Means for Solving the Problems) The image data compression processing method of the present invention includes a large number of image data each corresponding to a large number of pixels constituting the image obtained by main scanning and sub-scanning on the image. In the image data compression processing method, the image data compression processing method performs data compression processing using a plurality of pixels lined up in the main scanning direction and/or the sub-scanning direction as a processing unit, wherein when the data compression processing is performed, When a fractional number of pixels less than the processing unit occurs in the sub-scanning direction, pseudo pixels are added to the edges of the image in the main-scanning direction and/or the sub-scanning direction by the difference between the processing unit and the fractional number. The present invention is characterized in that the data compression process is performed by adding pseudo pixels having image data.

Here, if a data compression processing method is adopted in which multiple pixels lined up in the main scanning direction are used as a processing unit and data compression is performed for each main scanning, the above-mentioned fraction is only considered in the main scanning direction, and pixels lined up in the sub-scanning direction are When a data compression processing method is adopted in which data compression is performed for each pixel column arranged in the sub-scanning direction using a plurality of pixels as a processing unit, the above-mentioned number is considered only in the sub-scanning direction, and as in the embodiment described later, the data compression processing method is If a data compression processing method is adopted in which data compression processing is performed using each block in which a plurality of pixels are lined up in both the main scanning direction and the sub-scanning direction as a processing unit, the above-mentioned fraction will be calculated for both the main scanning direction and the sub-scanning direction. be considered. However, when considering the fraction in both the main scanning direction and the sub-scanning direction, it is not necessary that the number of pixels arranged in the main scanning direction and the number of pixels arranged in the sub-scanning direction in each block are the same. , it is also not necessary that the fractions occurring in the main scanning direction and the fractions occurring in the sub-scanning direction be the same.

(Function) In the image data compression processing method of the present invention, when a fraction occurs, pseudo pixels (image data) are added by the difference between the processing unit and the fraction to make a state in which no fraction occurs. Since data compression processing is performed, data compression processing can also be performed on the edges of the image using the same algorithm, making it possible to simplify calculation processing and speed up calculation processing time.

(Example) Hereinafter, an example of the present invention will be described with reference to the drawings.

FIG. 1 is a schematic configuration diagram showing an example of an image reading/filing/reproduction system employing an example of the image data compression processing method of the present invention.

The image filing device 50 includes a system control device 51 and an optical disk device 5 that records data on an optical disk 67 and reads data recorded on the optical disk.
2, and a console 61 consisting of a keyboard 61A and a display unit 61B such as a CRT display. Further, this image filing device 50 includes:
An image processing device 30 is connected. The image processing device 3
0 is a device that inputs image data S1 from a radiographic image information recording/reading device 10, which is an example of an image data supply source, performs predetermined image processing on the data S1, and outputs it to the image output device 70.

The radiation image information recording/reading device 1O is, for example,
No. 1-2911134, No. 61-94035, etc., in which a stimulable phosphor sheet 11 is placed in a circulation path 1.
By irradiating radiation 15 emitted from the radiation source 14 onto the stimulable phosphor sheet ll, which is circulated along the stimulable phosphor sheet ll and stopped at a position facing the imaging table 13,
Transmission radiation images of a subject (patient) 1B are stored and recorded in 1. The stimulable phosphor sheet 11 on which the radiation image has been recorded in this way is main-scanned in the image reading section by a laser beam 18 emitted from a laser light source 17 and deflected by a light deflector 19. Sub-scanning is performed by moving in a direction substantially perpendicular to the direction, and thereby the sheet 11 is scanned two-dimensionally. In this way, the sea) 11 was irradiated with the laser beam 18 as excitation light.
Stimulated luminescence light, which carries radiation image information, is emitted from the
This stimulated luminescent light passes through a light guide 20 and is photoelectrically detected by a photodetector 21 such as a photomultiplier.

The analog output of the photodetector 21 is amplified, A/D converted, and output from the radiation image information recording/reading device IO as digital image data S1 carrying a radiation image of the subject 16. Stimulable phosphor sheet 1 after image reading has been completed
1 is then sent to the erasing unit 22, where it is irradiated with erasing light and reproduced to a state in which radiation image information can be recorded again.

In addition, an ID terminal 25 is connected to the radiation image information recording/reading device IO, and information such as the patient's name, gender, date of birth, etc. written in the ID card 26 of the patient 1B (hereinafter referred to as the patient's Information) is read, and various conditions related to radiography, such as image number, date of imaging, region to be imaged, size of imaging, reading sensitivity, and other information (hereinafter referred to as imaging information) are input. The patient information S2 and imaging information S3 are transferred to the image processing device 30 together with the image data S1. Here, the patient information S2, the imaging information S3, and other incidental information are used as search data, and a database for image search is constructed from these search data.

