JP2005018465A - Image processor, method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an information processor, method and program capable of suitably setting the attribute information of a composite image composed of a plurality of images, and suitably processing the composite image. <P>SOLUTION: Image signals IMG1, IMG2 are inputted from image signal processing parts 101, 102, and image composition ratio data BR are inputted from an image composition ratio data input part 103. Next, an image composing part 105 composes an image signal using the data BR and outputs a composite image IMG3. The attribute information Z1 of the image signal IMG1 is inputted from an attribute information input part 104 and added by an attribute information composing process part 108 to the attribute information Z2 of an image signal IMG2 created by an attribute information creating part 106. A screen process part 109 processes the composite image IMG3 using the composed attribute information Z3. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to an image processing technique for performing image processing on a composite image obtained by combining a plurality of images.
[0002]
[Prior art]
In general, an image to be subjected to image processing often has attribute information assigned to each pixel or block. By holding such attribute information, for example, whether the part is a character or an image for each pixel or block in the image, or whether the part is achromatic or chromatic It can be easily distinguished. Accordingly, when image processing is performed on an image having attribute information, optimal image processing can be performed by appropriately selecting the content of the image processing based on the attribute information ( For example, see Patent Document 1).
[0003]
[Patent Document 1]
Japanese Patent Laid-Open No. 2001-358929
[Problems to be solved by the invention]
However, when image processing is performed on a composite image obtained by combining an image having attribute information and an image having no attribute information, or images having different attribute information, the attribute information of the composite image is appropriately set. Can't get to. Therefore, in the conventional image processing, there is a problem that it is difficult to perform appropriate image processing on the composite image by using attribute information.
[0005]
The present invention has been made in view of such circumstances, and can suitably set attribute information of a composite image obtained by combining a plurality of images, and performs suitable image processing on the composite image. It is an object of the present invention to provide an image processing apparatus and method, and a program that can perform the processing.
[0006]
[Means for Solving the Problems]
In order to solve the above problems, the present invention is an image processing apparatus that performs image processing by combining a plurality of images,
An image input means for inputting a plurality of images;
Image combining means for combining the plurality of images based on predetermined image combining ratio information to generate a combined image;
Attribute acquisition means for acquiring attribute information for each of the plurality of images;
Attribute generating means for combining the attribute information for each of the plurality of images based on predetermined attribute information combining ratio information to generate attribute information of the combined image;
And image processing means for performing predetermined image processing on the composite image based on attribute information of the composite image.
[0007]
In the image processing apparatus according to the present invention, when an image having no attribute information is included in the plurality of images input from the image input unit, the attribute of the image is based on the image composition ratio information. An attribute setting means for setting information;
The attribute generation unit generates the attribute information of the combined image by combining the attribute information set by the attribute setting unit and the attribute information acquired by the attribute acquisition unit based on the attribute combination ratio information. It is characterized by that.
[0008]
Furthermore, in the image processing apparatus according to the present invention, the attribute generation unit selects any of the attributes included in the attribute information related to the plurality of images and generates attribute information of the composite image. And
[0009]
Furthermore, the image processing apparatus according to the present invention is characterized in that the attribute information is held in pixel units or predetermined block units of the image.
[0010]
Still further, in the image processing apparatus according to the present invention, the attribute generation unit may convert any of the attribute information held for each of the plurality of images based on the attribute composition ratio information in units of pixels or a predetermined block. The attribute information of the composite image is generated by selecting in units.
[0011]
Furthermore, the image processing apparatus according to the present invention is characterized in that the attribute information is information indicating a character attribute or an attribute other than a character attribute.
[0012]
Furthermore, in the image processing apparatus according to the present invention, the image processing unit switches the screen pattern in units of pixels or in units of predetermined blocks based on the attribute information generated by the attribute generation unit, and performs the synthesis. Screen processing is performed on the image.
[0013]
With the above configuration, the image processing apparatus according to the present invention calculates the attribute information composition ratio based on the image composition ratio, and provides suitable attribute information when performing image processing on the generated composite image. As a result, for example, appropriate attribute information is generated even for a composite image obtained by combining an image that does not have attribute information and an image that has attribute information, or by combining images having different attribute information. Therefore, suitable image processing based on the attribute information can be performed.
[0014]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.
[0015]
<First Embodiment>
In the present embodiment, an image processing apparatus will be described in which image signals IMG1 and IMG2 relating to two images are input and combined to perform screen processing.
