JP2001167265A - Medium recording image processing program, image processing apparatus, and image processing method - Google Patents

Abstract

(57) [Summary] [Problem] Even when printing is executed as a result of trial and error, assuming that a desired result is obtained, the degree of sharpness enhancement may be different from the expected level. . SOLUTION: In the case where calculation is performed using pixel data within a predetermined range with respect to a target pixel in image processing, a change in resolution also affects the result of image processing. When an instruction to execute predetermined image processing and an instruction for image size are given to the image file 15a
It is determined whether or not the resolution needs to be increased or decreased. If the resolution needs to be increased or decreased, the degree of enhancement of the image processing is adjusted, and the image processing and the resolution are changed based on the adjusted degree of enhancement.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[0001] 1. Field of the Invention [0002] The present invention relates to a medium recording an image processing program, an image processing apparatus, and an image processing method.

[0002]

2. Description of the Related Art In recent years, image data photographed by a digital still camera or the like has been increasingly used by computers. Previously, digital still cameras had lower resolutions,
When printing, I often increased the resolution. That is, when image data at the time of photographing is equivalent to 350,000 pixels, but data equivalent to 2 million pixels is required at the time of printing, the resolution is increased. (Reducing the number of pixels means lowering the resolution). In this sense, the number of pixels, the resolution, and the image size are used as substantially equivalent concepts.

[0003] However, today, when the quality of image input devices such as a digital still camera and a scanner is remarkably improved, the resolution of image data is larger than the resolution at the time of printing. For this reason, in many cases, not only the resolution is increased as before, but also the process of reducing the resolution is performed. When outputting an image, such resolution adjustment is essential, but image processing for adjusting image quality by a photo retouching application or the like is often performed. That is,
On the surface, the image quality is adjusted, and the resolution is adjusted at the output stage.

[0004]

Although there are various types of image processing, one of them often uses a mask filter at the time of calculation. For example, in the image processing of sharpness enhancement, the calculation is executed using a 5 × 5 square unsharpness mask centering on the pixel to be processed. Generally, when a user operates a photo retouching application to enhance sharpness, the processing intensity is appropriately adjusted through trial and error. Trial and error are performed while checking on the screen, but at this point, the processing intensity is adjusted while keeping the size of the image.

[0005] As a result of trial and error, when printing is performed on the assumption that a desired result is obtained, sharpness enhancement is often performed together with resolution conversion only at that time. However, in actual printing, the degree of sharpness enhancement may be different from the expected level. The present invention has been made in view of the above problems, and has a medium, an image processing apparatus, and an image processing apparatus that record an image processing program capable of reflecting a result of image processing such as sharpness enhancement to a truly desired degree. The purpose is to provide a method.

[0006]

In order to achieve the above object, the invention according to claim 1 is an image data representing an image as each pixel of a dot matrix, wherein the image data includes a first image size and a second image size. A medium that stores an image processing program that causes a computer to execute image processing on a medium having a size, a function of detecting a change degree of the first image size and the second image size, and a function of detecting the detected image. A function of adjusting the degree of image processing in the first image size to the degree of image processing in the second image size based on the degree of change in size, and a function of adjusting the degree of image processing in the second image size based on the adjusted degree. A function of performing image processing while using image data of pixels surrounding a predetermined range together with each pixel of the image data and a function of realizing a computer. It is constituted to realize the Yuta.

Here, it is assumed that image processing is performed using pixels around a predetermined range around a pixel to be processed. For example, assuming that 5 × 5 pixels are to be processed in the image processing, the ratio of the processing target area of 5 × 5 pixels to the entire image naturally changes in the 200 × 200 pixel image and the 1000 × 1000 pixel image. I do. If the range of affected pixels does not change as the image is enlarged or reduced, the result of image processing naturally changes.

On the other hand, in the invention according to claim 1 configured as described above, when the image processing program is executed by a computer, the degree of change between the first image size and the second image size is detected. And adjusting the degree of image processing in the first image size to the degree of image processing in the second image size based on the detected degree of change in the image size, and based on the adjusted degree. Image processing is performed using image data of pixels around a predetermined range together with each pixel of the image data in the second image size.

That is, the conventional problem is solved by adjusting the degree of image processing based on the degree of change in image size. Various modes can be adopted as a method of adjusting the degree of image processing. According to a second aspect of the present invention, in the medium storing the image processing program according to the first aspect, the intensity of the processing can be changed by the image processing function, and the intensity can be changed by the adjustment function. The configuration is such that the degree of image processing is adjusted.

In the invention according to claim 2 configured as described above, since the intensity of the processing by the image processing function can be changed, the adjusting function changes the intensity in order to adjust the degree of the image processing. . For example, even if the range of the processing target becomes relatively small in the case of a large image, the effect of the size of the image can be canceled by increasing the intensity. Further, as an example of another method for adjusting the degree of image processing, the invention according to claim 3 is a method according to claim 1 or 2, wherein the image processing program according to claim 1 or 2 is stored in a medium on which the image processing program is recorded. With the function, the range to be processed can be changed, and with the adjustment function, the range is changed to adjust the degree of image processing.

In the invention according to claim 3 configured as described above, since the range to be processed by the image processing function can be changed, the adjustment function is used to adjust the degree of image processing. To change. For example, when a large image is obtained, the range of the processing target may be increased, and when a small image is obtained, the effect of the change in the size of the image can be minimized by reducing the range of the processing target. . Further, according to a fourth aspect of the present invention, in the medium storing the image processing program according to any one of the first to third aspects, in the image processing function, the predetermined range centering on a pixel to be processed is provided. The configuration uses a mask filter that is operated using the image data of the pixel.

In the invention according to claim 4 configured as described above, since the mask filter is used in the image processing, the image data of the pixels within the mask size range centering on the pixel to be processed is calculated. Used. To adjust the degree of image processing, it is not always necessary to make adjustments in the image processing. Therefore, claim 5
According to a third aspect of the present invention, in the medium storing the image processing program according to any one of the first to fourth aspects, the image processing function can execute a plurality of image processings, and the adjustment function can execute one image processing. When it is necessary to adjust the above degree in the image processing, the degree of the other image processing is adjusted.

For example, assume that there are image processing for enhancing sharpness and image processing for enhancing contrast.
Depending on the calculation method, the effect of sharpness enhancement may also be obtained in contrast enhancement processing. Therefore, if the sharpness enhancement is made weaker than the original one due to the change in the image size, the effect is the same even if the effect of sharpness enhancement is obtained with the degree of contrast enhancement. For this reason, in the invention according to claim 5 configured as described above, when the image processing function is capable of executing a plurality of image processes, it is necessary to adjust the degree by one image process. The adjustment function adjusts the degree of other image processing.

