JP4407218B2 - Medium storing image processing program, image processing apparatus, and image processing method - Google Patents

Description

  The present invention relates to a medium on which an image processing program is recorded, an image processing apparatus, and an image processing method.

  In recent years, image data taken with a digital still camera or the like has been frequently used on a computer. Previously, the resolution of digital still cameras was low, and it was more likely to increase the resolution when printing. That is, when the image data at the time of shooting is equivalent to 350,000 pixels, but the data equivalent to 2 million pixels is required at the time of printing, the resolution is increased (in the present application, the number of pixels is unified). In general, it is expressed as increasing the resolution, and reducing the number of pixels is expressed as decreasing the resolution). In this sense, the number of pixels, resolution, and image size are used as almost equivalent concepts.

However, with today's remarkable improvement in the quality of image input devices such as digital still cameras and scanners, the resolution of image data is larger than the resolution at the time of printing. For this reason, not only the resolution is increased as before, but also a process for reducing the resolution is often performed.
When outputting an image, such a resolution adjustment is essential, but image processing for adjusting the image quality by a photo retouching application or the like is often performed. That is, the image quality is adjusted on the surface, and the resolution is adjusted at the output stage.

  There are various types of image processing, and one of them often uses a mask filter at the time of calculation. For example, in sharpness-enhanced image processing, calculation is performed using a 5 × 5 square square unsharpness mask centered on the pixel to be processed. Generally, when sharpness enhancement is performed by a user operating a photo retouching application, the processing intensity is appropriately adjusted through trial and error. Trial and error is performed while checking on the screen, but at this point, the processing intensity is adjusted with the image size unchanged.

As a result of trial and error, when printing is performed on the assumption that a desired result is obtained, sharpness enhancement is often first performed together with resolution conversion at that time. However, when I actually went through printing, the sharpness enhancement level was sometimes different from what I expected.
The present invention has been made in view of the above problems, and a medium, an image processing apparatus, and an image processing on which an image processing program capable of reflecting a result of image processing such as sharpness enhancement to a truly desired level is recorded. The purpose is to provide a method.

  In order to achieve the above object, according to the first aspect of the present invention, image data representing an image as each pixel in the form of a dot matrix and having a first image size and a second image size is imaged by a computer. A medium storing an image processing program for executing processing, based on a change degree detection function for detecting a change degree of the first image size and the second image size, and a change degree of the detected image size An adjustment function for adjusting the degree of image processing in the first image size to the degree of image processing in the second image size, and each pixel of the image data in the second image size based on the adjusted degree And an image processing function for performing image processing while using image data of pixels around a predetermined range.

  Here, it is assumed that image processing is performed using pixels around a predetermined range centering on the pixel to be processed. For example, assuming that 5 × 5 pixels are to be processed in image processing, the ratio of the 5 × 5 pixel processing target area to the entire image naturally changes between 200 × 200 pixel images and 1000 × 1000 pixel images. To do. If the range of affected pixels does not change as the image is enlarged or reduced, the result of the 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. 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 change degree of the image size, and the second image size is adjusted based on the adjusted degree. Image processing is performed using image data of pixels around a predetermined range together with each pixel of image data in the image size.
That is, the conventional problems are 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 for adjusting the degree of image processing. According to a second aspect of the present invention, in the medium on which the image processing program according to the first aspect is recorded, the processing strength can be changed by the image processing function, and the strength is changed by the adjustment function. In this configuration, the degree of image processing is adjusted.
In the invention according to claim 2 configured as described above, since the intensity of processing in the image processing function can be changed, the adjustment function changes this intensity in order to adjust the degree of image processing.
For example, even if the range to be processed becomes relatively small in the case of a large image, the influence of the size of the image can be offset by increasing the intensity.

Furthermore, as an example of another method for adjusting the degree of image processing, the invention according to claim 3 is the above-described image processing on a medium in which the image processing program according to claim 1 or 2 is recorded. In the function, the range to be processed can be changed, and the adjustment function is configured to adjust the degree of image processing by changing this range.
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 changes this range in order to adjust the degree of image processing. .
For example, if the image is a large image, the range of the processing target may be increased, and if the image is a small image, if the range of the processing target is decreased, the influence of the change in the size of the image can be minimized. .

Furthermore, the invention according to claim 4 is a medium in which the image processing program according to any one of claims 1 to 3 is recorded, and the image processing function has a predetermined range centered on a pixel to be processed. The mask filter for calculating the image data of the pixels is used.
In the invention according to claim 4 configured as described above, since the mask filter is used in the image processing, image data of pixels in the mask size range centering on the pixel to be processed is used for the calculation.
In order to adjust the degree of image processing, the image processing does not necessarily have to be adjusted. For this reason, the invention according to claim 5 is a medium on which the image processing program according to any one of claims 1 to 4 is recorded, and the image processing function can execute a plurality of image processes. The adjustment function is configured to adjust the degree of other image processing when the above degree needs to be adjusted in one image processing.
For example, assuming that there are image processing for sharpness enhancement and image processing for contrast enhancement, the sharpness enhancement effect may be obtained in the contrast enhancement processing depending on the calculation method. Therefore, when sharpness enhancement is weaker than the original due to a change in image size, the result 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 can execute a plurality of image processing, the above-mentioned degree needs to be adjusted by one image processing. The adjustment function adjusts the degree of other image processing.

Further, there are cases where the image data has the first image size and the second image size as appropriate, and the present invention is 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 changed from the first image size to the second image size. In this configuration, the function of converting to an image size is executed.
That is, when there is image data of the first image size and the image processing intensity suitable for it is obtained, the image size is converted into the second image size and the second image size is used. In order to execute the image processing, the degree of the image processing with the first image size is adjusted, and the image processing is executed based on the adjusted degree.

