JP2008124958A - Image processor, image processing program and image processing system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To achieve image processing in which translucent processing can be applied efficiently to various images. <P>SOLUTION: The image processor comprises a section 11 for analyzing the information on the number of pixels in each row and column and the information on the size of each image when output from the information on the image and the information on the transmittance matrix, a first determination section 12a for determining whether the information on an image with transmittance can be generated or not based on the information on the size of each image when output analyzed at the analysis section 11, and a section 14 for generating the information on an image with transmittance based on the information on the image and the information on the transmittance matrix when a determination is made at the first judgment section 12a that the information on an image with transmittance can be generated. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to an image processing apparatus, an image processing program, and an image processing system.

  The translucent processing of the first image and the second image is performed by applying a set of coefficient values (α values) indicating the transmittance to the image element (object) to be drawn, so that it is two-dimensional translucent. Processing can be expressed at a time.

  Here, as a method of processing the translucent processing with PDL, a method of processing with an input image element (input object), a method of processing with an intermediate image element (intermediate object) such as a scanning line (scan line) (Patent Literature) 1), a method of processing in pixel units is conceivable.

JP 2005-182314 A

  An object of the present invention is to provide an image processing apparatus, an image processing program, or an image processing system that generates information related to an image with transmittance that is used when efficiently performing translucent processing.

  The invention according to claim 1 of the present application is an analysis means for analyzing information relating to the size of an image at the time of each output from information relating to an image and information relating to a transmittance matrix, and each output time analyzed by the analysis means. First determination means for determining whether or not information on an image with transmittance can be generated based on information on the size of the image, and information on the image with transmittance is generated by the first determination means When it is determined that it can be performed, the image processing apparatus includes a generation unit that generates information about the image with transmittance based on information about the image and information about the transmittance matrix.

  In the invention according to claim 2 of the present application, the first judging means has the same image size at the time of each output from information on the size of the image at the time of each output analyzed by the analyzing means. The image processing apparatus according to claim 1, wherein it is determined whether or not there is.

  In the invention according to claim 3 of the present application, the analysis unit further analyzes information on the number of vertical and horizontal pixels in each image element from the information about the image and the information about the transmittance matrix, and each of the analysis units analyzed by the analysis unit Second determination means for determining whether or not information on the image with transmittance can be generated based on information on the number of vertical and horizontal pixels, and information on the image with transmittance by the second determination means. Correction means for correcting so that information on the image with transmittance can be generated by enlarging or reducing at least one of the vertical and horizontal pixel numbers when it is determined that the generation is impossible. On the basis of the information related to the image corrected by the correcting means and the information related to the transmittance matrix. The image processing apparatus according to claim 1 or 2 to produce a that information.

  In the invention according to claim 4 of the present application, the second judging means determines whether or not the number of vertical and horizontal pixels is the same from the information about the number of vertical and horizontal pixels in each pixel element analyzed by the analyzing means. 4. The image processing apparatus according to claim 1, wherein the correction unit determines and corrects the number of vertical and horizontal pixels of the image to be the same as the number of vertical and horizontal pixels of the transmittance matrix. 5. is there.

  The invention according to claim 5 includes translucent processing means for performing translucent processing based on information about the image with transmittance generated by the generating means. The image processing apparatus described in the above.

  In the invention according to claim 6 of the present application, when it is determined by the second determination means that the number of vertical and horizontal pixels is different, the correction means determines the number of vertical and horizontal pixels of the image and the number of vertical and horizontal pixels of the transmittance matrix. The image processing apparatus according to claim 3, wherein the correction is performed so that the number of vertical and horizontal pixels is aligned.

  In the invention according to claim 7 of the present application, when it is determined by the second determination means that the number of vertical and horizontal pixels is different, the correction means determines the number of vertical and horizontal pixels of the image and the number of vertical and horizontal pixels of the transmittance matrix. The image processing apparatus according to claim 3, wherein the image processing apparatus performs a correction to align each with a predetermined size.

  The invention according to claim 8 of the present application includes an analysis step of analyzing information on the size of each image at the time of output from information on the image and information on the transmittance matrix, and each output time analyzed by the analysis step Determining whether or not information about an image with transmittance can be generated based on information about the size of the image, and generating information about the image with transmittance according to the first determining step. When it is determined that it is possible, the image processing program executes a generation step of generating information about the image with transmittance based on the information about the image and the information about the transmittance matrix.