Further, the image data may have a first image size and a second image size as appropriate, and are not necessarily limited to one situation. Therefore, in the invention according to claim 6, in the medium on which the image processing program according to any one of claims 1 to 5 is recorded, the image data is converted from the first image size to the second image data. The function to convert the image size into the image size is executed. That is, when there is image data of the first image size, and the intensity of image processing suitable for it is obtained, the image size is converted to a second image size, and the second image size is used. In order to execute the image processing, the degree of the image processing at the first image size is adjusted, and the image processing is executed based on the adjusted degree.

Further, the present invention is a medium storing an image processing program for causing a computer to execute image processing on image data representing an image as each pixel in a dot matrix, wherein the first image in the image data is recorded. If you specify the degree of image processing by size,
When outputting the same image data at the second image size, the function of detecting the degree of change between the first image size and the second image size, and A function of adjusting the degree of image processing in the first image size to the degree of image processing in the second image size, and a predetermined function together with each pixel of the image data in the second image size based on the adjusted degree. The computer may be configured to realize the function of performing image processing while using the image data of the pixels around the range.

That is, after specifying the degree of image processing at the first image size in the image data and outputting the image data at the second image size, The degree of change in the image size is detected, and the degree of image processing in the first image size is adjusted to the degree of image processing in the second image size based on the detected degree of change in image size, Based on the adjusted degree, image processing is performed while using image data of pixels around a predetermined range together with each pixel of the image data in the second image size.

Of course, such a recording medium may be a magnetic recording medium, a magneto-optical recording medium, or any recording medium to be developed in the future. Also, the duplication stages of the primary duplicated product, the secondary duplicated product, and the like are equivalent without any question. In addition, as long as the supply method is performed using a communication line, the present invention is not limited to the case where the file server is used as a medium on which the program is recorded.

Further, even if a part is realized by software and a part is realized by hardware, the concept of the present invention is not completely different from that of the present invention. It may be in a form that is appropriately read in accordance with it. As described above, the method of adjusting the degree of image processing based on the degree of change in image size is realized by a substantial computer, and in this sense, the present invention can be applied to a substantial device including such a computer. It is easy to understand. Therefore, the invention according to claims 7 to 12 basically has the same operation. That is, there is no difference that the present invention is effective as a substantial device controlled by a computer. Of course, such an image processing apparatus may be implemented alone, or may be implemented together with another method while being incorporated in a certain device. And can be appropriately changed.

When such an image processing program proceeds with the processing in accordance with such control, it is natural that the invention exists in the procedure at the root thereof, and it can be applied as a method. Easy to understand. Therefore, the invention according to claims 13 to 18 has basically the same operation. In other words, there is no difference that the method is not necessarily limited to a tangible medium or the like and is effective as a method.

[0020]

As described above, according to the first, seventh, and thirteenth aspects of the present invention, the result of image processing is reflected to the extent that it is truly desired regardless of the change in image size. It is possible to provide a medium, an image processing device, and an image processing method that record an image processing program capable of being executed. According to the second, eighth, and fourteenth aspects of the present invention, when the intensity of the image processing can be changed, the degree can be easily adjusted.

Furthermore, claim 3, claim 9, and claim 15
According to the invention, when the processing target range can be changed, the degree can be easily adjusted. further,
According to the fourth, tenth, and sixteenth aspects of the present invention, the present invention can be applied to a case where a mask filter whose processing target range is clearly fixed is used. Furthermore, according to the invention according to claim 5, claim 11, or claim 17, since the degree is adjusted by another image processing, it can be applied even when image processing in which the intensity of image processing cannot be adjusted is applied. Become.

Furthermore, claim 6, claim 12, and claim 1
According to the eighth aspect, when the image size is changed from the first image size to the second image size, it is possible to execute image processing with an appropriate intensity.

[0023]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 shows a schematic hardware configuration of a personal computer (hereinafter, referred to as a computer) on which the image processing program is executed.
Shows schematically the system of the invention.

First, the schematic hardware configuration shown in FIG. 1 will be described. The computer 10 includes a CPU 11 which is a center of arithmetic processing. The CPU 11 is connected to a ROM such as a BIOS via a system bus 12.
13 and RAM 14 are accessible. Also,
A hard disk drive 15 as an external storage device, a floppy (registered trademark) disk drive 16, and a CD-ROM drive 17 are connected to the system bus 12, and an operating system 20, an application 30, and the like stored in the hard disk drive 15 are provided. The data is transferred to the RAM 14 and the CPU 11
M14 is appropriately accessed to execute the software.

The serial I / O 19a has a keyboard 41
And an input device for operation of the mouse 42 and a display 18 for display via a display card (not shown).
Is also connected. Further, serial connection with an external digital camera 43 or the like is possible via a serial communication I / O 19a, and parallel communication with an external printer 50 is possible.
Parallel connection is possible via / O19b.
Although the configuration of the computer 10 has been described in a simplified manner, a personal computer having a general configuration can be employed.

The computer to which the present invention is applied is not limited to a personal computer. This embodiment is a so-called desktop computer, but may be a notebook computer or a mobile computer. It is not necessary to be a general-purpose computer, and the control circuit portion accommodated in the digital camera is
It can be said that the computer including the PU is built-in. Further, similarly, a computer can be built in the printer, and a computer can be built in a video camera, a television, or the like, and the present invention can be applied.

In this example, the programs are stored in the hard disk drive 15, but the recording medium is not limited to this. For example, it may be a floppy disk 16a or a CD-ROM 17a. The programs recorded on these recording media are stored in a floppy disk drive 16 or a CD-ROM drive 17.
And is installed in the hard disk drive 15 by the computer. Then, the data is read into the RAM 14 via the hard disk drive 15 to control the computer. The recording medium is not limited to this, and may be a magneto-optical disk or the like.
It is also possible to use a non-volatile memory such as a flash card as a semiconductor device, and the storage unit of the server becomes a recording medium even when accessing and downloading an external file server via a modem or a communication line. Needless to say.

As shown in FIG. 2, the application 30 implements image processing of an image data file while reading and writing files from and to the hard disk drive 15 via the operating system 20. The file accessed in the image processing is the image file 15a.
, Adjustment table 15b, printer information file 15
c are the main ones, and these are stored in the hard disk drive 15. The image file 15a is photographic image data photographed by the digital camera 43 or the like.
The file corresponds to a file downloaded from an web site or a file copied from various CD-ROMs.

Various methods can be adopted for the management of the image file 15a. As an example, a method of modifying the original data file without changing the original data file and preparing corresponding parameters to be modified (modification parameter) Method) is also available. That is, even when an image is enlarged or reduced and displayed and printed, the original data file is left as it is, and a parameter representing a magnification for enlarging or reducing is created, and the target is displayed or printed. The parameters corresponding to the data file being read are read, and the data is enlarged or reduced according to the read parameters. Of course, not only enlargement and reduction, but also image processing parameters such as sharpness enhancement and contrast enhancement can be used.