The image processing device 30 can perform, for example, 20 or more types of gradation processing or 10 or more types of frequency processing on the digital image data S1. All of these image processing conditions are tabulated, and the optimum conditions are automatically selected according to the photographing conditions set at the ID terminal 25 described above. Image data Sl' subjected to image processing under optimal conditions in the image processing device 30 is transferred to the image output device 7o.

This image output device 70 is comprised of, for example, a CRT display device for image display, and a visible image based on the image data 81' is displayed on its screen.

The visible image displayed on the CRT screen is used for diagnosis of the patient 16. Note that the image output device 70 may be a CRT display device for image display or a laser printer device or the like.

Next, recording (filing) of radiation images in the image filing device 50 will be explained. A system control device 51 of this image filing device 50 is composed of a known computer system, and includes a CPU (central processing unit) 53.
, memory 54, interface 55.5B, magnetic disk unit 59, control unit 57 that controls this,
It is comprised of a bus 58 that connects each of the above sections, and a floppy disk unit 60. Incidentally, the floppy disk unit 60 is also controlled by the control unit 57. The aforementioned keyboard 61A and display unit 61B are connected to the aforementioned CPU 53, and the aforementioned interface 55 is connected to the interface 3 of the image processing device 30.
1 is connected. The optical disk device 52 also includes an interface 62 connected to the interface 56 of the system control device 51, and an optical disk control unit 63.
and an optical disk unit 64.

The aforementioned patient information S2. The photographic information 83 and the like are transferred from the image processing device 30 to the system control device 51, and are sequentially recorded on a magnetic disk 85 driven by a magnetic disk unit 59 to construct a database. The patient information S2, photographic information 83, etc. are also transferred to the optical disk device 52, and are recorded and accumulated on an optical disk 67 driven by an optical disk unit 64, together with image data S5 transferred together from the image processing device 30. This image data S5 is compressed image data obtained by performing data compression processing in the image processing device 3a on the image data S1 in a state before performing the above image processing. The image processing device 30 also outputs image processing conditions S when performing image processing on the image data S1 to obtain image data Sl' to be image processed.
4 is also output and recorded on the optical disc 67.

Here, a data compression processing method for the image data S1 in the image processing device 30 will be explained.

FIG. 2 is a diagram schematically representing each pixel of the read image. In addition, here, for the sake of simplicity, the symbol S attached to the figure
11 (1-1, 2,..., 1;j-1,・2.・
..., J) represents each pixel and also represents the image data S1 corresponding to each pixel.

Each line consisting of pixel rows arranged in the horizontal direction of the figure is the first
This corresponds to each main scan by the laser beam 18 by the optical deflector in the figure, and the vertical direction in the figure corresponds to the conveyance direction (sub-scanning direction) of the sheet 11.

Here, the image data S1 is obtained by sampling at half the sampling interval required for the image in both the main scanning direction and the sub-scanning direction.

Here, first, the number of pixels 1 arranged in the main scanning direction is r-4n
・・・・・・(1) I-4n+1
・・・・・・(2) I=4n+2
・・・・・・(3)1-4n13
(4) However, depending on which integer n is, a dummy pixel (image data 81') is added to the end in the main scanning direction, and the pixels are similarly arranged in the sub-scanning direction. The number of pixels J is J-4n
・・・・・・(5) J-4n+1
・・・・・・(61J-4n+2 ・・
...(7) J=4n+3 ...
...Dummy pixels (image data 81') are also added to the end in the sub-scanning direction depending on which one of (8) is selected.

3A to 3D are diagrams showing an example of a method of adding dummy image data 81' according to the number of pixels arranged in the main scanning direction.

Figure 3A shows the case where the number of pixels arranged in the main scanning direction, 1, satisfies the above formula (1), and two dummy pixels are added for each main scanning, and these dummy pixels are Image data S II+ 521+ possessed by the final pixel SII+ 821+ of scanning
・is copied as is.

FIG. 3B shows a case where the number of pixels arranged in the main scanning direction, 1, satisfies the above ('2J formula), one dummy pixel is added for each main scanning, and these dummy pixels are As in the case of the figure, image data Sl of each pixel on the left
l+ S21+ . . . is copied as is.

FIG. 3C shows a case where the number I of pixels arranged in the main scanning direction satisfies the above formula (3), and no dummy pixels (image data) are added.