  The invention according to claim 9 of the present application is an analysis means for analyzing information relating to the size of each output image from information relating to the image and information relating to the transmittance matrix, and each output time analyzed by the analysis means. First determination means for determining whether or not information on an image with transmittance can be generated based on information on the size of the image, and information on the image with transmittance is generated by the first determination means When it is determined that it can be performed, the image processing system includes a generation unit that generates information about the image with transmittance based on information about the image and information about the transmittance matrix.

  In the invention according to claim 1 of the present application, it is possible to efficiently generate information relating to an image with transmittance, compared to a case where the present configuration is not provided.

In the invention according to claim 2 of the present application, it is possible to efficiently generate information related to the image with transmittance as compared with the case where the present configuration is not provided.

  In the invention according to claim 3 of the present application, it is possible to efficiently generate information on the image with transmittance even when the vertical and horizontal pixel numbers of the image and the transmittance matrix are not the same as in the case where the present configuration is not provided. It becomes possible.

  In the invention according to claim 4 of the present application, it is possible to efficiently generate information related to an image with transmittance even when the vertical and horizontal pixel numbers of the image and the transmittance matrix are not the same as in the case without this configuration. It becomes possible.

  In the invention according to claim 5 of the present application, it is possible to efficiently perform the translucent process using the information related to the image with transmittance as compared with the case where the present configuration is not provided.

  In the invention according to claim 6 of the present application, compared with the case where the present configuration is not provided, even when the vertical and horizontal pixel number of the image and the vertical and horizontal pixel number of the transmittance matrix are different, the number of vertical and horizontal pixels is efficiently increased. Synthesis can be performed.

  In the invention according to claim 7 of the present application, compared to the case where the present configuration is not provided, the number of vertical and horizontal pixels of the image and the number of vertical and horizontal pixels of the transmittance matrix are efficiently adjusted in the same size. Synthesis can be performed.

  In the invention according to claim 8 of the present application, it is possible to provide a program for efficiently generating information related to an image with transmittance as compared with the case where the present configuration is not provided.

  In the invention according to claim 9 of the present application, it is possible to provide a system that efficiently generates information related to an image with transmittance as compared with the case where the present configuration is not provided.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram illustrating an image processing apparatus according to the present embodiment, in which (a) is a hardware configuration and (b) is a software configuration. The image processing apparatus according to the present embodiment has a function of performing a translucent process between a first image (drawing object in the present embodiment) and a second image (background in the present embodiment). is there.

  As shown in FIG. 1A, the hardware configuration of the image processing apparatus of this embodiment includes a CPU (Central Processing Unit) 1, a RAM (Random Access Memory) 2, a ROM (Read Only Memory) 3, an HDD ( Hard Disk Drive) 4, an input unit 5, and an output unit 6, and is mainly realized as an image output device such as a personal computer, a computer such as a workstation, a printer, a facsimile, or a copying machine.

  The CPU 1 is a part that controls each part and performs various processes by executing various programs. The RAM 2 temporarily stores programs executed by the CPU 1 and is used as a work area for information (data) for various processes. The ROM 3 is a part that stores a program necessary for controlling the image processing apparatus. The HDD 4 is a storage unit that stores various programs and data for various processes. The input reception unit 5 is an input reception device such as a keyboard, a pointing device, or a touch panel. The output unit 6 is an output device for display or print output.

  As shown in FIG. 1B, the software configuration of the image processing apparatus according to the present embodiment includes an analysis unit 11, a determination unit 12, a correction unit 13, a generation unit 14, a translucent processing unit 15, and a drawing processing unit 16. It is the main part. Each unit is realized as a program process executed by the CPU 1, and this program process is an image processing program of the present embodiment. That is, the hardware configuration in which the image processing program of this embodiment is executed becomes the image processing apparatus of this embodiment. It is also possible to provide the image processing program by storing it in a recording medium such as a CDROM.

  The analysis unit 11 is a soft mask that is a transmittance matrix used when performing the first image and the translucent process when performing the translucent process of the drawing object that is the first image and the background that is the second image. The number of pixels (image size) corresponding to the size of the image element in the soft mask, which is information relating to the size of the image at the time of output (output size), and the first image and the transparency matrix used when performing the translucent processing Processing for analyzing the first image information such as (size) and the information related to the soft mask, which is a transmittance matrix used when the translucent processing is performed. Here, the output size refers to the number of vertical and horizontal pixels corresponding to the size of the image, for example.