The application 30 includes a control module 30a for performing overall control including input / output with the hard disk drive 15, and an image file selection module 30b for selecting the image file 15a.
A print size instruction obtaining module 30c for obtaining a size at the time of printing, and a selected image file 15
a sharpness enhancement processing module 30d for enhancing the sharpness of a, an image processing instruction module 30e for instructing the degree of enhancement, and the degree of enhancement required as the resolution changes are determined with reference to the adjustment table 15b. A degree-of-emphasis adjustment module 30f;
A resolution conversion module 30g for performing resolution conversion.

The image file selection module 30b obtains an instruction to select a plurality of image files 15a recorded on the hard disk drive 15 through a GUI, acquires a list of the image files 15a and displays the list on the display 18. An operation of selecting one of them is obtained from the keyboard 41 or the mouse 42, and the image file 15a to be processed is determined. The print size instruction acquisition module 30c also directly or indirectly acquires the size of an image to be printed using the GUI. In the case of obtaining directly, the size of the image is input using the keyboard 41 or the mouse 42. In the case of obtaining the image indirectly, an appropriate size is selected from several types of paper and several types of arrangement displayed on the display 18. Then, the size to be substantially printed is calculated from the selected sheet or arrangement.

The image file 15a is a data file in which pixels in a dot matrix are arranged, and data corresponding to each pixel exists. On the other hand, the printer 50 prints by attaching a recording material in a dot matrix form, and the dot density of the minimum printable unit is the resolution.
For the sake of convenience, the number of pixels of the image file is also referred to as the resolution in a broad sense. When printing is performed in a predetermined size, the resolution of the printer 50 acquired by the printer information file 15c and the resolution of the image file 15a are determined. It is necessary to enlarge or reduce the image file 15a in relation to the resolution. The resolution conversion module 30g matches the two in the application 30 when the resolutions are different as described above. At the time of printing, this resolution can be matched by the printer driver 20a of the operating system 20.

By the way, in the application 30, sharpness enhancement processing can be performed as image processing, and a predetermined operation is performed on the selected image file 15a so that the sharpness enhancement processing module 30d executes the enhancement processing. I do. As will be described later, the degree of emphasis can be specified in the course of this arithmetic processing. Usually, the degree of emphasis is acquired by a GUI in the image processing instruction module 30e and executed.

Conventionally, the sharpness enhancement module 30d executes the enhancement processing based on the degree of enhancement specified by the image processing instruction module 30e, but the present invention will be described later in detail. Then, the emphasis degree adjustment module 30f adjusts this emphasis degree by referring to the adjustment table 15b while using the above-mentioned resolution conversion degree and the actually designated emphasis degree as a reference. The resolution conversion degree itself is calculated based on the selected image file 15a, the print size instructed to print, and the resolution of the printer information file 15c.

Hereinafter, the flow of processing will be described with reference to the flowchart shown in FIG. First, step 10
At 0, an image file is selected. Referring to an area of the partitioned hard disk drive 15, if there are a plurality of image files 15a, the image files 15a corresponding to the user's selection operation are displayed by displaying them as thumbnails or simply displaying the file names. select. In step 102, the resolution of the selected image file is obtained. This resolution means the number of pixels as described above,
By referring to the header area provided at the head of the physical data file, information as to how many pixels vertically and horizontally the image file 15a is composed of is acquired.

Next, in step 104, an instruction for the degree of enhancement for performing sharpness enhancement is input. The degree of emphasis may be indicated by a numerical value, or an image obtained when the emphasis processing is performed in advance and an image obtained when the opposite processing is performed are displayed side by side, and an operation of selecting one is repeated to reach a desired degree of emphasis. It may be that you let it. In any case, in the present invention, the instruction method is arbitrary and will not be described in detail. When the degree of emphasis is obtained, sharpness emphasis processing is executed with the degree of emphasis at step 106 with the displayed resolution. Here, the sharpness enhancement processing will be described.

The sharpness enhancement process is performed as follows. The luminance Y 'after enhancement with respect to the luminance Y of each pixel before enhancement is calculated as Y' = Y + Enhance.multidot. (Y-Yunsharp) (1). Here, Yunsharp is obtained by performing unsharp mask processing on the image data of each pixel. Here, the unsharp mask processing will be described. 4 to 6 show three unsharp masks 60 (61 to 63) having different sizes. In the unsharp mask 60, the value of “100” at the center is used as the weight of the pixel Y (x, y) to be processed in the matrix image data, and the peripheral pixels are weighted according to the numerical values in the cells of the same mask. It is used for multiplying and integrating. Now, if the unsharp mask 62 shown in FIG. 5 is used,

[0038]

(Equation 1) Integration is performed based on the following arithmetic expression. In equation (2),
“632” is the total value of the weighting coefficients. Of course, in the three unsharp masks 61 to 63 having different sizes, “396”, “632”, and “2516” are used, respectively.
It becomes a value like this. Mij is a weight coefficient described in a cell of the unsharp mask, and Y (x,
y) is image data of each pixel. Note that ij has three unsharp masks 61 to 61 of different vertical and horizontal sizes.
63 is indicated by row and column coordinate values.

The meaning of the sharpness emphasis calculation calculated based on the equation (1) is as follows. Yunsh
Since arp (x, y) is obtained by adding the peripheral pixel to the target pixel with a lower weight, the image data is so-called "unsharp" image data. What has been blunted in this way has the same meaning as that obtained by applying a so-called low-pass filter. Therefore, “Y (x, y) −Yunsharp (x, y)” has the same meaning as the result of subtracting the low-frequency component from all the original components and applying a high-pass filter. Then, the high-frequency component that has passed through the high-pass filter is multiplied by the sharpness enhancement Eenhance to obtain “Y (x,
y)), the high-frequency component is increased in proportion to the sharpness enhancement degree Eenhance, and the edge and the sharpness are enhanced.

On the other hand, the degree of sharpness enhancement varies depending on the size of the unsharp mask. In the case of three unsharp masks 61 to 63 having different numbers of vertical and horizontal cells, the larger the mask, the greater the weight of the target pixel with respect to the neighboring pixels, and the weight is gradually reduced in the distance to the far pixel. You. In other words, the character as a low-pass filter becomes stronger,
This is because it becomes easier to generate a high-frequency component according to the equation (1).

Therefore, if the degree of sharpness enhancement Eenhance is large, an unsharp mask 63 having a large size may be used. If the degree of enhancement Eenhance is small, an unsharp mask 61 having a small size may be used. For the number of pixels, it is sufficient to use the unsized unsharp mask 62. As is clear from the figure, the weight of the unsharp mask 60 is highest at the center, and the numerical value of the weight gradually decreases toward the periphery. The degree of this change is not necessarily fixed, but can be changed as appropriate. Of course, the name does not matter, the size is merely an example, and the number of squares of “11 × 11” may be used. In addition, the number of squares is not necessarily limited to the target area with respect to the center pixel, and may be “6 × 6”. Further, the area is not limited to a square area, and may be an area close to a circle. The degree of sharpness enhancement can be adjusted by changing the shape or the shape of the square.