[0016]
FIG. 1 is a block diagram showing a configuration of an image processing apparatus according to the first embodiment of the present invention. In FIG. 1, 101 is an image signal input unit that inputs an image signal IMG1 relating to a first image having attribute information, and 102 is an image signal input unit that inputs an image signal IMG2 relating to a second image not having attribute information. is there. Reference numeral 103 denotes an image composition ratio data input unit for inputting image composition ratio data BR from the outside when the image signal IMG1 and the image signal IMG2 are synthesized to generate the composite image signal IMG3. Reference numeral 104 denotes an attribute information input unit that inputs the attribute information Z1 of the image signal IMG1 related to the first image. In the present embodiment, it is assumed that the image signal IMG2 relating to the second image does not initially have attribute information.
[0017]
In FIG. 1, reference numeral 105 denotes an image composition processing unit that synthesizes the image signal IMG1 and the image signal IMG2 using the composition ratio data BR. Reference numeral 106 denotes an attribute information generation unit that generates attribute information Z2 for the image signal IMG2 based on the image composition ratio data BR. Reference numeral 107 denotes an attribute information combination ratio calculation unit that calculates attribute information combination ratio data ZBR that is a ratio for combining the attribute information Z1 and the attribute information Z2 based on the image combination ratio data BR. Further, reference numeral 108 denotes an attribute information synthesis processing unit that generates attribute information Z3 synthesized by synthesizing the attribute information Z1 and the attribute information Z2 based on the attribute information synthesis ratio data ZBR.
[0018]
Further, in FIG. 1, reference numeral 109 denotes an image processing unit that performs image processing on the image signal IMG3 synthesized by the image synthesis processing unit 105 based on the attribute information Z3 synthesized by the attribute information synthesis processing unit 108. . In the present embodiment, the image processing unit performs screen processing on the image signal IMG3 related to the composite image, and switches image processing parameters in units of pixels or in units of predetermined blocks based on the attribute information Z3. It is assumed that image processing for selecting a screen pattern suitable for IMG3 is performed. Hereinafter, the image processing unit that performs the screen processing is referred to as a “screen processing unit 109”. The contents of the image processing performed in the image processing unit may be, for example, color conversion processing as long as the image processing using the synthesized attribute information Z3 can be optimized, and is not limited to screen processing. Needless to say.
[0019]
Here, as described above, the image signal IMG2 in the present embodiment is premised on not having the attribute information Z2. In the conventional combined image processing, as described above, when the image signal IMG2 does not have the attribute information Z2, it is not possible to obtain the attribute information for performing the optimum image processing corresponding to the combined image. It was. Therefore, in the present embodiment, the attribute information Z2 corresponding to the image signal IMG2 is generated using the image combination ratio data BR, and the attribute information ZMG1 is combined with the attribute information Z1 of the image signal IMG1 using the attribute information combination ratio data ZBR. By doing this, the attribute information of the composite image was generated. Thereby, the conventional problem can be solved as will be described in detail below.
[0020]
FIG. 2 is a diagram for explaining a synthesis example when the image signal IMG1 and the image signal IMG2 are synthesized using the image synthesis ratio data BR. That is, FIG. 2 illustrates an example in which a first image that is a natural image and a second image that is a character image indicating a page number are combined. In FIG. 2, 2A is a first image corresponding to the image signal IMG1, and is a natural image in which the character “sunny” is described in the upper left and the sun and pyramid images are drawn. Reference numeral 2B denotes a second image corresponding to the image signal IMG2, and is a character image in which “23” representing the 23rd page is drawn. 2C is an image indicating the image composition ratio data BR, and the character portion is white and the others are black corresponding to the image 2B. Further, 2D indicates an image 2D corresponding to the image signal IMG3 obtained by combining the image signal IMG1 and the image signal IMG2 based on the image composition ratio data BR.
[0021]
In this embodiment, both the images 2A and 2B are expressed with 256 gradations (8-bit signal) of 0 to 255 levels per pixel, and the image composition ratio data BR also has 256 composition ratios per pixel. Let it be an 8-bit signal that can be shown. In FIG. 2, 0 is black, 255 is white, and a dot display portion is shown as an intermediate gradation value (for example, 128) therebetween.
[0022]
Next, an image composition and image processing procedure by the image processing apparatus according to the first embodiment having the above-described configuration will be described. FIG. 6 is a flowchart for explaining an operation procedure of the image processing apparatus according to the first embodiment.