  Furthermore, the present invention is a medium in which an image processing program for causing a computer to perform image processing on image data representing an image as each pixel in a dot matrix is recorded, and the image data at the first image size in the image data is recorded. When the degree of image processing is specified, when the same image data is output at the second image size, the function of detecting the degree of change in the first image size and the second image size is detected. A function for 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 the image size, and the second image based on the adjusted degree. A computer has a function to perform image processing using image data of surrounding pixels within a predetermined range together with each pixel of image data in size. That and it can also be configured.

  That is, when the image data is output at the second image size after specifying the degree of image processing at the first image size in the image data, the first image size and the second image size are the same. 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 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.

Of course, such a recording medium may be a magnetic recording medium, a magneto-optical recording medium, or any recording medium that will be developed in the future. In addition, the duplication stages such as the primary duplication product and the secondary duplication product are the same without any question.
Further, even when a part is software and a part is realized by hardware, the idea of the invention is not completely different, and a part is stored on a recording medium and is appropriately changed as necessary. It may be in the form of being read.

  As described above, the technique for adjusting the degree of image processing based on the degree of change in image size is realized in an actual computer, and in that sense, the present invention can be applied to an actual apparatus including such a computer. It is easy to understand. For this reason, also in the invention concerning Claims 7-12, it becomes the same effect | action fundamentally. In other words, there is no difference in that it is effective as a substantial apparatus controlled by a computer. Of course, such an image processing apparatus may be implemented alone, or may be implemented together with other methods in a state of being incorporated in a certain device. And can be changed as appropriate.

  In addition, when such an image processing program proceeds according to such control, it is natural that an invention exists in the procedure at the root, and it can be easily understood that it can be applied as a method. it can. For this reason, also in the invention concerning Claim 13-Claim 18, it becomes the same effect | action fundamentally. In other words, the present invention is not necessarily limited to a tangible medium, and there is no difference that the method is effective.

  Furthermore, it is natural that the present invention is realized as the program itself.

As described above, according to the first, seventh, and thirteenth aspects of the present invention, it is possible to reflect the result of image processing to a desired level regardless of changes in the image size. A medium on which an image processing program is recorded, an image processing apparatus, and an image processing method can be provided.
Further, according to the inventions according to claims 2, 8, and 14, the degree can be easily adjusted when the intensity of the image processing can be changed.
Furthermore, according to the invention concerning Claim 3, Claim 9, Claim 15, when a process target range can be changed, a grade can be adjusted easily.

Further, according to the inventions according to claims 4, 10, and 16, the invention can be applied when using a mask filter whose processing target range is clearly fixed.
Furthermore, according to the inventions according to claims 5, 11, and 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.
Further, according to the inventions according to claims 6, 12, and 18, when the image size is changed from the first image size to the second image size, the image processing is executed with an appropriate intensity. It becomes possible to do.

Hereinafter, embodiments of the present invention will be described 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, and FIG. 2 schematically shows a system of the present invention.
First, the schematic hardware configuration shown in FIG. 1 will be described. The computer 10 includes a CPU 11 serving as the center of arithmetic processing, and the CPU 11 can access a ROM 13 and a RAM 14 such as a BIOS described via a system bus 12. Further, a hard disk drive 15, a flexible disk drive 16, and a CD-ROM drive 17 as external storage devices are connected to the system bus 12, and an operating system 20 and applications 30 stored in the hard disk drive 15 are stored in the RAM 14. The CPU 11 appropriately accesses the ROM 13 and RAM 14 to execute the software.

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

  The computer to which the present invention is applied is not limited to a personal computer. Although this embodiment is a so-called desktop computer, it may be a notebook computer or a mobile computer. Further, the computer does not need to be a general-purpose computer, and it can be said that the computer including the CPU is built in the control circuit portion accommodated in the digital camera. Further, a computer can be built in the printer in the same manner, 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, each type of program is stored in the hard disk drive 15, but the recording medium is not limited to this. For example, it may be a flexible disk 16a or a CD-ROM 17a. Programs recorded on these recording media are read by a computer via the flexible disk drive 16 and the CD-ROM drive 17 and installed in the hard disk drive 15. Then, it 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 even when accessing and downloading an external file server via a modem or a communication line, the storage unit of the server becomes a recording medium. It goes without saying.

  As shown in FIG. 2, the application 30 realizes image processing of an image data file while reading / writing a file from / to the hard disk drive 15 via the operating system 20. Files accessed in the image processing are mainly an image file 15 a, an adjustment table 15 b, and a printer information file 15 c, and these are stored in the hard disk drive 15. The image file 15a corresponds to photographic image data taken with a digital camera 43 or the like, a file downloaded from a web site, or copied from various CD-ROMs.

  Various methods can be employed for managing the image file 15a. As an example, a method (modified parameter method) in which the parameters to be modified are prepared in correspondence with the original data file without modification. Is available. In other words, even when the image is enlarged or reduced and displayed and printed, the original data file is left as it is, and a parameter indicating the magnification to be enlarged or reduced is created and is displayed or displayed. The parameter corresponding to the data file being read out is read out and enlarged or reduced according to the read out parameter. 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 an image file selection module 30b for selecting the image file 15a and a size at the time of printing together with a control module 30a that performs overall control including input / output with the hard disk drive 15. Print size instruction acquisition module 30c, a sharpness enhancement processing module 30d for enhancing the sharpness of the selected image file 15a, an image processing instruction module 30e for instructing the degree of enhancement, and is necessary as the resolution changes. An enhancement degree adjustment module 30f that determines the enhancement degree with reference to the adjustment table 15b, and a resolution conversion module 30g that executes resolution conversion.