In addition, in FIG. 3C, the number of pixels lined up in the main scanning direction is 1 (4).
), and similarly three dummy pixels are added for each main scan.

In this way, the number of pixels I lined up in the main scanning direction is as shown in (1) above.
In any of the cases (4) to (4), the number of pixels is adjusted so that 4m+2 (m is an integer) pixels are lined up in the horizontal direction of FIG.

Also, in the sub-scanning direction, the number J of pixels lined up in the sub-scanning direction is the same as in the above-mentioned main scanning direction.
), if the formula is satisfied, 1 is added after each last main scanning line.
Dummy pixels for columns, two columns, and three columns are added, and if the above equation (7) is satisfied, no dummy pixels are added.

As described above, the number I of pixels arranged in the main scanning direction.

The number of pixels J arranged in the sub-scanning direction is (1) to (4), respectively.
), and after dummy pixels are added depending on which of formulas (5) to (8) is satisfied, the image data S1 is sampled as necessary for the image in both the main scanning direction and the sub-scanning direction, as described above. Since it was sampled at half the interval, the second
An average value is determined for each block consisting of a total of four pixels arranged in rows and columns of two pixels each, and new image data S2 corresponding to pixels having four times the area on the image is determined.

FIG. 4 is a diagram schematically representing each pixel of an image to which dummy pixels are added as described above and averaged every four pixels. For simplicity, as in FIG. 2 above, the symbols X II+a lI+b1. Let C1j represent each pixel and also represent the image data S2 corresponding to each pixel.

Here, odd numbered lines (line 2, line 4゜...
), each pixel x, j (1-1, 2, . . . , p; j-1, 2, .
..., q) constitute the main data. As mentioned above, by adding (or not adding) dummy pixels in the main scanning direction, the first pixel (X rl (j-1, 2, ..., q)) of the odd-numbered line By extracting it as main data, the final pixel (X 1e
(j-1, 2°..., q)) is also always the main data.

Also, by adding (or not adding) dummy pixels in the sub-scanning direction, the final line is always an odd-numbered line, and the main data Xalx,
2. ......, XQ, will be taken out.

In addition, each of the remaining pixels except for the main data Xl, a+1°b1□
Interpolated data is constructed by C11, and the following processing is performed on this interpolated data.

First, the main data X ++ (1, j-1, 2, ...
), each data a ,, b ++, C
++ Interpolated value (expected value) of (1, j = L2.”””)
all' g 1) 11' + C1l' o, j
-i.

2,...) is obtained based on the following formula.

a,,# −(XB+x+,+ya,)/2
...(9) bx - (X+1+X+++, 1)
/2 -(10)C1''-(X+1+X 5
)+l10X 1++, ++ x ++4. ++r
) /4 - (11) Here, since dummy pixels are added as above, the above (9) to (11) can be seen even on the image terminal.
There is no need to perform any other calculations.

Next, these interpolated values a++' + b++' + C
++' (1+j-1, 2,...) and the actual image data all+ b,..., C+(1, j-1,
2,...), the difference image data Δa11+ Δb-", ΔC++(1, j-1
, 2...) are required.

Δa 1- a 1+ a ++ -(1
2) Δb+1-b+1 bII...
(13)ΔCz-CIHC11'...
(14) These differential image data Δall+ Δb+
1. ΔC(1, j4.2...) is converted into a Huffman code according to a Huffman code table, an example of which is shown in Table 1.

The Huffman code table shown in Table 1 is composed of short codes for values close to zero. This is the main data x ++ (1
, j-1,2,--) based on the above ■), (10
).

Interpolated value aII + 1) 1 determined by formula (11)
1' 1 C' (1,j-1,2,...)
and actual image data a, 1. bII, C+1(1,
j-1, 2, . . . ) are often approximate, so by finding the difference and converting it into a Huffman code, it is possible to further reduce the amount of data.

In this way, the Huffman encoded differential image data Δa11+Δbll+ΔC+1(1
, j-1, 2, . . . ) constitute an interpolated data string.

The table also shows the above main data X ++ (1, j-1, 2,...
), the following (15
) image data corresponding to the immediately previous pixel X74.
and the image data of that pixel X41. The differential image data ΔX +, 1++ (1,
j−1, 2, ·””’) is obtained.