[0023]
First, the image signal IMG1 (corresponding to the image 2A) is input from the image signal input unit 101, the image signal IMG2 (corresponding to the image 2B) is input from the image signal input unit 102, and the image composition ratio data input unit 103 is also input. Image composition ratio data BR (corresponding to image 2C) is input (step S1). In addition, the input order of the data may be simultaneous or may have a time difference. Next, the image composition processing unit 105 performs image composition processing of the image signal IMG1 and the image signal IMG2 based on the image composition ratio data BR, and generates an image signal IMG3 (corresponding to the image 2D) (Step S1). S2).
[0024]
In the image composition processing in the image composition processing unit 105, for example, composite image data is calculated using the processing shown in Expression (1).
[0025]
IMG3 (i, j) =
(IMG1 (i, j) × (255−BR (i, j)) + IMG2 (i, j) × BR (i, j)) / 255 (1)
Here, (i, j) represents the coordinates of the input image and image composition ratio data, and represents the i-th pixel in the horizontal direction and the j-th pixel in the vertical direction.
[0026]
From equation (1), for example, if BR (i, j) is 0, the image signal value of IMG1 (i, j) is used as the image signal at the position (i, j) of the combined image, If BR (i, j) is 255, the image signal value of IMG2 (i, j) is used. If BR (i, j) is 128, the image signal value of IMG1 and the image signal value of IMG2 are each half. It can be seen that the signals are added one by one. Note that the image composition method is not limited to the method represented by the above formula (1).
[0027]
In the present embodiment, as shown in FIG. 2, the image composition ratio data BR is represented by an image 2C in which the character “23” is white (255) and the other portions are black (0). Therefore, based on the above formula (1), when BR (i, j) is 255, the image signal value of the image signal IMG2 becomes the signal value of the composite image IMG3, and for the other portions, the image signal value of the image signal IMG1 Becomes the signal value of the composite image IMG3. Therefore, in this embodiment, the composite image illustrated in 2D of FIG. 2 is obtained.
[0028]
On the other hand, the attribute information in this embodiment is given as 1-bit data in which 0 (black) is an attribute other than a character and 1 (white) is a character attribute. This is because, in the present embodiment, the character attribute and other attributes are screened using different screen patterns, so that the image attribute is a character attribute or other attribute. Two attributes are used. Note that the attribute information can be used by using other attributes such as matching the contents of the image processing when other image processing is performed, and two or more attributes can be used. Information may be used.
[0029]
Next, the attribute information generation unit 106 generates attribute information Z2 corresponding to the image signal IMG2 based on the image composition ratio data BR (step S3). In the present embodiment, assuming that the image composition ratio data BR is multi-value data, the image composition ratio data BR is binarized with a predetermined threshold value TH1, and the following expression (2) is obtained. Attribute information Z2 is generated.
[0030]
BR (i, j)> TH1... Z2 (i, j) = 1 (white) (2)
BR (i, j) ≦ TH1... Z2 (i, j) = 0 (black)
However, 1 (white) indicates a character attribute, and 0 (black) indicates an attribute other than a character.
[0031]
FIG. 3 is a diagram for explaining the attribute information Z2 in the first embodiment. As shown in FIG. 3, in the attribute information Z2 generated by the attribute information generation unit 106, only the portion corresponding to the character “23” is represented by 1 (white) which is the character attribute, and other portions are other than the characters. It is represented by the attribute 0 (black).
[0032]
Further, the image composition ratio data BR input from the image composition ratio data input unit 103 is input to the attribute information composition ratio calculation unit 107, where attribute information composition ratio data ZBR is calculated (step S4). In the present embodiment, the attribute information composition ratio calculation unit 107 calculates the attribute information composition ratio data ZBR as shown in Expression (3).
[0033]
BR (i, j)> TH0... ZBR (i, j) = 255 (3)
BR (i, j) ≦ TH0... ZBR (i, j) = 0
That is, the attribute information synthesis ratio calculation unit 107 is configured to binarize the synthesis ratio signal value into binary data of 255 or 0 using the threshold value TH0. In this embodiment, the threshold value TH0 is 128, but this value may be set arbitrarily.