  The image file selection module 30b obtains a selection instruction with the GUI for a plurality of image files 15a recorded in the hard disk drive 15, acquires a list of the image files 15a, displays them on the display 18, An operation for selecting these is obtained from the keyboard 41 and the mouse 42, and the image file 15a to be processed is determined.

  The print size instruction acquisition module 30c also acquires the size of an image to be printed directly or indirectly using the GUI. In the case of direct acquisition, the size of the image is input using the keyboard 41 or the mouse 42, but in the case of indirect acquisition, it is appropriate from several types of papers and several types of arrangements displayed on the display 18. From this selected paper and array, the size to be printed is calculated.

  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 performs printing by attaching a recording material in the form of a dot matrix, and the minimum printable dot density is the resolution. For convenience, if the number of pixels of the image file is also called resolution in a broad sense, when printing is performed at a predetermined size, the resolution of the printer 50 acquired by the printer information file 15c and the resolution of the image file 15a. It is necessary to enlarge or reduce the image file 15a relative to the resolution. The resolution conversion module 30g matches both in the application 30 when the resolutions are different in this way. When printing, the resolution can be matched by the printer driver 20a of the operating system 20.

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

  Conventionally, the sharpness enhancement processing module 30d executes the enhancement processing based on the enhancement degree instructed by the image processing instruction module 30e. However, in the present invention, as will be described in detail later, enhancement is performed. The degree adjustment module 30f refers to the adjustment table 15b with reference to the above-described resolution conversion degree and the actually instructed enhancement degree, and adjusts this enhancement degree. The resolution conversion degree itself is calculated based on the selected image file 15a, the print size instructed to be printed, 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, in step 100, an image file is selected. A certain area of the partitioned hard disk drive 15 is referred to. If there are a plurality of image files 15a, they are displayed as thumbnails or simply displayed as file names, and the image file 15a corresponding to the user's selection operation is displayed. select. In step 102, the resolution of the selected image file is acquired. As described above, this resolution means the number of pixels. With reference to the header area provided at the top of the physical data file, information on how many pixels the image file 15a is configured is acquired.

Next, in step 104, an instruction for the degree of enhancement for sharpness enhancement is input. The degree of emphasis may be indicated by a numerical value, or an image that has been pre-enhanced and an image that has been processed in reverse are displayed side by side, and the operation of selecting one is repeated until the desired degree of emphasis is reached. It may be something to let you. In any case, in the present invention, the instruction method is arbitrary and will not be described in detail.
If the degree of emphasis is obtained, sharpness emphasis processing is executed with the degree of emphasis in step 106 with the resolution being displayed. Here, the sharpness enhancement processing will be described.

なる演算式に基づいて積算する。（２）式において、「６３２」とは重み付け係数の合計値であり、むろんサイズの異なる三つのアンシャープマスク６１〜６３においては、それぞれ「３９６」、「６３２」「２５１６」というような値となる。また、Ｍｉｊはアンシャープマスクの升目に記載されている重み係数であり、Ｙ（ｘ，ｙ）は各画素の画像データである。なお、ｉｊについては異なる縦横サイズの三つのアンシャープマスク６１〜６３に対して横列と縦列の座標値で示している。 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
Y ′ = Y + Eenhance (Y−Yunsharp) (1)
Is calculated as Here, Yunsharp is obtained by performing unsharp mask processing on the image data of each pixel. Here, unsharp mask processing will be described. 4 to 6 show three unsharp masks 60 (61 to 63) having different sizes. This unsharp mask 60 uses the value of “100” in the center as the weight of the processing target pixel Y (x, y) in the matrix-like image data, and weights corresponding to the numerical values in the squares of the mask for the peripheral pixels. Used for accumulating. If the unsharp mask 62 shown in FIG.

Is integrated based on the following equation. In the equation (2), “632” is a total value of weighting coefficients, and of course, in the three unsharp masks 61 to 63 having different sizes, values such as “396”, “632”, and “2516” are respectively obtained. Become. Mij is a weighting factor written in the grid of the unsharp mask, and Y (x, y) is image data of each pixel. Note that ij is represented by horizontal and vertical coordinate values for three unsharp masks 61 to 63 having different vertical and horizontal sizes.

  The meaning of the sharpness enhancement calculation calculated based on the equation (1) is as follows. Yunsharp (x, y) is obtained by lowering the weight of the peripheral pixel with respect to the target pixel and adding it, so that it is so-called “unsharp” image data. What is smoothed 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 that obtained by applying the high-pass filter by subtracting the low frequency component from the original all components. Then, when the high frequency component that has passed through the high-pass filter is multiplied by the sharpness enhancement degree Eenhance and added to “Y (x, y)”, the high frequency component is increased in proportion to the sharpness enhancement degree Eenhance. Edges and sharpness are emphasized.

  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 grids, the larger the mask, the greater the weighting of the neighboring pixels of the pixel of interest, and the weighting gradually decreases in the distance to the distant pixels. The This is because, in other words, the character as a low-pass filter becomes stronger and it becomes easier to generate a high-frequency component according to the equation (1).

  Accordingly, if the sharpness enhancement degree Eenhance is large, the large-size unsharp mask 63 may be used, and if the sharpness enhancement degree Eenhance is small, the small-size unsharp mask 61 may be used. If so, an intermediate size unsharp mask 62 may be used.