However, the operation of the equation (2) is based on the unsharp mask 6 adopted for the pixels around the pixel to be processed.
Since the multiplication operation and the addition operation are required for the number of squares of 0, and the amount of processing becomes large, this is reduced. When an unsharp mask 60 of an appropriate size is selected, it is not always necessary to calculate all the cells. FIG.
In the “7 × 7” unsharp mask 62 shown in FIG. 7, the weight of the outermost square is “0” or “1”,
For "0", weighted multiplication is meaningless,
It can be said that the weighting of "1" has very little weight as compared with "632" of the total sum of the cells.

In such a situation, the calculation is not performed on all the cells of the “7 × 7” unsharp mask 62, but the inner “5 × 5” unsharp mask 62a surrounded by the double line is used. I do. This unsharp mask 62
“a” omits the outermost periphery of the “7 × 7” unsharp mask 62, and the same applies to “13 × 1” shown in FIG.
The outermost periphery of the 3 "unsharp mask 63 may be omitted. In the case of the unsharp mask 63 of “13 × 13”, it is also possible to omit two squares on the outer peripheral side. In the case of the unsharp mask 62 of “7 × 7”, “48 (= 7 × 7−
1) "pixels, which require multiplication and addition. However, substantially the same operation result “5” is obtained.
In the unsharp mask 62a of “× 5”, “24”
(= 5 × 5-1) ”times, and the amount of calculation is halved. In the case of the unsharp mask 63 of “13 × 13”, “168 (= 13 × 13−1)” times to “120 (= 1
1 × 11-1) ”times.

By the way, the above description has been made with reference to the luminance of each pixel for easy understanding.
It has GB gradation data, and the luminance Y must be calculated based on RGB gradation data. In this embodiment, Y = 0.30R + 0.59G + 0.11B (3) is converted by simple weighted addition of the RGB gradation data to simplify the calculation. From the luminance Y 'after emphasis and the luminance Y before emphasis, if delta = Y-Y' ... (4), R'G'B 'after conversion becomes R' = R + delta G '= G + delta B' = B + delta... (5) In this way, the weighted addition is reduced to 1/3.
A reduction of about 70% is possible. In addition, the color noise was not enhanced in the conversion result, and the image quality was improved. Note that the luminance Y
Is not necessarily required to be strictly weighted as in the equation (3). For example, even a simple average value as in equation (6) does not produce a large error.

Y = (R + G + B) / 3 (6) In order to make it simpler, the luminance Y
Even if only the G component having a large contribution value to is regarded as the luminance Y, a large error does not necessarily occur. If the sharpness enhancement processing is performed as described above, the degree of enhancement depends on the coefficient Eenhance or the size of the unsharp mask 60. However, in the case where sharpness enhancement processing for display is performed in step 106, the “7 × 7” unsharp mask 62 is fixedly used for the unsharp mask 60, and adjustment is performed only with the coefficient Eenhance.

Then, in step 108, it is determined whether or not the displayed image has this degree of emphasis, and the operation is input to branch the processing. In other words, if the user wishes to start over, the user is prompted to specify the degree of emphasis again in step 104, but if the user has performed the desired emphasis, the user is prompted in step 110 to determine whether or not to print. When printing is to be performed, a print size instruction is input in step 112. The print size can be input indirectly by designating the printing paper and the arrangement. FIG. 7 shows a screen display for inputting a print size instruction. The upper part 30h of the window area is an area for selecting the print layout of the image, and the lower left part 30i is an area for selecting an optional print item other than the image data. The lower right part 30j is used as a sheet selection area. The regions 30n and 30p indicated by wavy lines will be described later.

The print arrangement is shown in the upper part 30h, which also indicates the size to be printed with the arrangement. In this example, "4 photos", "album",
The layout is shown while displaying "Seal".
These include information on the relative ratio to the sheet while indicating the arrangement of the image on one sheet. Therefore, when the size of the paper selected in the selection area of the lower right part 30j is determined, the specific size of the image data to be printed can be known from the ratio with the size, and the image is automatically enlarged or reduced based on a predetermined calculation formula. An instruction will be calculated. That is, the selection result of the print arrangement is used as one print size instruction. In this example, in order to print a plurality of image data at the same time, each print arrangement is selected and the enlargement / reduction instruction is acquired indirectly, but the size is designated as printing only one sheet, Alternatively, it may be specified by a more direct method, such as by specifying a scaling ratio.

In the lower right portion 30j, a sheet is selected, but the size of the sheet is also a part of the print size instruction. For example, if four pieces of image data are printed on one sheet, the sizes of the respective pieces of image data naturally change when A4 size paper is selected or when B5 size printing is performed. Further, in the lower left part 30i, it is possible to select whether or not to print “register marks”, “date”, and “title” as optional print items. In this example, the size of printing does not change depending on the presence or absence of optional printing. However, “with border” or “without border” can be selected as an option. In such a case, the print size is also affected, and this is one of the print size instruction inputs.

Based on the screen input as described above, the print size is naturally calculated in accordance with the print layout, paper, and option selection status. Next, at step 114, the enlargement / reduction ratio is calculated. What is needed here is a change in the actual number of pixels. In step 102, the number of pixels of the target image data has been obtained. On the other hand, since the print size has been acquired in step 112, the number of pixels for printing is calculated by referring to the resolution of the printer 50 in the printer information file 15c. For example, the width in inches and the number of dots per inch (72
If 0 dot per inch {dpi}) is obtained, the number of pixels in the width direction is calculated by simply multiplying the two.
Then, it compares the number of pixels of the original image data with the number of pixels of the original image data and calculates an enlargement / reduction ratio indicating whether the image is to be enlarged or reduced.

After calculating the enlargement / reduction ratio in this way,
In step 116, the adjustment table 15b is calculated to adjust the degree of emphasis. After that, if the degree of emphasis is adjusted, resolution conversion and printing sharpness emphasis processing will be performed in step 118. The adjustment principle will be described. 8 to 10 show examples in which the degree of enhancement is adjusted by a coefficient when sharpness enhancement processing is performed after performing resolution conversion.

FIG. 8 shows the change in the size of the image and the relative size of the unsharpness mask with respect to the change. When the image is first reduced as shown in FIG.
The ratio of the size of the unsharpness mask to the size of the image increases. This means that data obtained by applying unsharpness over a wide range is subtracted from the original pixel data, so that sharpness enhancement is more strongly applied than when the resolution is not changed. On the other hand, when the image is first enlarged as shown in FIG. 3B, the ratio of the size of the unsharpness mask becomes small, and it is necessary to subtract data obtained by applying unsharpness over a narrow range from the original pixel data. This means that the degree of sharpness enhancement is reduced. Note that the narrower the pitch, the stronger the degree of emphasis.