  The determination unit 12 compares the output sizes of the drawing object analyzed by the analysis unit 11 and the soft mask, and combines information related to the drawing object and information related to the soft mask. ) And a second determination unit 12b that determines whether or not the image size of the drawing object is the same as the image size of the soft mask. And.

  When the second determination unit 12b determines that the image size (number of vertical and horizontal pixels) of the drawing object is not the same as the image size (number of vertical and horizontal pixels) of the soft mask, the correction unit 13 determines at least one image size (vertical and horizontal pixel). (Number) is enlarged or reduced to correct the drawing object image size and the soft mask image size to be the same.

  When the determination unit 12 determines that the information about the image with transmittance can be generated by the determination unit 12, the generation unit 14 generates image information with transmittance (image with soft mask) by combining the drawing object and the soft mask. I do.

  The translucent processing unit 15 is a part that performs the translucent process using the image with the soft mask generated by the generating unit 14 and the background object that is the target of the translucent process. The translucent processing unit 15 performs translucent processing on an intermediate object (such as a scan line) in addition to translucent processing using an image with a soft mask.

  The drawing processing unit 16 performs processing to develop image data that has been translucently processed by the translucent processing unit 15 or image data that has been subjected to semitransparent processing with an intermediate object into bitmap data.

  Here, the soft mask, which is a transmittance matrix, is information in which a predetermined transmittance is set as α corresponding to each pixel in a matrix along the X and Y directions, and is handled as drawing information in the same manner as a drawing object. It is. The soft mask can express a predetermined shape as a set of transmittance α. The transmittance α is set in the range of 0-1.

  FIG. 2 is a schematic diagram for explaining a translucent process using a soft mask. In this example, the darker the black color indicated by the soft mask, the closer the transmittance α is to 1, indicating that there is a higher proportion of the drawing objects to be subjected to the translucent process.

  In order to perform the translucent process between the drawing object and the background, first, the value of each pixel of the drawing object is multiplied by the α value corresponding to each pixel of the soft mask. Next, the value of each pixel of the background is multiplied by (1-α) obtained from the α value corresponding to each pixel of the soft mask. Then, by adding these, each pixel value resulting from the translucent process is calculated.

That is, when the transmittance is α, the pixel value of the drawing object is Source, the background pixel value is Destination, and the pixel value of the rendering result by the translucent processing is Result, the translucent processing is performed by the following formula.
Result = α ・ Source + (1-α) ・ Destination

  Therefore, if the α value is 1, the drawing object is added by 100% and the drawing object is overwritten on the background, and if the α value is 0.5, the drawing object and the background are combined by 50%. If the α value is 0, there is no added amount of the drawing object, and the whole is in the background.

  In addition, as described above, since the array of α values of the soft mask has a predetermined shape, the ratio of translucency between the drawing object and the background changes in accordance with the shape depending on the α value matched to this shape. It will be.

  FIG. 3 is a schematic diagram for explaining the calculation of the translucent process using the soft mask. Here, in order to make the explanation easy to understand, a case of 2 × 2 pixel size is taken as an example. In the soft mask, transmittances α1 to α4 corresponding to 2 × 2 pixels are set. The values of 2 × 2 pixels of the drawing object are RGB1 to RGB4, and the values of 2 × 2 pixels of the background are RGB11 to RGB14. Here, RGB indicates each color value of R (red), G (green), and B (blue).

  In order to perform translucent processing of the drawing object and the background using a soft mask, a composition operation is performed using the transmittance α corresponding to each pixel of the soft mask, the drawing object, and the background, and each pixel value.

  For example, the composite pixel A1 is A1 = α1 · RGB1 + (1−α1) · RGB11, the composite pixel A2 is A2 = α2 · RGB2 + (1−α2) · RGB12, and the composite pixel A3 is A3 = α3 · RGB3 + (1 -Α3) · RGB13, and the combined pixel A4 is A4 = α4 · RGB4 + (1−α4) · RGB14.

  FIG. 4 is a flowchart illustrating an image processing program according to an example of the present embodiment. In the following description, reference numerals not shown in FIG. 4 refer to FIG.

  First, command analysis is performed (step S1). The analysis unit 11 performs command analysis. That is, information relating to soft masks and drawing objects are drawn from drawing commands (drawing instruction commands) in an input drawing instruction language (for example, PDL (Page Description Language), HTML (HyperText Markup Language), XML (Extensible Markup Language)). Analyzing information.