  As is clear from the drawing, the unsharp mask 60 has the largest weight at the center, and the weight value gradually decreases toward the periphery. This change is not necessarily fixed and can be changed as appropriate. Of course, it does not matter what the name is, and the size is merely illustrative, and the number of cells of “11 × 11” may be used. In addition, the number of cells is not necessarily limited to the center pixel, and may be “6 × 6”, and may be a region close to a circle, not limited to a square region. The degree of sharpness enhancement can be adjusted by the deformation of the mesh and the deformation of the shape.

  However, since the calculation of equation (2) requires multiplication and addition operations for the pixels around the processing target pixel by the number of cells of the unsharp mask 60 to be employed, and the processing amount becomes enormous. This is reduced. When an unsharp mask 60 having an appropriate size is selected, it is not always necessary to calculate all the cells. In the “7 × 7” unsharp mask 62 shown in FIG. 5, the weight of the outermost square is “0” or “1”. For “0”, weighting multiplication is meaningless and “1”. Can be said to have a very small weight when compared with “632”, which is the total sum of the squares.

  From such a situation, the calculation is not performed for all squares of the “7 × 7” unsharp mask 62, but the inner “5 × 5” unsharp mask 62a surrounded by the double line is used. The unsharp mask 62a omits the outermost periphery of the “7 × 7” unsharp mask 62, and the same thing omits the outermost periphery of the “13 × 13” unsharp mask 63 shown in FIG. It may be a thing. In the case of the “13 × 13” unsharp mask 63, it is also possible to omit the outer half of the mask. In the case of the “7 × 7” unsharp mask 62, there are “48 (= 7 × 7-1)” pixels around the pixel to be processed, and this much multiplication and addition is necessary. However, in the “5 × 5” unsharp mask 62a that has substantially the same calculation result, “24 (= 5 × 5-1)” calculations are performed, and the calculation amount is halved. In the case of the “13 × 13” unsharp mask 63, the number decreases from “168 (= 13 × 13-1)” times to “120 (= 11 × 11-1)” times.

By the way, for the sake of easy understanding, description has been made by referring to the luminance of each pixel. Actually, however, each pixel has RGB gradation data, and the luminance Y is based on the RGB gradation data. Must be calculated. In this embodiment, for simplicity of calculation,
Y = 0.30R + 0.59G + 0.11B (3)
As shown in FIG. 4, the conversion is performed by simple weighted addition of RGB gradation data.
From the brightness Y ′ after enhancement and the brightness Y before enhancement,
delta = Y−Y ′ (4)
R′G′B ′ after conversion is
R ′ = R + delta
G ′ = G + delta
B ′ = B + delta (5)
It becomes possible to calculate as follows. In this way, since the weighted addition is 1/3, the entire processing time can be reduced by about 50 to 70%. Also, the conversion result has no color noise enhancement, and the image quality is improved. When obtaining the luminance Y, it is not always necessary to perform strict weighting as in equation (3). For example, even a simple average value as shown in equation (6) does not cause a large error.
Y = (R + G + B) / 3 (6)

For further simplification, even if only the G component having the largest contribution value to the luminance Y in the equation (3) is regarded as the luminance Y, a large error does not necessarily occur.
If 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, when sharpness enhancement processing is performed for display in step 106, the unsharp mask 60 is fixedly used with the “7 × 7” unsharp mask 62 and adjusted only by the coefficient Eenhance.

  In step 108, it is determined whether or not this degree of enhancement is acceptable for the displayed image, and the operation is branched by inputting the operation. That is, when redoing, the degree of emphasis is instructed again at step 104, but when desired emphasis is made, whether to print at step 110 is input. If printing is to be performed, a print size instruction is input at step 112.

  The print size can be input indirectly by specifying the print paper and layout. 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 an image print layout, and the lower left part 30i is an area for selecting an optional print item other than image data. The lower right portion 30j is a paper selection area. The regions 30n and 30p indicated by the wavy lines will be described later.

  The printing arrangement is shown in the upper part 30h, which also shows the size printed with the arrangement. In this example, the layout is shown while displaying “4 photos”, “album”, and “seal” from the left. These include relative ratio information with respect to the sheet while showing the arrangement of the images on one sheet. Accordingly, if the size of the sheet selected in the selection area of the lower right portion 30j is determined, the specific size at which the image data is to be printed can be determined from the ratio to the size, and the enlargement / reduction is automatically performed based on a predetermined calculation formula. An instruction will be calculated. That is, the print layout selection result 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 layout is selected and an enlargement / reduction instruction is indirectly acquired. Alternatively, it may be specified by a more direct method, such as specifying a scaling ratio.

  In the lower right portion 30j, the paper is selected. The size of the paper 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 image data change automatically when the A4 sheet is selected and when the B5 print is performed.

Further, in the lower left portion 30i, it is possible to select whether or not to print “register mark”, “date”, and “title” as optional print items. In this example, the size of printing does not change depending on whether or not optional printing is performed. However, “with border” or “without border” can also be selected as an option. This also affects the print size and becomes one of the print size instruction inputs.
Based on the screen input as described above, the print size is automatically calculated according to the print layout, the paper, and the 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 acquired. On the other hand, since the print size is 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, if the width in inches when printing and the number of dots per inch (720 dot per inch {dpi}) are known, the number of pixels in the width direction is simply calculated by multiplying the two. Then, the enlargement / reduction ratio is calculated by comparing with the number of pixels of the original image data to determine whether to enlarge or reduce.