That is, the degree of emphasis tends to increase when the image is reduced, and the degree of emphasis tends to decrease when the image is enlarged. Therefore, the degree of emphasis is adjusted to cancel this. FIG.
Indicates the contents of the adjustment table, where the size magnification is 1 if there is no change in resolution, the size magnification is larger than 1 if the resolution is enlarged, and the size magnification is smaller than 1 if the size is reduced. . The size magnification is the horizontal axis of the table, and the vertical axis is the original emphasis degree, which is larger than 1 means emphasis, and smaller than 1 means weaker. When the image is enlarged, the emphasis process becomes weaker. If the image is emphasized, the degree of emphasis is increased. If the degree of emphasis is weakened, the degree of the emphasis is further increased. That is, the degree of emphasis is increased. Conversely, when the image is reduced, the emphasis process becomes stronger. If the image is to be emphasized, the degree of the emphasis is reduced. That is, the degree of emphasis is reduced.

Referring to FIG. 10, after performing resolution conversion in step 130, the degree of size change is obtained in step 132, and in step 134, the specific emphasis degree is adjusted with reference to the adjustment table. That is, the adjusted enhancement degree registered in advance from the two parameters of the size change degree and the enhancement degree is referred to from the adjustment table. If the overall size is increased, the coefficient Eenhance is used to increase the degree of emphasis.
Is increased, and if it is reduced, the coefficient Eenhance is reduced to weaken the degree of emphasis.

Referring to FIG. 9, when the size magnification is 1, the intensity does not change. On the other hand, when the size magnification is increased to 5 times, the intensity of 1.5 times is emphasized and adjusted to 1.8 times, and the intensity of 0.5 times is emphasized and adjusted to 0.2 times. I have. Conversely, when the size magnification is reduced to 0.2 times, the intensity of 1.5 times is adjusted to be weakened to 1.2 times, and the intensity of 0.5 times is adjusted to be increased to 0 times. .8 times. These are all performed in step 134 or step 136 after judging whether or not the size is enlarged in step 132.

Then, the coefficient E thus adjusted
In step 136, the sharpness enhancement process is performed based on the enhance. After that, in step 120, color conversion into the color space of the printer 50 is performed, and in step 122, print data is output. When the image file 15a is managed by the modification parameter method as described above, the intensity of the image processing is stored in advance as a parameter. However, for the time being, the determined parameters are also corrected to appropriate values depending on the print size determined at the time of actual printing, so that the image processing parameters determined in a certain size state are useless. Never. Conversely, if such data files are individually prepared while performing optimal image processing for each print size, a large amount of storage area of the hard disk drive 15 is required.

On the other hand, FIGS. 11 to 13 show examples in which the degree of enhancement is adjusted by selecting a mask filter when sharpness enhancement is performed after resolution conversion.
FIG. 11 shows a change in image size and a relative size of the unsharpness mask with respect to the change. When an image is first reduced as shown in FIG. 11A, it is necessary to reduce the size of the mask filter in order to maintain the relative ratio between the original image and the mask filter. And
If a small size is selected, it means that data obtained by applying unsharpness for the same range is subtracted from the original pixel data, so that the degree of sharpness enhancement can be kept unchanged. On the other hand, when the image is first enlarged as shown in FIG. 3B, it is necessary to increase the size of the mask filter in order to maintain the relative ratio between the original image and the mask filter. This means that data obtained by applying unsharpness to the same range is subtracted from the original pixel data, so that the degree of sharpness enhancement can be kept unchanged.

That is, in order to perform the operation including the image data of the surrounding pixels having substantially the same range, a small mask filter must be used if the image is to be reduced, and if the image is to be enlarged, the mask filter must be used. A large mask filter must be used. FIG. 12 shows the contents of the adjustment table. Since the size of the mask filter is fixed to some extent, a certain size of the mask filter is allocated with a certain size magnification. Here, 3 is assumed to be a category with no change in resolution.
~ 0.7 times, more than 3 times as a class of enlargement,
Classify as a class of reduction to be 0.7 times or less, and further classify the degree of emphasis from 1.2 to 0.8,
It is divided into a classification of 1.2 or more and a classification of 0.8 or less.

As a standard state with no change in size, if the degree of emphasis is 1.2 or more, an unsharpness mask of 9 × 9 cells is used, and the degree of emphasis is 1.2, which is a normal degree.
If it is up to 0.8 times, an unsharpness mask of a 7 × 7 cell is used, and if the degree of emphasis is 0.7 or less, 5 × 5
It is assumed that the unsharpness mask of the cell is used. In the case of enlarging an image, the size of the mask filter used is 13 × 13, 9 × 9, and 7 × 7 in order to maintain the relative ratio with the mask size, and is used when the image is reduced. The size of the mask filter is 7 × 7, 5 × 5, 3 × 3.

This will be described with reference to the flowchart shown in FIG. 13. First, at step 140, resolution conversion is performed to enlarge or reduce, and at step 142, processing is performed while detecting the degree of size change at that time. Branch. That is, if the size magnification is 3 times or more, the entire mask size is increased in step 144, and if the size magnification is reduced to 0.7 times or less, the mask size is determined in step 146. To make
In the middle, the mask size is not changed. Then, in step 148, the sharpness enhancement processing is executed using the unsharp mask 60 of the mask size for which the correspondence has been determined as described above.

On the other hand, in recent years, the resolution of a digital still camera or the like is high, and it is often the case that only a part of the original image file 15a can be displayed on the display 18 with the same resolution. In this case, a trial and error of sharpness enhancement is performed on the display 18 based on thumbnails or image data previously reduced at a predetermined magnification. FIG.
4 to 16 show a case where such reduced image data is used. As shown in FIG.
There is a case where the image in 5a is too large to be displayed on the display 18 or a case where it is desired to display a plurality of images. In many cases, the image is reduced and displayed like a thumbnail (hereinafter, referred to as a reduced display). In this case, the ratio between the mask size and the original image when the sharpness enhancement result is displayed in the reduced display is different from that in the reduced display, and it is necessary to match the degree of sharpness enhancement. That is, here, the resolution of the reduced display corresponds to the first image size, and the original resolution corresponds to the second image size. Then, the conversion of the resolution from the first image size to the second image size is not necessarily executed as in the above-described example.

If the image being displayed is reduced display with respect to the image of the original image file 15a, the degree of emphasis is weakened even if the same unsharpness mask is used. If processing is to be applied to the enlarged image, increase the degree of emphasis. Conversely, if the image being displayed is an enlarged display of the image of the original image file 15a, using the same unsharpness mask will enhance the degree of emphasis too much. If you want to process the image, reduce the degree of emphasis.