[0034]
In the present embodiment, as described above, the image composition ratio data BR is assumed to be binary of 255 and 0. Therefore, the attribute information composition ratio data ZBR is exactly the same signal as the signal indicated by the image 2C in FIG. 2 for the image composition ratio data BR. In this embodiment, the image composition ratio data BR is binary data for the sake of simplicity. However, as described above, binary data is used as 8-bit data instead of binary data. Therefore, it is possible to generate attribute information ZBR suitable for the composite image. It should be noted that the attribute is not two types as in the present embodiment, for example, even if the attribute is configured by a plurality of bits and the attribute is assigned to each bit, the same processing is performed for each bit. Is possible.
[0035]
Then, the attribute information synthesis processing unit 108 synthesizes the attribute information Z1 of the image signal IMG1 and the attribute information Z2 of the image signal IMG2 based on the attribute information synthesis ratio data ZBR generated by the attribute information synthesis ratio calculation unit 107. Then, the attribute information Z3 corresponding to the combined image signal IMG3 is generated (step S5). The attribute information composition ratio data ZBR described above is converted into binary data of 255 and 0 by the binarization process. In the case of 255 (that is, the white portion in FIG. 3), the attribute information Z2 is also 0 (that is, In the case of the black portion in FIG. 3, the attribute information Z1 is used as the signal value of the combined attribute information Z3.
[0036]
FIG. 4 is a diagram for explaining attribute information synthesis processing by the attribute information synthesis processing unit 108. 4, 4A is attribute information Z1 of the image signal IMG1, 4B is attribute information Z2 of the image signal IMG2 generated by the attribute information generation unit 106 based on the image synthesis ratio, and 4C is an attribute of the attribute information synthesis processing unit 108. The attribute information Z3 after 4A and 4B are combined based on the information combining ratio data is shown. As shown in FIG. 4, the portions where characters are drawn in 4A and 4B are character attributes (white), and the other portions are attributes other than characters (black). Further, it can be seen that the character attribute portion of 4B is an attribute other than a character in 4A, but is overwritten in the synthesized attribute information 4C.
[0037]
Here, when comparing the composite image 2D in FIG. 2 with the composite attribute information indicated by the attribute information 4C in FIG. 4, the place where characters are drawn in the composite image 2D (that is, “sunny”, “23”) It can be seen that the attribute information 4C is a character attribute.
[0038]
In the present embodiment, the screen processing unit 109 prepares two screens for character attributes and a screen pattern for non-character attributes, and based on the attribute information Z3 synthesized by the attribute information synthesis processing unit 108. The two screen patterns are configured to be switched, and the image signal IMG3 synthesized by the image synthesis processing unit 105 is binarized using a screen pattern suitable for the attribute of each pixel (step S6). For example, in a pixel having an image attribute in which gradation stability is important in a printer using an electrophotographic process, binarization is performed so that gradation in a highlight portion is stabilized using a screen pattern having a coarse cycle. Is desirable. On the other hand, it is desirable to improve the readability of a thin character in a pixel having character attributes by using a screen pattern with a fine cycle even if the gradation is not stable.
[0039]
In this embodiment, as is clear from the image 4C in FIG. 4, by generating attribute information suitable for the composite image from the attribute information of the original image, processing can be switched even in the composite image. . Then, based on the attribute for each pixel, image processing can be suitably performed by adaptively switching between character processing for character attributes and image processing for image attributes.
[0040]
In the present embodiment, since the image composition ratio data is assumed to be binary values of 255 and 0, it is equivalent to the attribute information composition ratio data, and the attribute information composition ratio data ZBR is the image composition ratio data BR. Is exactly the same signal. In the present embodiment, the image composition ratio data BR is described as binary data for the sake of simplicity, but may be used as 8-bit data that is the same as the image signal.
[0041]
Further, there may be a difference between the respective composition ratio data such that the image composition ratio data is multivalued and the attribute information composition ratio data is binary as in the present embodiment. However, in the attribute information composition processing in the attribute information processing unit 108 of the present embodiment, the intermediate value between the attribute information Z2 and the attribute information Z1 has no meaning, and the attribute information Z2 is selected or the attribute information Z1 is selected. Therefore, a binary signal is sufficient for the attribute information synthesis ratio data ZBR. In this embodiment, the attribute information composition ratio data is given values of 255 and 0 for convenience, but 1-bit information, that is, 1 and 0 may be assigned.