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

  FIG. 8 shows the change in the size of the image and the relative size of the unsharpness mask. As shown in FIG. 6A, when the image is first reduced, the ratio of the size of the unsharpness mask to the size of the image increases. This means that unsharpened data over a wide range is subtracted from the original pixel data, so that sharpness enhancement is more intense than when the resolution is not changed. On the other hand, as shown in FIG. 5B, when the image is first enlarged, the ratio of the unsharpness mask size is reduced, and the data obtained by applying unsharpness for a narrow range is subtracted from the original pixel data. It means that the degree of sharpness enhancement is weakened. The narrower the pitch, the stronger the degree of emphasis.

  In other words, the degree of emphasis increases when reduced, and the degree of emphasis tends to decrease when enlarged, so the degree of emphasis is adjusted to offset this. FIG. 9 shows the contents of the adjustment table. If there is no change in resolution, the size magnification is 1; if the image is enlarged, the size magnification is greater than 1. If the image is reduced, the size magnification is greater than 1. Get smaller. The size magnification is the horizontal axis of the table, and the vertical axis is the original degree of emphasis. If it is larger than 1, it means emphasis, and if it is smaller than 1, it means a situation where it becomes weaker. When the image is enlarged, the emphasis processing is weakened. Therefore, if the emphasis is emphasized, the degree of emphasis is increased, and if the emphasis is weakened, the degree of further weakening is increased. That is, the degree of emphasis is increased. On the contrary, since the emphasis process becomes stronger when the image is reduced, the degree of emphasis is weakened if the emphasis is emphasized, and the degree of weakening is lowered if the emphasis degree is weakened. That is, the degree of emphasis is lowered.

  Referring to FIG. 10, after performing resolution conversion in step 130, the degree of size change is acquired in step 132, and in step 134, a specific enhancement 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 size is enlarged as a whole, the coefficient Eenhance is increased to increase the degree of enhancement, and if the size is reduced, the coefficient Eenhance is decreased to decrease the degree of enhancement.

Referring to FIG. 9, when the size magnification is 1, there is no change in intensity. On the other hand, when enlarging the size magnification to 5 times, the strength of 1.5 times is emphasized and adjusted to 1.8 times, and the strength of 0.5 times is emphasized and adjusted to 0.2 times. Yes. Conversely, when the size magnification is reduced to 0.2 times, the strength is adjusted to decrease by 1.5 times to 1.2 times, and adjusted to increase by 0.5 times strength to 0. .8 times. All of these are performed at step 134 or 136 after determining whether or not the size is enlarged at step 132.
Based on the coefficient Eenhance adjusted in this way, in step 136, sharpness enhancement processing is performed. After that, color conversion into the color space of the printer 50 is performed in step 120, and then print data is converted in step 122. Output.

As described above, when the image file 15a is managed by the modification parameter method, the intensity of image processing is stored in advance as a parameter. However, since the fixed parameters are corrected to appropriate values according to the print size determined at the time of actual printing, the image processing parameters determined in a certain size state are never wasted. There is nothing. On the other hand, if such data files are prepared individually while performing optimum image processing for each print size, a large amount of storage area of the hard disk drive 15 is required, whereas FIGS. In the example, the sharpness enhancement process is performed after the resolution conversion, and the enhancement degree is adjusted by selecting a mask filter.

  FIG. 11 shows the change in the image size and the relative size of the unsharpness mask. As shown in FIG. 5A, when the image is reduced first, the size of the mask filter needs to be reduced if the relative ratio between the original image and the mask filter is to be maintained. If a small size is selected, it means that unsharpened data for the same range is subtracted from the original pixel data, so that the degree of sharpness enhancement can be prevented from changing. On the other hand, when the image is first enlarged as shown in FIG. 4B, if the relative ratio between the original image and the mask filter is to be maintained, the size of the mask filter needs to be increased, and a larger size is selected. This means that the unsharpened data for the same range is subtracted from the original pixel data, so that the degree of sharpness enhancement can be prevented from changing.

That is, in order to perform calculation including the image data of the surrounding pixels that are substantially in the same range, the mask filter must be used if it is reduced, and the mask filter is also used if it is enlarged. You must use a big one. FIG. 12 shows the contents of the adjustment table. Since the size of the mask filter is fixed to some extent, a mask filter having a predetermined size is assigned by giving a width to the size magnification. Here, it is classified as 3 to 0.7 times as a class with no change in resolution, 3 times or more as a class of enlargement, 0.7 times or less as a class of reduction, and The degree of emphasis is divided into a classification of 1.2 to 0.8, a classification of 1.2 or more, and a classification of 0.8 or less.
As a standard state where the size is not changed, an unsharpness mask of 9 × 9 squares is used if the enhancement degree is 1.2 or more, and 7 if the enhancement degree is 1.2 to 0.8 times the normal degree. An unsharp mask of × 7 square is used, and if the degree of enhancement is 0.7 or less, an unsharp mask of 5 × 5 square is used.

When enlarging an image, the size of the mask filter to be used is 13 × 13, 9 × 9, and 7 × 7, respectively, 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, in step 140, resolution conversion is performed to enlarge or reduce, and in step 142, the process branches while detecting the degree of size change. That is, if the size magnification is enlarged to 3 times or more, the mask size is increased overall in step 144, and if the size magnification is reduced to 0.7 times or less, the mask size is obtained in step 146. If it is in the middle, the mask size is not changed. In step 148, sharpness enhancement processing is executed using the unsharp mask 60 having the mask size thus determined.