FIG. 15 shows the contents of the adjustment table 15b showing this correspondence, and the original image file 15a
If the image being displayed is an enlarged display of 400% with respect to the image No., the intensity is reduced from "1.5" to "1.2" or the intensity is changed from "0.5" to "0. 8 ”. If the image being displayed is reduced to 50% of the image of the original image file 15a, the intensity is increased from "1.5" to "1.8" or the intensity is set to "0". .5 "to" 0.2 ".

This will be described with reference to the flowchart shown in FIG. 16. In step 150, the current display magnification is obtained. That is, if the display is enlarged based on the size of the original image, the emphasis coefficient is increased in step 154, and if the display is reduced, step 156 is performed.
To weaken the emphasis coefficient. If the image is displayed at the same size, the emphasis coefficient is not adjusted. However, substantially, the adjustment table 15b may be referred to based on the display magnification and the intensity to obtain the adjusted enhancement coefficient, and the sharpness enhancement processing may be performed in step 158.

Next, FIGS. 17 to 20 show an example in which, when a plurality of image processings are performed, a change which one image processing receives due to enlargement / reduction in size is adjusted by the other image processing. FIG. 18 shows an input screen for instructing sharpness and contrast as image processing. In the screen display, check boxes 30k1 and 30k2 are arranged on the left side of each image processing name, and on the right side of each name are emphasis coefficient input frames 30m1 and 3 indicating numerically the degree of strength.
0 m2 is arranged. For example, if both sharp nest contrasts are to be enhanced, a check mark is placed in both of the left check boxes 30k1 and 30k2, and specific numerical values are entered in the right enhancement coefficient input boxes 30m1 and 30m2. These are displayed on the display 18 and instructed using the keyboard 41 and the mouse 42.

In this example, a change in sharpness intensity caused by a change in size is adjusted by a contrast intensity to offset the change. The contrast level slightly affects the apparent sharpness. Therefore, when it can be said that the degree of fluctuation is too large when the sharpness itself is adjusted, fine adjustment can be performed with a contrast intensity less affected by the fluctuation. In addition, since the sharpness itself can be adjusted as appropriate, it can be said that there is no necessity to adjust with contrast, but for image processing that can not be adjusted freely such as sharpness, it is necessary to offset the fluctuation with other adjustable image processing. There are also benefits.

According to the adjustment table 15b shown in FIG. 19, when the size magnification is in the range of 0.8 to 2 times, the contrast intensity coefficient is 1 and no adjustment is made.
When the value is 2 times or more and when the value is 0.8 times or less, the contrast is adjusted with the intensity. That is, in the case of enlargement, if the sharpness intensity coefficient is 1.2 or more, the contrast intensity coefficient is 1.1, and if the sharpness intensity coefficient is 0.8 or less, the contrast intensity coefficient is 0.9. And In the case of reduction, the contrast intensity coefficient is set to 0.9 when the sharpness intensity coefficient is 1.2 or more, and the contrast intensity coefficient is set to 1.1 when the sharpness intensity coefficient is 0.8 or less. And

FIGS. 20A and 20B show a specific mode of the contrast intensity processing. In the figure, the x-axis represents the input luminance before the modification, and the y-axis represents the output luminance after the modification, and each is represented by a gradation value of 0 to 255. As shown in the drawing, the contrast is emphasized or weakened by changing the luminance, and the degree of emphasis can be adjusted by the degree of inclination of the cubic function or the inclination of the simpler linear function at this time. For the sake of simplicity, an example of a linear function will be described. In the conversion formula of Y ′ = a · Y, when a> 1, the fluctuation width of the converted luminance Y ′ is different from the fluctuation width of the original luminance Y when a> 1. The original luminance Y when the contrast is enhanced and a <1.
Of the luminance Y ′ after the conversion becomes smaller with respect to the fluctuation range of, and the contrast is weakened. Of course, if a cubic function is used, a so-called S-shaped curve is obtained, so that the maximum range that can be expressed without saturation near the maximum and minimum values of luminance can be used.

This will be described with reference to the flowchart shown in FIG. 17. First, when the image file 15a is selected in step 160, the resolution is obtained in step 162, and in step 164, a GUI as shown in FIG. Is used to input an image processing instruction. In this example, the contrast intensity is adjusted. However, if more image processing can be performed, the adjustment item may be appropriately changed according to the selection state of the image processing. This is done at step 166.

On the other hand, in step 168, a print size instruction is input, and in step 170, the enlargement / reduction ratio is calculated in the same manner as in step 114. Since the size magnification is known at this stage, the adjustment degree based on the contrast intensity is acquired in step 172 with reference to the adjustment table 15b shown in FIG. Thereafter, if it is determined in step 174 that the sharpness enhancement processing has been selected by referring to the check box 30k1, in step 176, sharpness enhancement processing is performed at the degree of enhancement specified in the enhancement coefficient input frame 30m1. In the case where the sharpness enhancement processing has been performed, it is necessary to perform the intensity adjustment with the contrast. Therefore, in step 178, the check box 30k2 is checked. In step 180, if the check box 30k2 is not checked, the contrast emphasizing process is skipped, so that the check box 30k2 is checked at least at this point.

In step 180, the presence or absence of the check in the check box 30k2 is determined, and if it is checked, the contrast enhancement processing is executed. In this case, first, in step 182, the contrast intensity is adjusted. This is because the intensity may be adjusted depending on the sharpness enhancement and the size magnification.
Specifically, the adjustment degree obtained in the adjustment table 15b shown in FIG.
The intensity designated by 2 is multiplied to obtain an adjusted designated intensity. Then, in step 184, the contrast is enhanced based on the adjusted instruction intensity. The luminance is used for the operation of contrast enhancement.
A similar operation may be performed on the gradation of each element of GB.

Thereafter, steps 186 and 188
Then, color conversion and print data output are performed in the same manner as in steps 120 and 122. By the way, in general printing, the above-described intensity adjustment may be performed, but further modified examples are also possible. As shown in FIG. 7, a setting area indicated by a wavy line can be provided in a lower portion of the screen display for inputting the print size instruction. Lower right part 3 as paper
Although a paper area is provided in 0j, when poster printing is performed by division printing or the like, the strength can be adjusted from another point in addition to the strength adjustment based on the size of the paper. Buttons are provided in the poster print instruction area 30n provided below the paper area so that A1 and A2 can be selected as paper. It should be noted that only one of paper selection and poster printing size selection is internally selected.

The poster can be generally considered to be viewed from a distance. When viewing from a distance like this, sharpen the image more strongly and the sharper the outline, the better it looks.
Therefore, when A1 or A2 is selected as the poster printing, the intensity adjustment is set to be stronger. On the other hand, small images, such as sticker prints and index prints, may feel squeaky and dirty unless the sharpness is reduced.