[0042]
In the above-described embodiment, the case where the image signal IMG2 does not have the attribute information Z2 is described. However, even if the image signal IMG2 has the attribute information Z2 from the beginning, the attribute information of the image signal IMG1. If it is different from Z1, it is difficult to simply combine them to obtain the attribute information Z3 of the composite image. Therefore, even in such a case, it is possible to easily cope with the case by performing the same as in the present embodiment.
[0043]
Further, in the present embodiment, the attribute information composition ratio data ZBR is used. However, by using the attribute information Z2 instead of the attribute information composition ratio data ZBR, the attribute information composition ratio calculation unit in the image processing apparatus having the above-described configuration. 107 can be omitted.
[0044]
In this embodiment, the case where two images are combined has been described. However, the case where image signals relating to three or more images are combined and processed can also be implemented in the same manner. In this case, for example, there is a method in which, after the above-described combining process is performed on two images, the combined image and the third image are further combined, and the fourth and subsequent images are similarly processed. Although three or more images may be combined at the same time, Equation (1) in this case performs a combining process using three or more image signals to be combined.
[0045]
<Second Embodiment>
FIG. 5 is a block diagram showing a configuration of an image processing apparatus according to the second embodiment of the present invention. The image processing apparatus according to the second embodiment includes an image composition ratio calculation unit 501 instead of the image composition ratio data input unit 103 of the image processing apparatus according to the first embodiment illustrated in FIG. Other components operate in the same manner as the respective units of the image processing apparatus according to the first embodiment described above.
[0046]
The image composition ratio calculation unit 501 receives the image signal IMG2 from the image signal input unit 502, and calculates image composition ratio data BR (i, j) as shown in Expression (4), for example.
[0047]
IMG2 (i, j)> TH1... BR (i, j) = 255 (4)
IMG2 (i, j) ≦ TH1... BR (i, j) = 0
Note that IMG2 (i, j) is the size at the coordinates (i, j) of the image signal IMG2.
[0048]
For example, assuming that the threshold value TH1 = 50, the IMG2 as shown by 2B in FIG. 2 is binarized. Thereby, image composition ratio data as shown in 2C of FIG. 2 is calculated. The subsequent processing is the same as that in the first embodiment, and the same effect is obtained.
[0049]
As described above, in the present embodiment, the method for calculating the image composition ratio based on the magnitude of the input image signal has been described. In addition to Expression (4), for example, BR = 255 may be set when it is smaller than TH1, and BR = 0 may be set when it is larger, or it may be divided into multiple values instead of binary values.
[0050]
<Other embodiments>
Note that the present invention can be applied to a system composed of a plurality of devices (for example, a host computer, an interface device, a reader, a printer, etc.), but a device (for example, a copier, a facsimile machine, etc.) composed of a single device You may apply to.
[0051]
Also, an object of the present invention is to supply a recording medium (or storage medium) on which a program code of software that realizes the functions of the above-described embodiments is recorded to a system or apparatus, and the computer (or CPU or CPU) of the system or apparatus. Needless to say, this can also be achieved when the MPU) reads and executes the program code stored in the recording medium. In this case, the program code itself read from the recording medium realizes the functions of the above-described embodiment, and the recording medium on which the program code is recorded constitutes the present invention. Further, by executing the program code read by the computer, not only the functions of the above-described embodiments are realized, but also an operating system (OS) or the like running on the computer based on an instruction of the program code. It goes without saying that a case where the function of the above-described embodiment is realized by performing part or all of the actual processing and the processing is included.
[0052]
Further, after the program code read from the recording medium is written into a memory provided in a function expansion card inserted into the computer or a function expansion unit connected to the computer, the function expansion is performed based on the instruction of the program code. It goes without saying that the case where the CPU or the like provided in the card or the function expansion unit performs part or all of the actual processing and the functions of the above-described embodiments are realized by the processing.
[0053]
When the present invention is applied to the recording medium, program code corresponding to the flowchart described above is stored in the recording medium.
[0054]
【The invention's effect】
As described above, according to the present invention, it is possible to suitably set attribute information of a composite image obtained by combining a plurality of images, and it is possible to perform suitable image processing on the composite image.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a configuration of an image processing apparatus according to a first embodiment of the present invention.
FIG. 2 is a diagram for explaining a synthesis example in the case of synthesizing an image signal IMG1 and an image signal IMG2 using image synthesis ratio data BR.
FIG. 3 is a diagram for explaining attribute information Z2 in the first embodiment.