On the other hand, in recent years, the resolution of a digital still camera or the like is high, and in many cases, only a part can be displayed on the display 18 with the resolution of the original image file 15a. In this case, trial and error for sharpness enhancement is performed on the display 18 based on thumbnails or image data that has been previously reduced at a predetermined magnification.
14 to 16 show a case where such reduced image data is used.
As shown in FIG. 14, there are cases where the image in the original image file 15a is large and cannot be displayed on the display 18, or there are cases where a plurality of images are desired to be displayed. In FIG. In this case, since the ratio between the mask size and the original image when displaying the sharpness enhancement result in reduced display is different from that in the reduced display, 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, as in the example described above, resolution conversion from the first image size to the second image size is not necessarily executed.

  If the image being displayed is reduced with respect to the image of the original image file 15a, the degree of emphasis is reduced even if the same unsharpness mask is used. Increase the degree of emphasis if processing is to be applied. On the contrary, if the image being displayed is enlarged with respect to the image of the original image file 15a, if the same unsharpness mask is used, the degree of emphasis becomes too strong. If the image is to be processed, the degree of enhancement is lowered.

  FIG. 15 shows the contents of the adjustment table 15b representing this correspondence, and if the image being displayed is enlarged by 400% with respect to the image of the original image file 15a, the intensity is “1”. .5 ”is weakened from“ 1.2 ”, and the strength is increased from“ 0.5 ”to“ 0.8 ”. If the image being displayed is reduced by 50% with respect to the image of the original image file 15a, the intensity is increased from “1.5” to “1.8”, or the intensity is “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 enlarged display is based on the size of the original image, the enhancement coefficient is strengthened in step 154, and if the enlarged display is reduced, the enhancement coefficient is weakened in step 156. If the same magnification is displayed, the enhancement coefficient is not adjusted. However, the sharpness enhancement process may be performed in step 158 by substantially referring to the adjustment table 15b based on the display magnification and the intensity and obtaining an adjusted enhancement coefficient.

  Next, FIG. 17 to FIG. 20 show an example in which, when a plurality of image processes are performed, a variation that one image process undergoes due to size enlargement / reduction is adjusted by the other image process. FIG. 18 shows an input screen for instructing sharpness and contrast intensity as image processing. In the screen display, check boxes 30k1 and 30k2 are arranged on the left side of the names of the respective image processing, and enhancement coefficient input frames 30m1 and 30m2 for indicating the degree of strength numerically are arranged on the right side of each name. For example, if both sharp nest contrasts are emphasized, a check mark is put in both the left check boxes 30k1 and 30k2, and specific numerical values are input in the right enhancement coefficient input frames 30m1 and 30m2. These are displayed on the display 18 and instructed using the keyboard 41 and the mouse 42.

  In this example, sharpness intensity fluctuations caused by size fluctuations are adjusted by contrast intensity to cancel. Contrast strength has a slight effect on visual sharpness. Accordingly, when it can be said that the degree of fluctuation is too large when the sharpness itself is adjusted, a fine adjustment can be made with a contrast intensity that is less affected by the fluctuation. In addition, it can be said that sharpness itself can be adjusted as appropriate, so it can be said that there is no necessity to adjust by contrast, but for image processing that cannot be freely adjusted like sharpness, other adjustable image processing can cancel out the fluctuation. 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 it becomes 8 times or less, the contrast intensity is adjusted. That is, in the case of enlargement, the contrast intensity factor is 1.1 if the sharpness intensity coefficient is 1.2 or more, and the contrast intensity coefficient is 0.9 if the sharpness intensity coefficient is 0.8 or less. And In the case of reduction, if the sharpness intensity coefficient is 1.2 or more, the contrast intensity coefficient is 0.9, and if the sharpness intensity coefficient is 0.8 or less, the contrast intensity coefficient is 1.1. And

FIGS. 20A and 20B show specific modes of contrast intensity processing. In the figure, the x-axis represents input luminance before modification, the y-axis represents output luminance after modification, and all are represented by gradation values of 0-255. As shown in the figure, the brightness is varied to enhance or weaken the contrast, but the degree of enhancement can be adjusted by the degree of inclination of the cubic function or the inclination of the simpler linear function at this time. For simplicity, an example of a linear function
Y '= a · Y
In the conversion equation, the fluctuation width of the converted luminance Y ′ is larger than the fluctuation width of the original luminance Y when a> 1, the contrast is enhanced, and the original luminance when a <1. The fluctuation range of the luminance Y ′ after conversion is smaller than the fluctuation range of Y, 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 being saturated in the vicinity of the maximum value and the minimum value 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 acquired in step 162, and the GUI as shown in FIG. 18 is used in step 164. Input image processing instructions. In this example, the contrast intensity is adjusted. However, if a larger number of image processes can be performed, the adjustment items may be appropriately changed according to the selection status of the image process. This is done in 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, in step 172, the adjustment degree based on the contrast intensity is acquired with reference to the adjustment table 15b shown in FIG.
Thereafter, in step 174, with reference to the check box 30k1, if it is determined that the sharpness enhancement process is selected, the sharpness enhancement process is performed with the enhancement degree instructed in the enhancement coefficient input frame 30m1 in step 176. When sharpness enhancement processing is performed, it is necessary to adjust the intensity with contrast. Therefore, in step 178, the check box 30k2 is checked. In step 180, if the check box 30k2 is not checked, the contrast enhancement process is skipped, so the check box 30k2 is checked at least at this point.