  Information to be analyzed includes specific character strings in drawing commands such as PDL, HTML, XML, intermediate information generated from drawing commands (DOM: Document Object Model, etc.), specific drawing instruction commands in drawing commands ( For example, an item used for determining whether or not to generate an image with a soft mask is extracted in a later step such as a parameter). Here, the items used for determining availability indicate information relating to the output size and information relating to the image size.

  Next, it is determined whether or not the output size of the drawing object is the same as the output size of the soft mask (step S2). This determination is performed by the first determination unit 12a of the determination unit 12. The first determination unit 12a uses the information about the soft mask and the information about the drawing object previously analyzed by the analysis unit 11 when determining whether or not the condition for generating the image with the soft mask is satisfied.

  Then, using the analyzed information, it is determined whether or not the output size of the drawing object matches the output size of the soft mask.

  In this determination, if the output size of the drawing object and the output size of the soft mask do not match, it is determined that the conditions for generating the image with the soft mask are not satisfied, and the drawing object and the soft mask are separately provided as intermediate codes. Generation is performed (step S3).

  On the other hand, if the output size of the drawing object matches the output size of the soft mask, it is determined whether or not the image size of the drawing object matches the image size of the soft mask (step S4). This determination is made by the second determination unit 12b of the determination unit 12. In making this determination, the second determination unit 12b uses information on the soft mask and information on the drawing object previously analyzed by the analysis unit 11. Then, using the analyzed information, it is determined whether or not the image size of the drawing object matches the image size of the soft mask.

  If it is determined that the image size of the drawing object does not match the image size of the soft mask, a correction process for adjusting the size is performed (step S5). This correction process is performed by the correction unit 13. A specific processing method will be described later.

  Here, the method of condition determination in the determination unit 12 will be described. The determination unit 12 determines the size (output size and image) of the soft mask and the drawing object based on the information obtained by the analysis by the analysis unit 11 (character string in the drawing command, parameters, intermediate information generated from the drawing command, etc.). Size) comparison.

  For example, whether the output sizes match by comparing a specific character string in the character string that represents the soft mask in the drawing command with a specific character string in the character string that represents the drawing object Determine whether.

  Further, a specific parameter of the command expressing the soft mask in the drawing command is compared with a specific parameter of the command expressing the drawing object to determine whether or not the output sizes match.

  Further, the intermediate information generated from the command representing the soft mask in the drawing command is compared with the intermediate information generated from the command representing the drawing object to determine whether or not the output sizes match.

  FIG. 5 is a diagram showing an example of a drawing command made of XML, and the determination unit 12 compares the sizes based on such a drawing command. For example, in the example shown in FIG. 5, the description indicated by <Path.OpacityMask> is a portion corresponding to the soft mask, and the description indicated by <Path.Fill> is a portion corresponding to the drawing object. Therefore, the determination unit 12 refers to the values of Viewport and ViewboxMatrixTransform among the commands of each unit, and determines whether various sizes match or does not match.

  If the condition is satisfied as a result of the comparison, the process proceeds to the generation process of the image with the soft mask (step S6). This generation process will be described later.

  Thereafter, the intermediate code is accumulated (step S7), and it is determined whether or not translucent processing is possible with the image with the soft mask (step S8). If semi-transparent processing is not possible with image data with a soft mask, after the intermediate object is decomposed (step S9), the semi-transparent processing is executed in a predetermined unit (scan line unit or the like) of the decomposed intermediate object ( Step S10), reconfiguration is performed (step S11), and the process proceeds to the drawing process (step S13).

  On the other hand, if the image with the soft mask can be translucently processed, the process proceeds to translucent processing (step S12) using the image data. In the translucent process with the image with the soft mask, the process of calculating the translucent pixel value in each pixel is performed by the arithmetic process described above with reference to FIG. Thereafter, the process proceeds to the drawing process (step S13).

  Here, the generation process shown in step S6 will be described. As described above, the condition for generating an image with a soft mask is that the number of vertical and horizontal pixels (output size) corresponding to the size of the output image of the soft mask and the drawing object is the same. Therefore, on the premise that the output sizes of the soft mask and the drawing object are the same, various generation processes can be cited according to the number of vertical and horizontal pixels (image size) in the source data.

  FIG. 6 is a schematic diagram for explaining generation of an image with a soft mask when the number of vertical and horizontal pixels in the source data of the soft mask and the drawing object is the same. In the example shown in FIG. 6, the number of XY pixels of the soft mask is 5 × 6 pixels, and the number of XY pixels of the drawing object is 5 × 6 pixels, which are the same. In this way, when the number of vertical and horizontal pixels in the source data is the same, image generation with a soft mask is performed in which each pixel is directly associated with each other.