FIG. 4 is a diagram for explaining attribute information synthesis processing by the attribute information synthesis processing unit;
FIG. 5 is a block diagram showing a configuration of an image processing apparatus according to a second embodiment of the present invention.
FIG. 6 is a flowchart for explaining an operation procedure of the image processing apparatus according to the first embodiment;
[Explanation of symbols]
101, 102 Image signal input unit 103 Image composition ratio data input unit 104 Attribute information input unit 105 Image composition processing unit 106 Attribute information generation unit 107 Attribute information composition ratio calculation unit 108 Attribute information composition processing unit 109 Screen processing unit 501 Image composition ratio Calculation unit IMG1, IMG2, IMG3 Image signal Z1, Z2, Z3 attribute information

Claims (12)

An image processing apparatus that performs image processing by combining a plurality of images,
An image input means for inputting a plurality of images;
Image combining means for combining the plurality of images based on predetermined image combining ratio information to generate a combined image;
Attribute acquisition means for acquiring attribute information for each of the plurality of images;
Attribute generating means for combining the attribute information for each of the plurality of images based on predetermined attribute information combining ratio information to generate attribute information of the combined image;
An image processing apparatus comprising: image processing means for performing predetermined image processing on the composite image based on attribute information of the composite image. If the plurality of images input from the image input means includes an image that does not have attribute information, the image input means further includes attribute setting means for setting the attribute information of the image based on the image composition ratio information,
The attribute generation unit generates the attribute information of the combined image by combining the attribute information set by the attribute setting unit and the attribute information acquired by the attribute acquisition unit based on the attribute combination ratio information. The image processing apparatus according to claim 1. 3. The image processing according to claim 1, wherein the attribute generation unit generates attribute information of the composite image by selecting any of the attributes included in the attribute information regarding the plurality of images. 4. apparatus. The image processing apparatus according to any one of claims 1 to 3, wherein the attribute information is held in pixel units or predetermined block units of an image. The attribute generation unit selects attribute information of the composite image by selecting one of the attribute information held for each of the plurality of images in units of pixels or in units of predetermined blocks based on the attribute composite ratio information. The image processing apparatus according to claim 4, wherein the image processing apparatus generates the image processing apparatus. The image processing apparatus according to claim 1, wherein the attribute information is information indicating a character attribute or an attribute other than a character attribute. An image processing apparatus that performs image processing by combining two images,
Image input means for inputting the first image and the second image;
Image combining means for combining the first image and the second image based on predetermined image combining ratio information to generate a combined image;
First attribute acquisition means for acquiring attribute information held by the first image;
Second attribute acquisition means for acquiring attribute information of the second image;
Attribute generating means for combining the first and second attribute information based on predetermined attribute combination ratio information to generate attribute information of the combined image;
An image processing apparatus comprising: image processing means for performing predetermined image processing on the composite image based on attribute information of the composite image. Attribute setting means for setting attribute information of the second image based on the image composition ratio information;
Based on the attribute composition ratio information, the attribute generation unit generates attribute information of the second image set by the attribute setting unit and attribute information of the first image acquired by the attribute acquisition unit based on the attribute composition ratio information. The image processing apparatus according to claim 7, wherein the attribute information of the synthesized image is generated by synthesizing in units or predetermined block units. The image processing means performs screen processing on the composite image by switching a screen pattern in pixel units or predetermined block units based on the attribute information generated by the attribute generation means. The image processing apparatus according to any one of claims 1 to 8. An image processing method for performing image processing by combining a plurality of images,
An image combining step of combining a plurality of images based on predetermined image combining ratio information to generate a combined image;
An attribute acquisition step of acquiring attribute information for each of the plurality of images;
An attribute generation step of combining attribute information for each of the plurality of images based on predetermined attribute information combining ratio information to generate attribute information of the combined image;
An image processing method comprising: an image processing step of performing predetermined image processing on the composite image based on the attribute information of the composite image. To a computer that combines multiple images and performs image processing,
An image composition procedure for compositing a plurality of images based on predetermined image composition ratio information to generate a composite image;
An attribute acquisition procedure for acquiring attribute information for each of the plurality of images;
An attribute generation procedure for generating attribute information of the combined image by combining the attribute information for each of the plurality of images based on predetermined attribute information combining ratio information;
A program for executing an image processing procedure for performing predetermined image processing on the composite image based on the attribute information of the composite image. A computer-readable recording medium storing the program according to claim 11.

Images