In step 180, the presence / absence of the check in the check box 30k2 is determined in this way, and when it is checked, the contrast enhancement process is executed. In this case, first, in step 182, the contrast intensity is adjusted. This is because the strength may be adjusted by sharpness enhancement and size magnification. Specifically, the adjustment degree obtained by the adjustment table 15b shown in FIG. 19 is multiplied by the intensity indicated in the enhancement coefficient input frame 30m2 in step 164 to obtain the adjusted instruction intensity. In step 184, contrast enhancement is performed based on the adjusted instruction intensity. In contrast enhancement, luminance is used. However, in the case of RGB data, the same calculation may be applied to the gradation of each element of RGB.
Thereafter, in steps 186 and 188, 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 intensity adjustment as described above may be performed, but further modifications are possible. As shown in FIG. 7, it is possible to provide a setting area indicated by a wavy line in the lower part of the screen display for inputting the print size instruction. Although a paper area is provided in the lower right portion 30j as paper, when poster printing is further 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. . A button is provided in the poster printing instruction area 30n provided below the paper area so that A1 and A2 can be selected as paper. Internally, only one of the selection of paper and the size of poster printing is selected.

You can think of the poster as a general observation away. When looking away like this, sharpness is strengthened, and a clearer outline looks better. Accordingly, when A1 or A2 is selected as the poster printing, the intensity adjustment is set to be stronger. On the other hand, in small images such as sticker printing and index printing, it may be felt that the image becomes crisp and dirty unless sharpness is weakened.
After receiving the print size instruction input in step 168 and calculating the enlargement / reduction ratio in step 170, the above adjustment can be made.
Before describing this specific adjustment, the option selection area 30p will be described. FIG. 21 shows a screen display when this option selection area 30p is arranged and selected.

  This figure is a distance input screen for adjusting the image processing intensity to be optimal according to the distance of the observer. A slide bar is displayed in the horizontal direction on the screen, and this slide bar is composed of a scale 30p1 and a slider 30p2. The scale 30p1 displays “˜0.2”, “0.6”, “1”, “3-” memories, each of which is observed around 20 cm, about 60 cm, and about 1 m away. Observation means observation at a distance of 3 m or more. The slider 30p2 can be moved left and right by operating with the mouse 42, and can be stopped at four positions. In the message area 30q below the slide bar, a message that is easier to understand is displayed, such as “Currently, it is set to look beautiful when it is about 60 cm away”. Of course, this distance is changed in accordance with the position of the slider 30p2. In addition, the value when the observer distance is designated in the option selection area 30p can be referred to in a flow described later.

The observer's distance acts on the intensity adjustment of the image processing as follows.
The observation of about 60 cm is standard, and if this is selected, the intensity adjustment is as described above. On the other hand, when the observation distance is short as in the case of observation at around 20 cm, the strength is adjusted to be weak so that it does not become dirty due to crackling. In addition, the intensity is slightly increased when the distance is slightly different as in the observation at around 1 m, and the intensity is increased when the distance is away as in the observation at around 3 m.

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

  FIG. 23 shows a specific modification example. Intensities before correction are displayed in the left column, and values corrected according to the observer distance are displayed in the four columns on the right side. As shown in FIG. 9, the intensity value of “0.5 to 1.5” is in the range of “0.2 to 1.8” as the size magnification changes in the range of 0.2 to 5 times. It is adjusted with. 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, when increasing the strength, if the value before correction is “1.8”, it is corrected to “1.7” when weakened, corrected to “1.85” when slightly strengthened, and “1” when strengthened. .90 ". On the other hand, as a case of reducing the strength, when the value before correction is “0.2”, it is corrected to “0.3”, when it is slightly increased, it is corrected to “0.15”, and when it is increased, “0.10”. To be corrected. That is, the value approaches “1” when weakening, and moves away from “1” when strengthening.

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

  As described above, when performing image processing on image data representing an image as each pixel in a dot matrix, the distance for observing the output image is acquired, and the image processing is performed according to this distance. By adjusting the degree of the image, even if the image looks good at a certain display size, the image processing will be excessively emphasized at the actual display size, or conversely, the image processing will not be emphasized enough to look beautiful. Can be prevented.

  In this way, when calculation is performed using pixel data in a predetermined range with respect to the pixel targeted for image processing, the change in resolution also affects the result of image processing. When an instruction to execute predetermined image processing and an instruction on image size are given to the image file 15a, it is determined whether or not the resolution needs to be increased or decreased. The image processing and the resolution are changed based on the adjusted degree of emphasis.

1 is a hardware schematic diagram of a personal computer that executes an image processing program according to an embodiment of the present invention. It is a system schematic diagram of an image processing program. It is a main flowchart of an image processing program. It is a figure which shows the data of a small sized unsharpness mask. It is a figure which shows the data of a medium-sized unsharpness mask. It is a figure which shows the data of a large sized unsharpness mask. It is a figure which shows the screen display of a printing instruction | indication. It is a figure which shows the influence degree in the case of image processing with the same mask size. It is a figure which shows the adjustment table of an influence degree. It is a flowchart which performs resolution conversion and image processing. It is a figure which shows the influence degree at the time of changing a mask size and processing an image. It is a figure which shows the adjustment table of an influence degree. It is a flowchart which performs resolution conversion and image processing. It is a figure which shows the influence degree of the image process in case the display size is changed. It is a figure which shows the adjustment table of an influence degree. It is a flowchart which performs the image process which adjusted the influence degree. It is a flowchart in the case of performing a plurality of image processing. It is a figure which shows the screen display which instruct | indicates several image processing. It is a figure which shows the adjustment table of an influence degree. It is a figure which shows the adjustment aspect of contrast. It is a figure which shows the input screen of an observer distance. It is a figure which shows a part of flowchart which corrects an adjustment table by observer distance. It is a figure which shows the value of the table corrected by observer distance.

Explanation of symbols

10 ... Computer 11 ... CPU
12 ... System bus 13 ... ROM
14 ... RAM
DESCRIPTION OF SYMBOLS 15 ... Hard disk drive 15a ... Image file 15b ... Adjustment table 15c ... Printer information file 16 ... Flexible disk drive 16a ... Flexible disk 17 ... CD-ROM drive 17a ... CD-ROM
18 ... Display 19a ... I / O for serial communication
19b ... I / O for parallel communication
DESCRIPTION OF SYMBOLS 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 30i of window area ... Lower left part 30j ... Lower right part 30k1, 30k2 ... Check boxes 30m1, 30m2 ... Emphasis 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

Claims (9)

An image data representing an image as a pixel in the form of a dot matrix having a first image size and a second image size.
A change degree detection function for detecting a change degree of the first image size and the second image size;
A distance detection function for detecting the distance at which the observer observes the printed matter;
A degree acquisition function for acquiring the degree of sharpness processing to be added to the image data of the first image size,
An adjustment function for adjusting the degree to the degree of sharpness processing to be added to the image data in the second image size based on the detected degree of change in the image size and the detected distance ;
An image processing function for performing sharpness processing on the image data in the second image size based on the adjusted degree;
A print control function for printing image data with sharpness processing at the second image size;
A medium having recorded thereon an image processing program characterized in that a computer is realized. In the medium on which the image processing program according to claim 1 is recorded, in the adjustment function, when the first image size is the first magnification that is the first image size to the second image size, the above degree In the second case where the first image size is a second magnification in which the magnification with respect to the second image size is smaller than the first magnification and is the same distance as the first case In addition, the above degree is adjusted to a second degree stronger than the first degree, the first image size is a magnification with respect to the second image size is the first magnification, and the distance is more than the first case. third when, medium recording an image processing program characterized that you adjust the degree above third degree weaker than the first degree of close. In the medium on which the image processing program according to claim 1 or 2 is recorded, the degree acquisition function further acquires a degree of contrast processing to be added to the image data of the first image size,
The adjustment function further adjusts the degree of the contrast processing to the degree of contrast processing to be added to the image data in the second image size based on the detected degree of change in the image size and the degree.
A medium on which an image processing program is recorded, wherein the image processing function further performs contrast processing on the image data in the second image size based on the adjusted degree of contrast processing. An image processing apparatus that performs image processing on image data that represents an image as each pixel in a dot matrix and has a first image size and a second image size,
A change degree detecting means for detecting a change degree of the first image size and the second image size;
Distance detection means for detecting the distance at which the observer observes the printed matter;
A degree acquisition means for acquiring a degree of sharpness processing to be added to the image data of the first image size;
Adjusting means for adjusting the degree to the degree of sharpness processing to be added to the image data in the second image size based on the detected degree of change in the image size and the detected distance ;
Image processing means for performing sharpness processing on the image data in the second image size based on the adjusted degree;
Print control means for printing the image data subjected to sharpness processing at the second image size;
An image processing apparatus comprising: 5. The image processing apparatus according to claim 4 , wherein the adjustment means sets the degree to the first level when the first image size is the first magnification and the first image size is the first magnification. In the second case where the first image size is a second magnification whose magnification with respect to the second image size is smaller than the first magnification and is the same distance as the first case, the above-mentioned degree Is adjusted to a second degree stronger than the first degree, and the first image size is a first magnification that is a magnification with respect to the second image size, and the distance is a third that is closer than the first case. in the case of an image processing apparatus characterized that you adjust the degree above third degree weaker than the first degree. In the image processing device according to claim 4 or 5, the degree acquisition unit further acquires a degree of contrast processing to be added to the image data of the first image size,
The adjusting means further adjusts the degree of the contrast processing to the degree of contrast processing to be added to the image data in the second image size based on the detected degree of change in the image size and the degree,
The image processing unit further performs contrast processing on the image data in the second image size based on the adjusted degree of contrast processing. An image processing method for performing image processing on image data representing an image as a pixel in a dot matrix and having a first image size and a second image size,
A change degree detection step of detecting a change degree of the first image size and the second image size;
A distance detection step for detecting the distance at which the observer observes the printed matter;
An extent acquisition step of acquiring the degree of sharpness processing to be added to the image data of the first image size;
An adjustment step of adjusting the degree to the degree of sharpness processing to be added to the image data in the second image size based on the detected degree of change in the image size and the detected distance ;
An image processing step for performing sharpness processing on the image data in the second image size based on the adjusted degree;
A printing controller process for printing the image data to which the sharpness processing is applied at the second image size;
An image processing method comprising: 8. The image processing method according to claim 7 , wherein, in the adjustment step, the first image size is set to the first magnification when the first image size is the first magnification. In the second case where the first image size is a second magnification whose magnification with respect to the second image size is smaller than the first magnification and is the same distance as the first case, the above-mentioned degree Is adjusted to a second degree stronger than the first degree, and the first image size is a first magnification that is a magnification with respect to the second image size, and the distance is a third that is closer than the first case. in the case of the image processing method characterized that you adjust the degree above third degree weaker than the first degree. In the image processing method according to claim 7 or 8, the degree acquisition step further acquires a degree of contrast processing to be added to the image data of the first image size,
The adjusting step further adjusts the degree of the contrast processing to the degree of contrast processing to be added to the image data in the second image size based on the detected degree of change in the image size and the degree.
The image processing method further comprises performing contrast processing on the image data at the second image size based on the adjusted degree of contrast processing.

Images