ΔX61. +, ■X +, ,, -x,...(1
5) This difference image data Δx1. Ya1 (1,j-1,2
,...) are also Huffman encoded. This is because there is often a fairly strong correlation between adjacent pixels on an image, and therefore the difference image data Δx1. calculated by equation (15). ．． . 1 is often close to zero, so Huffman encoding reduces the amount of data. In this way, the main data X ++ (1, j-1, 2
...), the main data X at the beginning of each line
, and the second and subsequent main data xb ++1(1+j−L+
For L......), the difference image data ΔX +, ++1 (1, j-1, 2,
A main data string consisting of -=J is generated.

As described above, the data is divided into main data and interpolated data and compressed, and compressed image data S5 consisting of the compressed main data and interpolated data is recorded on the optical disc 67.

FIG. 5 is a diagram schematically showing the recording format of the optical disc 67. As shown in FIG. With reference to this figure, recording of the compressed image data S5, patient information S2, photographic information 53, etc. obtained as described above on the optical disk 67 will be explained in detail.

In the figure, one scale on the vertical axis indicates one track on the optical disc.
One scale on the horizontal axis indicates one sector.

The compressed image data S5 is recorded one image at a time in the image data recording area 80 set sufficiently wide on the optical disc 67 in the arrangement shown in FIG. 3. Before and after the area 81 in which one piece of compressed image data S5 is recorded, a header 81A for recording patient information S2, imaging information S3, etc. corresponding to the compressed image data S5, and an image processing device 3 are provided.
Blocks 81B and 81C are provided for recording image processing conditions S4 at 0.

When compressed image data S5 for one pixel is recorded in the image data recording area 80 of the optical disc 67 as described above,
An image directory 83 (83A,
83B, 83C...) are recorded.

This image directory 83 basically contains the start address of the header 1ilA of the recorded compressed image data S5,
The sector length of the compressed image data S5 and characteristic information regarding the compressed image data S5 are recorded.

In addition to the areas 80 and 82 mentioned above, the optical disc 67 has
Replacement directories 89A, 89B, 8 for replacing the recorded contents of the image directory 83 with the changed contents when the recorded contents of the image directory 83 are changed.
9C... and an area 85 for forming a directory corresponding to new search data, for example, when new search data is recorded. In addition, the first track of the optical disc 67 includes a block 86 for recording the serial number of each disc and the identification code of sides A and B, and a block 86 for recording when the optical disc has reached a state (fixed amount) in which it is no longer possible to record. Along with the block 87 shown, a number of directory entry blocks 88A, 88B, 88C, . . . are provided. 1st directory entry block 88A
indicates that a group of image directories 83A, 83B, 83C, . . . is formed, and the start address and sector length of the image directory group formed in area 82 are recorded. Second directory entry block 88B
is the replacement directory group (89A, 89B, 89C...
) are recorded, and the third and subsequent directory entry blocks 88C... are provided with space to record the start address and sector length of each directory group to be formed in the future. There is.

As described above, the compressed image data S5 and the patient information S2 accompanying this compressed image data S5 are stored on the optical disc B7.
．． Shooting information S3. Image processing conditions S4 and the like are sequentially recorded for each image. Since the compressed image data S5 is data after data compression, the number of images that can be recorded on the optical disc 67 can be increased compared to the case where the data is recorded without data compression.For example, the number of images that can be recorded on the optical disc 67 can be increased. 10
Approximately 0.00 images can be recorded. On the other hand, the magnetic disk drive 5 has a smaller storage capacity than the optical disk 67, but only a database consisting of search data such as patient information S2 and photographic information 83 is recorded therein, so a database of about 1 million images, for example, can be recorded. It is possible to accumulate.

Next, image search and re-output of reproduced images will be explained.

The operator operates the keyboard 81A while observing the display unit 61B of the console 81.
Enter the desired search key. In principle, all information among patient information S2 and imaging information S3 can be used as search keys that can be input from the keyboard 81A. Based on the database built on the magnetic disk B5, the system control device 51
One or more images corresponding to the input search key are searched. It is displayed as a list on the display unit 61B. For example, when a patient name in the patient information S2 is input as a search key, the display device 61B displays an image list showing the image numbers of all images related to the designated patient, patient information S2 other than the name, and imaging information S3. Is displayed.

The operator looks at this displayed image list and selects a desired image. When such a selection is made, the system control device 51 drives the optical disk device 52 to read the reserved image from the optical disk B7. When reading this image, the first directory entry block 8gA serves as a pointer to give an instruction to read the image directory group (area 82), and the image directories 83A, 83B, 83C, . . . are read.

One image directory 83 in which the reserved image number is recorded becomes a pointer, one header 81A indicated by the image directory 83 is specified, and the header 81A is designated.
1A and the recorded contents of compressed image data S5, blocks IIIB, and 81C corresponding thereto are read out.

The compressed image data S5 read out as described above,
Patient information S2 and imaging information S3 recorded in the header 81A, and data S4 indicating image processing conditions recorded in blocks 81B and 81C are stored in the system control device 5.
1 to the image processing device 30. Image processing device 3
0, the main data of the transferred compressed image data S5 is subjected to the inverse calculation of the data compression process (formula (15)) for the main data described above, that is, after being restored based on the Huffman encoded data, I, Ill -X, ten Δx 1. l+1
- Data expansion is performed by performing the calculation according to equation (18), and the main data before compression processing is restored.

Next, based on the main data, the interpolated value A II + bII + C1 is calculated according to the above-mentioned formulas (9) to (11).
1'(1+j"1+2+...) and after restoring it based on Huffman encoded interpolation data, the inverse operation of the above formulas (12) to (14), that is, the formula % formula % ( 17) The interpolated data is restored by performing the calculations according to (18) and (19).By combining the main data and interpolated data restored in this way, the original image data S2
is played.

The image processing device 30 then performs image processing such as gradation processing and frequency processing on the image data S2 according to the image processing conditions indicated by the data S4, and then sends the image data S2' after the image processing to the image output device 70. . The image output device 70 displays the image data S after image processing on the CRT screen.
A visible image based on 2' is displayed.

In the above embodiment, the main data is constructed by extracting every other odd numbered line in FIG. 4. However, for example, main data may be extracted every other line including even numbered lines. You may do so. In this case, it is necessary to add dummy pixels only in the main scanning direction, and there is no need to add dummy pixels in the sub-scanning direction. In this way, the present invention may require adding dummy pixels in both the main scanning direction and the sub-scanning direction, but the present invention is not limited to this, and the present invention can be applied depending on the data compression processing method. The present invention also includes cases where dummy pixels are added only in the scanning direction or only in the sub-scanning direction.

In addition, although the above embodiment describes an interpolation encoding processing method, the image data compression processing method of the present invention is not limited to the interpolation encoding processing method. This method can be widely used when employing a data compression processing method in which a plurality of pixels lined up in both directions) are used as a processing unit.

Further, in the above embodiment, a case has been described in which a medical radiation image is filed, but the present invention is useful when recording medical images other than radiation images, such as CT images, MR images, etc. It can be widely applied when recording.

(Effects of the Invention) As explained in detail above, the image data compression processing method of the present invention is capable of processing data whose processing unit is a plurality of pixels arranged in a predetermined direction (main scanning direction, sub-scanning direction, or both directions). When compressing image data using a compression method, if the data compression process produces a fractional number of pixels in the predetermined direction that is less than the processing unit, the difference between the processing unit and the fraction is Since data compression processing is performed by adding pseudo pixels corresponding to the difference, data compression processing can be performed using the same algorithm up to the edges of the image, simplifying calculation processing and reducing calculation time. It is possible to increase the speed.

[Brief explanation of drawings]

Fig. 1 is a schematic configuration diagram showing an example of an image reading/filing/reproducing system that employs an example of the image data compression processing method of the present invention. Fig. 2 is a schematic diagram showing each pixel of a read image. Figures 3A to 3D are diagrams depicting an example of a method for adding dummy image data Sl' according to the number of pixels lined up in the main scanning direction. FIG. 5, which is a diagram schematically representing each pixel of an image averaged every four pixels, is a diagram showing an outline of the recording format of an optical disc. 10... Radiographic image information recording/reading device 30... Image processing device 50... Image filing device 51... System control device 52... Optical disk device 59... Magnetic disk unit 60... Floppy Disk unit 64... Optical disk unit 85... Magnetic disk 6B... Floppy disk 67... Optical disk 70... Image output device 81... Image data 83 recorded on the optical disk...
・Image directory Sl...Image data S2...
Patient information S3...Photography information S4...Image processing conditions S5...Compressed image data Figure n

Claims (1)

[Scope of Claims] A large number of image data corresponding to a large number of pixels constituting the image obtained by main scanning and sub-scanning on the image are provided in the main scanning direction and/or the sub-scanning direction. In an image data compression processing method that performs data compression processing using a plurality of pixels arranged in a row as a processing unit, when the data compression processing is performed, a fraction of pixels less than the processing unit is generated in the main scanning direction and/or the sub-scanning direction. occurs, adding pseudo pixels having pseudo image data corresponding to the difference between the processing unit and the fraction to the ends of the image in the main scanning direction and/or the sub-scanning direction. An image data compression processing method, characterized in that the data compression processing is performed.