  FIG. 7 is a schematic diagram illustrating generation (part 1) of an image with a soft mask when the numbers of vertical and horizontal pixels in the source data of the soft mask and the drawing object are different. In the example shown in FIG. 7, the number of XY pixels of the soft mask is 3 × 4 pixels, and the number of XY pixels of the drawing object is 6 × 8 pixels. As described above, when the number of XY pixels of the soft mask and the drawing object is different, the image information with transmittance corresponding to the larger size is generated.

  In this example, since the size of the drawing object is larger than the size of the soft mask, the size of the soft mask is enlarged in accordance with the size of the drawing object. Specifically, the number of XY pixels of the soft mask is expanded from 3 × 4 pixels to 6 × 8 pixels. On the other hand, generation of image information with transmittance is executed while the number of XY pixels of the drawing object remains 6 × 8.

  FIG. 8 is a schematic diagram for explaining the generation (part 2) of the image with the soft mask when the number of vertical and horizontal pixels in the source data of the soft mask and the drawing object is different. In the example shown in FIG. 8, the number of XY pixels of the soft mask is 2 × 3 pixels, and the number of XY pixels of the drawing object is 3 × 4 pixels. Thus, when the number of XY pixels of a soft mask and a drawing object differs, generation | occurrence | production of the production | generation of an image with a soft mask is performed combining both to the predetermined number of XY pixels. The predetermined number of XY pixels may be, for example, the number of XY pixels at the output stage, the number of XY pixels composed of the least common multiple of the number of both XY pixels, or an arbitrary number of XY pixels.

  In the example illustrated in FIG. 8, the number of XY pixels to be combined is 5 × 6 pixels, and both the 2 × 3 pixels of the soft mask and the 3 × 4 pixels of the drawing object are enlarged to 5 × 6 pixels, respectively. . Then, an image with a soft mask is generated in a state where the number of XY pixels is the same.

  FIG. 9 is a schematic diagram illustrating an example of the generation process. Here, in order to make the explanation easy to understand, a case of 2 × 2 pixel size is taken as an example. In the soft mask, transmittances α1 to α4 corresponding to 2 × 2 pixels are set. The values of 2 × 2 pixels of the drawing object are RGB1 to RGB4.

  The image with the soft mask is generated using information obtained by combining the transmittance α and the pixel value corresponding to each pixel of the soft mask and the drawing object.

  Here, the pixel value corresponding to each pixel of the drawing object is composed of three elements of RGB. On the other hand, the value corresponding to each pixel of the soft mask is composed of one element called α value. The generation of an image with a soft mask is a process of holding four elements called αRGB, which are a combination of these elements, as one unit.

  For example, the composite pixel B1 is B1 = (α1, RGB1), the composite pixel B2 is B2 = (α2, RGB2), the composite pixel B3 is B3 = (α3, RGB3), and the composite pixel B4 is B4 = (α4 , RGB4). That is, the image with a soft mask has a data structure in which the RGB pixel values of the drawing object are combined with the α value corresponding to the pixel. In the generation process, by referring to the image with the soft mask, the pixel value and the α value of the drawing object corresponding to the pixel can be used as coefficients, and the synthesis operation described with reference to FIG. 3 is executed.

  FIG. 10 is a schematic diagram illustrating the image processing system according to the present embodiment. The image processing system according to the present embodiment includes an analysis unit 11, a determination unit 12, a correction unit 13, a generation unit 14, a translucent processing unit 15, and a drawing processing unit 16 (FIG. 1), which are the main units of the image processing apparatus according to the present embodiment. A part or all of (see (b)) is connected via a network N which is a telecommunication line.

  That is, as shown in FIG. 10, in a configuration in which a plurality of personal computers PC1, PC2 and an output device PR1 such as a printer and a server SV1 are connected via a network N such as a LAN (Local Area Network) or the Internet. The unit 11, the determination unit 12, the correction unit 13, the generation unit 14, the translucent processing unit 15, and the drawing processing unit 16 are stored in any one of the personal computers PC1, PC2, and the server SV1, and each unit performs each processing. A single image processing system is configured by performing processing in a distributed manner and transmitting processing results via the network N. Even with such an image processing system, the above-described image processing apparatus and image processing program can be realized.

It is a block diagram explaining the image processing apparatus which concerns on this embodiment. It is a schematic diagram explaining the translucent process using a soft mask. It is a schematic diagram explaining the calculation of the translucent process using a soft mask. It is a flowchart explaining the image processing program which concerns on this embodiment. It is a figure which shows an example of a drawing command. It is a schematic diagram explaining the composition when the number of vertical and horizontal pixels in the source data of the soft mask and the drawing object is the same. It is a schematic diagram explaining the synthesis | combination (the 1) in case the number of vertical and horizontal pixels in the source data of a soft mask and a drawing object differs. It is a schematic diagram explaining the synthesis | combination (the 2) in case the number of vertical and horizontal pixels in the source data of a soft mask and a drawing object differs. It is a schematic diagram explaining the example of a synthetic | combination process. It is a mimetic diagram explaining an image processing system concerning this embodiment.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... CPU, 2 ... RAM, 3 ... ROM, 4 ... HDD, 5 ... Input part, 6 ... Output part, 11 ... Analysis part, 12 ... Judgment part, 12a ... 1st judgment part, 12b ... 2nd judgment , 13 ... correction unit, 14 ... generation unit, 15 ... translucent processing unit, 16 ... drawing processing unit, N ... network, PC1 ... personal computer, PC2 ... personal computer, PR1 ... printer, SV1 ... server

Claims (9)

An analysis means for analyzing information on the size of each output image from information on the image and information on the transmittance matrix;
First determination means for determining whether or not information on an image with transmittance can be generated based on information on the size of each output image analyzed by the analysis means;
If it is determined by the first determination means that information regarding the image with transmittance can be generated, information regarding the image with transmittance is determined based on the information regarding the image and the information regarding the transmittance matrix. An image processing apparatus comprising: generating means for generating. The first determining means determines whether or not the sizes of the images at the time of each output are the same from the information on the sizes of the images at the time of the outputs analyzed by the analyzing means. The image processing apparatus according to claim 1, wherein: The analysis means further analyzes information about the number of vertical and horizontal pixels in each image element from information about the image and information about the transmittance matrix,
Second determination means for determining whether information on the image with transmittance can be generated based on information on the number of vertical and horizontal pixels analyzed by the analysis means;
When it is determined by the second determination means that information about the image with transmittance cannot be generated, at least one of the vertical and horizontal pixels is enlarged or reduced to generate information about the image with transmittance. Correction means for correcting so that
3. The image according to claim 1, wherein the generation unit generates information on the image with transmittance based on information on the image corrected by the correction unit and information on a transmittance matrix. Processing equipment. The second determining means determines whether or not the respective vertical and horizontal pixel numbers are the same from the information about the vertical and horizontal pixel numbers in the respective pixel elements analyzed by the analyzing means,
The image processing according to any one of claims 1 to 3, wherein the correcting unit corrects the number of vertical and horizontal pixels of the image to be the same as the number of vertical and horizontal pixels of the transmittance matrix. apparatus. 5. The image according to claim 1, further comprising a translucent processing unit configured to perform a translucent process based on information on the image with transmittance generated by the generating unit. Processing equipment. When it is determined by the second determining means that the number of vertical and horizontal pixels is different, the correcting means aligns to a larger number of vertical and horizontal pixels between the vertical and horizontal pixel number of the image and the vertical and horizontal pixel number of the transmittance matrix. The image processing apparatus according to claim 3, wherein correction is performed. When the second determining means determines that the vertical and horizontal pixel numbers are different, the correcting means sets the vertical and horizontal pixel numbers of the image and the vertical and horizontal pixels of the transmittance matrix to the same predetermined size. The image processing apparatus according to claim 3, wherein each of the corrections is performed. An analysis step for analyzing information on the size of the image at each output from information on the image and information on the transmittance matrix;
A determination step of determining whether or not it is possible to generate information on an image with transmittance based on information on the size of each output image analyzed in the analysis step;
If it is determined in the first determination step that information regarding the image with transmittance can be generated, information regarding the image with transmittance is determined based on information regarding the image and information regarding the transmittance matrix. An image processing program, wherein the generating step is generated by a computer. An analysis means for analyzing information on the size of each output image from information on the image and information on the transmittance matrix;
First determination means for determining whether or not information on an image with transmittance can be generated based on information on the size of each output image analyzed by the analysis means;
If it is determined by the first determination means that information regarding the image with transmittance can be generated, information regarding the image with transmittance is determined based on the information regarding the image and the information regarding the transmittance matrix. An image processing system comprising: generating means for generating.

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