After the print size instruction input is received in step 168 and the enlargement / reduction ratio is calculated in step 170, the above adjustment can be made. Before describing the specific adjustment, the option selection area 30p
Will be described. FIG. 21 shows a screen display when the option selection area 30p is arranged and selected. FIG. 7 is a distance input screen for adjusting the intensity of image processing to be optimal according to the distance of the observer. A horizontal slide bar appears on the screen,
This slide bar has a scale 30p1 and a slide 30
p2. On the scale 30p1,
The memory of "~ 0.2", "0.6", "1", "3 ~" is displayed.
It means observation of about cm, observation of about 1 m, observation of 3 m or more. Slider 30p2 is mouse 4
It can be moved left and right by operating with 2, and can be stopped at 4 positions. In the message area 30q below the slide bar, a more intuitive message such as "Currently, the setting is set so that it looks beautiful when it is about 60 cm away" is displayed. Of course, this distance part is a slide 30p
It is changed according to the position of 2. The value when the observer distance is specified in the option selection area 30p can be referred to in the flow described later.

The observer's distance has the following effect on the intensity adjustment of the image processing. The observation of about 60 cm is set as a standard, and if this is selected, the intensity adjustment is as described above. On the other hand, when the observation distance is short, such as observation at around 20 cm, the intensity is adjusted to be weaker so as not to be cracked and dirty. Further, the strength is slightly increased when the distance is small, as observed at about 1 m, and is increased when the distance is increased, as observed at about 3 m.

FIG. 22 shows a part of a flowchart for performing this adjustment. In the flowchart shown in FIG. 17, between steps 170 and 172, adjustment is performed by executing steps 171a and 171b shown in FIG. That is, after calculating the enlargement / reduction ratio in step 170,
Before calculating the adjustment table in step 172, it is determined in step 171a whether or not there is a change in the observer distance, and if there is a change, that is, if other than observation around 60 cm is selected. In step 171b, the values in the adjustment table are corrected.

FIG. 23 shows a specific modification. The left column displays the intensity before correction, and the four columns on the right display the value corrected according to the observer distance. FIG.
As the size magnification changes in the range of 0.2 times to 5 times, the value of the intensity of “0.5 to 1.5” becomes “0.
2 to 1.8 ". FIG. 23 further corrects the value read in this way, and the tendency is to weaken, slightly strengthen, or strengthen as described above. For example, assuming that the value before correction is “1.8” when increasing the strength, the value is corrected to “1.7” when weakening, and “1.8” when slightly increasing.
5 ", and when strengthened, it is corrected to" 1.90 ". On the other hand, as a case of reducing the strength, if the value before correction is “0.2”, the value is corrected to “0.3” when weakening, corrected to “0.15” when slightly increasing, and “0.10” when strengthening. Is corrected. That is, the value approaches “1” when weakening, and “1” when strengthening.
Keep away from

After the values of the adjustment table have been corrected in this way, the adjustment table is referred to in step 172 as described above, and this correction is reflected in the intensity of the subsequent image processing. Here, referring again to the above-described poster printing and index printing, when these are selected as the paper, the direction of the adjustment may be considered to be the same as the case of the observer distance. Of course, the interface for inquiring of the observer can be modified as appropriate, such as not only displaying such a slide bar but also inputting a numerical value such as “distance for viewing printed matter = xx cm”.

As described above, when image processing is performed on image data in which an image is represented as pixels in a dot matrix, a distance for observing an output image is obtained, and the distance is determined in accordance with the distance. By adjusting the degree of image processing described above, even if the image looks clear at a certain display size, the image processing will be excessively emphasized at the actual display size, or conversely, the image processing will look fine without sufficient enhancement. It can be prevented that it disappears.

As described above, when an operation is performed using pixel data within a predetermined range with respect to a pixel to be subjected to image processing, a change in resolution also affects the result of image processing. Therefore, when an instruction to execute predetermined image processing and an instruction for image size are given to the selected image file 15a, it is determined whether or not the resolution needs to be increased or decreased. Adjust the degree of emphasis,
Image processing and resolution change are performed based on the adjusted degree of emphasis.

[Brief description of the drawings]

FIG. 1 is a hardware schematic diagram of a personal computer that executes an image processing program according to an embodiment of the present invention.

FIG. 2 is a system schematic diagram of an image processing program.

FIG. 3 is a main flowchart of an image processing program.

FIG. 4 is a diagram showing data of a small-sized unsharpness mask.

FIG. 5 is a diagram showing data of a medium-sized unsharpness mask.

FIG. 6 is a diagram showing data of a large-size unsharpness mask.

FIG. 7 illustrates a screen display of a print instruction.

FIG. 8 is a diagram illustrating the degree of influence when performing image processing with the same mask size.

FIG. 9 is a diagram showing an adjustment table of the degree of influence.

FIG. 10 is a flowchart for executing resolution conversion and image processing.

FIG. 11 is a diagram illustrating a degree of influence when image processing is performed by changing a mask size.

FIG. 12 is a diagram showing an adjustment table of the degree of influence.

FIG. 13 is a flowchart for executing resolution conversion and image processing.

FIG. 14 is a diagram illustrating the degree of influence of image processing when the display size is changed.

FIG. 15 is a diagram illustrating an adjustment table of the degree of influence.

FIG. 16 is a flowchart for executing image processing in which the degree of influence is adjusted.

FIG. 17 is a flowchart in the case of executing a plurality of image processes.

FIG. 18 is a diagram showing a screen display for instructing a plurality of image processes.

FIG. 19 is a diagram showing an adjustment table of the degree of influence.

FIG. 20 is a diagram illustrating a contrast adjustment mode.

FIG. 21 is a diagram showing an input screen for an observer distance.

FIG. 22 is a diagram showing a part of a flowchart for correcting an adjustment table with an observer distance.

FIG. 23 is a diagram showing values of a table corrected by an observer distance.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 10 ... Computer 11 ... CPU 12 ... System bus 13 ... ROM 14 ... RAM 15 ... Hard disk drive 15a ... Image file 15b ... Adjustment table 15c ... Printer information file 16 ... Floppy disk drive 16a ... Floppy disk 17 ... CD-ROM drive 17a ... CD-ROM 18 ... Display 19a ... I / O for serial communication 19b ... I / O for parallel communication 20 ... Operating system 20a ... Printer driver 30 ... Application 30a ... Control module 30b ... Image file selection module 30c ... Print size instruction acquisition module 30d: sharpness enhancement processing module 30e: image processing instruction module 30f: enhancement degree adjustment module 30g: resolution conversion module 30h Upper part of window area 30i ... Lower left part 30j ... Lower right part 30k1, 30k2 ... Check box 30m1, 30m2 ... Enhancement coefficient input frame 30n ... Poster print instruction area 30p ... Option selection area 30p1 ... Scale 30p2 ... Slider 41 ... Keyboard 42 ... Mouse 43 ... Digital camera 60-63 ... Unsharp mask 50 ... Printer

────────────────────────────────────────────────── ───

[Procedure amendment]

[Submission date] July 3, 2000 (2007.3)

[Procedure amendment 1]

[Document name to be amended] Statement

[Correction target item name] Claim 1

[Correction method] Change

[Correction contents]

[Procedure amendment 2]

[Document name to be amended] Statement

[Correction target item name] Claim 13

[Correction method] Change

[Correction contents]

[Procedure amendment 3]

[Document name to be amended] Statement

[Correction target item name] 0006

[Correction method] Change

[Correction contents]

[0006]

In order to achieve the above object, the invention according to claim 1 is an image data representing an image as each pixel of a dot matrix, wherein the image data includes a first image size and a second image size. A medium having recorded thereon an image processing program for executing image processing on a computer having a size, a change degree function for detecting a change degree of the first image size and the second image size,
An adjusting function of adjusting the degree of image processing in the first image size to the degree of image processing in the second image size based on the detected degree of change in image size; and The computer is configured to realize an image processing function of performing image processing while using image data of pixels around a predetermined range together with each pixel of image data in the second image size.

[Procedure amendment 4]

[Document name to be amended] Statement

[Correction target item name] 0017

[Correction method] Change

[Correction contents]

Of course, such a recording medium may be a magnetic recording medium, a magneto-optical recording medium, or any recording medium to be developed in the future. Also, the duplication stages of the primary duplicated product, the secondary duplicated product, and the like are equivalent without any question.

[Procedure amendment 5]

[Document name to be amended] Statement

[Correction target item name] 0019

[Correction method] Change

[Correction contents]

When such an image processing program proceeds with the processing in accordance with such control, it is natural that the invention exists in the procedure at the root thereof, and it can be applied as a method. Easy to understand. Therefore, the invention according to claims 13 to 18 has basically the same operation. In other words, there is no difference that the method is not necessarily limited to a tangible medium or the like and is effective as a method. Further, it is natural that the present invention is realized as a program itself.

──────────────────────────────────────────────────続 き Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI Theme coat ゛ (Reference) H04N 5/262 G06F 15/66 405 5C076 5/76 355A 5C077 9/68 103 H04N 1/40 101D (72) Inventor Yasushi Hiraoka 2-27, Chuo 2-chome, Matsumoto-shi, Nagano F-term in AI Software Co., Ltd. (reference) 5C052 AA11 AB04 DD02 EE02 EE03 FA02 FA03 FA04 FA06 FA07 FB02 FB05 FC08 FD04 FD07 FD08 FD09 FE04 5C066 AA05 AA11 BA20 CA06 CA21 EC02 ED09 EE04 GA01 HA02 KC02 KC08 KC09 KE02 A075A07 A075

Claims (18)

[Claims] An image processing program for causing a computer to execute image processing on image data representing an image as pixels in a dot matrix and having a first image size and a second image size is recorded. A function of detecting a degree of change in the first image size and the second image size, and a degree of image processing in the first image size based on the detected degree of change in image size. A function of adjusting the degree of image processing in the second image size, and using the image data of surrounding pixels in a predetermined range together with each pixel of the image data in the second image size based on the adjusted degree. A medium storing an image processing program, which causes a computer to realize a function of performing image processing while performing the processing. 2. A medium in which the image processing program according to claim 1 is recorded, wherein the intensity of the processing can be changed by the image processing function, and the intensity of the processing can be changed by the adjusting function. A medium storing an image processing program characterized by adjusting the degree. 3. A medium in which the image processing program according to claim 1 or 2 is recorded,
A medium in which an image processing program is recorded, wherein the range to be processed can be changed in the image processing function, and the degree of image processing is adjusted by changing the range in the adjustment function. 4. A medium on which the image processing program according to claim 1 is recorded, wherein the image processing function includes a step of setting image data of a predetermined range of pixels centered on a pixel to be processed. A medium recording an image processing program, characterized by using a mask filter operated by using a mask filter. 5. A medium in which the image processing program according to claim 1 is recorded, wherein the image processing function can execute a plurality of image processes,
A medium in which an image processing program is recorded, wherein the adjustment function adjusts the degree of another image processing when it is necessary to adjust the degree in one image processing. 6. A medium on which an image processing program according to claim 1 is recorded, wherein said image data is converted from said first image size to said second image size. And a medium for recording an image processing program for executing a function of converting the image. 7. An image processing apparatus for performing image processing on image data representing an image as pixels in a dot matrix and having a first image size and a second image size. A degree-of-change detecting means for detecting a degree of change between the first image size and the second image size, and a degree of image processing at the first image size based on the detected degree of change in image size. Adjusting means for adjusting the degree of image processing in the image size; and image processing using image data of pixels around a predetermined range together with each pixel of the image data in the second image size based on the adjusted degree. An image processing apparatus comprising: 8. The image processing apparatus according to claim 7, wherein the intensity of the processing is changeable in the image processing means, and the degree of the image processing is adjusted by changing the intensity in the adjustment means. An image processing apparatus characterized by the above-mentioned. 9. The image processing apparatus according to claim 7, wherein said image processing means can change a range to be processed, and said adjusting means adjusts said range. An image processing apparatus wherein the degree of image processing is adjusted by changing it. 10. The image processing apparatus according to claim 7, wherein the image processing means includes:
An image processing apparatus characterized by using a mask filter that performs calculation using image data of pixels within a predetermined range around a pixel to be processed. 11. The image processing apparatus according to claim 7, wherein the image processing means can execute a plurality of image processings, and the adjusting means performs one image processing. An image processing apparatus, wherein the degree of another image processing is adjusted when the degree needs to be adjusted. 12. The image processing apparatus according to claim 7, wherein the image data is converted from the first image size to the second image size. And an image processing apparatus. 13. An image processing method for performing image processing on image data representing an image as each pixel in a dot matrix and having a first image size and a second image size. Detecting the degree of change between the first image size and the second image size; and, based on the detected degree of change in the image size, determining the degree of image processing in the first image size in the second image size. Adjusting the image processing to a degree, and performing image processing while using the image data of pixels around a predetermined range together with each pixel of the image data in the second image size based on the adjusted degree. An image processing method comprising: 14. The image processing method according to claim 13, wherein the intensity of the processing can be changed in the image processing step, and the degree of the image processing is adjusted by changing the intensity in the adjusting step. An image processing method comprising: 15. The image processing method according to claim 13, wherein a range to be processed can be changed in the image processing step, and this range is changed in the adjustment step. An image processing method wherein the degree of image processing is adjusted by changing the image processing. 16. The image processing method according to claim 13, wherein in the image processing step, calculation is performed using image data of a predetermined range of pixels centered on a pixel to be processed. An image processing method characterized by using a mask filter for causing the image to be processed. 17. The image processing method according to claim 13, wherein a plurality of image processings can be executed in the image processing step, and one image processing is performed in the adjustment step. An image processing method characterized by adjusting the degree of another image processing when the degree needs to be adjusted. 18. The image processing method according to claim 13, wherein said image data is converted from said first image size to said second image size. An image processing method comprising: