JPH1145080A - Picture operation device, picture operation method, and record medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a picture operation device and the like by which the efficiency of picture operation is improved. SOLUTION: By this device, pixel components indicated in a table number 0 of each table (S1- Tb1, S2- Tb1, Dest- Tb1) of input pictures S1, S2, and an output picture D are operated. That is, a G component of the input picture S1 and an R component of the input picture S2 are operated, and its operation result is made an R component. Next, pixel components indicated in the table number 1 of the input picture S1, S2, and the output picture D are operated. The operated result is made a G component of the output picture D. Finally, pixel components indicated in the table number 2 of the input picture S1, S2. and the output picture D are operated. That is. the G component of the input picture S1 and a B component of the input picture S2 are operated, and the operated result is made a B component of the output picture D.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image processing apparatus for performing processing such as creation, editing, and synthesis of an image, an image calculation method, and an image calculation program for performing processing such as creation, editing, and synthesis of an image. It relates to a recording medium.

[0002]

2. Description of the Related Art Conventionally, image processing such as creation, editing, and synthesis of images using a computer has been performed. For example, as an image processing device using a computer, a television broadcast, a movie image creating device, a CD-RO
Authoring devices such as M and DVD are available.

When image processing is performed by an apparatus using such a computer, image data to be processed is stored in a memory or the like, and the image is stored in the memory by accessing the memory or the like for each pixel. Retrieve data. In general, the data extracted for each pixel is subjected to predetermined arithmetic processing, and the processed data is stored in another memory or another area.

Image data to be processed is stored in a memory as, for example, one data stream in which pixel data continues one by one. Further, one pixel data is
It is composed of one or more pixel components. For example, in the case of pixel data of a color image, R (Red) component and G (Gree
n) and B (Blue) components. Therefore, the image data is stored in the memory as one data stream in which the pixel components are continuous.

[0005] FIG. 14 shows an image Z to be subjected to a calculation process.
3 shows a state in which the image data is stored in the memory. The image data of the image Z is stored in the memory.
Data is continuously stored in the right direction, starting from the upper left pixel of the area delimited by. When the data of the image Z reaches the right end of the area, the data is continuously stored rightward from the left end pixel of the row one pixel below. Then, finally, the lower right pixel (for example, m
Pixel) is stored at the end of the data stream in memory.

[0006] Each pixel of the image data in which data is stored in this manner is composed of three pixel components of an R component, a G component, and a B component. The data capacity of one pixel component is, for example, 1 byte. is there. The image data stored in the memory is assigned an address for each pixel component.
If the address of the R component of the first pixel is n,
The address of the G component of the first pixel is n + 1, and the address of the B component of the first pixel is n + 2. And the next one
The address of the R component of the pixel is n + 3, and the address of the B component of the last pixel of the data stream is n + 3 (m−3).
1) It becomes +2. Conventionally, when image processing of image data stored in a memory is performed as described above, calculation is performed by processing modules divided for each type of calculation. Each processing module accesses the data stored in the memory in the format described above for each pixel, performs a predetermined operation for each pixel accessed, and stores the result in the memory or an external recording medium in the format described above. . Specifically, the contents of the arithmetic processing by the conventional processing module will be described with reference to FIG.
This will be described with reference to the flowchart shown in FIG. Here, in describing the contents of the arithmetic processing of this processing module,
The images to be processed in the image processing are two input images, an input image S1 and an input image S2, and one output image, an output image D. These images have the same resolution, and one pixel data is R It is assumed that the pixel is composed of three pixel components of a component, a G component, and a B component. The content of the arithmetic processing is based on the input image S
It is assumed that one pixel is extracted from each of the two input images S1 and S2, and the pixels of the two input images S1 and S2 are subjected to an operation to be pixels of the output image D.

[0007] When the processing module is instructed to start the arithmetic processing by, for example, a user or the like, the processing module executes the following step S10.
The processing from 1 is started.

In step S101, the variable Count
The variable Counter is initialized by setting ter to 0. This variable Counter indicates the number of pixels that have been subjected to the arithmetic processing.

In step S102, a pointer S1_Ptr indicating the head address of the pixel of the input image S1 in the memory, a pointer S2_Ptr indicating the head address of the pixel of the input image S2 in the memory, and a pointer S2_Ptr of the output image D Dest_Ptr, which is a pointer indicating the head address of the pixel on the memory, is set to the first pixel address of the data stream on the memory of each image. For example, a pointer is set at address n shown in FIG. Here, if one pixel is composed of three pixel components of an R component, a G component, and a B component, for example, the address of the R component is the head address of the pixel.

In the following step S103, the variable Co
It is determined whether the value of unter has exceeded the total number of processed images. That is, it is determined whether the processing has been completed up to the last pixel of the data stream in the memory. The last pixel of the data stream of the memory is, for example, the one shown in FIG.
This is the m-th pixel shown in FIG. This step S103
If it is determined that the value of the variable Counter has exceeded the total number of processed images, the arithmetic processing of this processing module is terminated, and if it is determined that the total number of processed images has not been exceeded, the process proceeds to step S104. .

In the following step S104, the data of the pixel of the input image at the address indicated by the pointers S1_Ptr and S2_Ptr is accessed, a predetermined operation is performed on the pixel data, and the operation result is stored in the pointer D.
est_Ptr is stored at the address indicated by est_Ptr.

Specifically, the following calculation is performed for each pixel component constituting one pixel.

Calculation of R component: * (Dest_Ptr) = * (S1_Ptr) (OP)
* (S2_Ptr) Operation of G component: * (Dest_Ptr + 1) = * (S1_Ptr + 1)
(OP) * (S2_Ptr + 1) Calculation of B component: * (Dest_Ptr + 2) = * (S1_Ptr + 2)
(OP) * (S2_Ptr + 2) Here, (OP) shown by the arithmetic expression indicates the content of the arithmetic processing of this processing module, and includes, for example, addition and subtraction of the input image S1 and the input image S2, Any operation such as multiplication may be used. The operation by one processing module normally performs only one operation, and is, for example, a processing module different from addition and subtraction. Also, * (×××)
Indicates data stored or stored at the address indicated in parentheses.

The address of each pixel component is represented by adding a predetermined offset amount to the pointer. That is, since each pointer indicates the head address of each pixel in the memory, in order to access the address of each pixel component following this head address, the pointer must be offset by a predetermined amount. .

Specifically, the addresses of the R, G, and B pixel components of each image are represented as follows with respect to the pointer.

The address of the R component of the input image S1: S1_Ptr + 0 The address of the G component of the input image S1: S1_Ptr + 1 The address of the B component of the input image S1: S1_Ptr + 2 The address of the R component of the input image S2: S2_Ptr + 0 The G component of the input image S2 Address: S2_Ptr + 1 Address of B component of input image S2: S2_Ptr + 2 Address of R component of output image D: Dest_Ptr + 0 Address of G component of output image D: Dest_Ptr + 1 Address of B component of output image D: Dest_Ptr + 2 Therefore, this processing module is: By accessing the data at the address to which the offset amount has been added in step S104, the operation for each pixel component can be performed.

In the following step S105, the variable Co
Increase the value of unter by one.

In the following step S106, to access the next pixel, each pointer, S1_Ptr, S
Add 3 to 2_Ptr, Dest_Ptr. here,
The pixel to be accessed is updated by adding 3 of each pointer because one pixel is composed of three pixel components of an R component, a G component, and a B component. For example, as shown in FIG. Indicates the address n of the first pixel, then the second pixel having the start address n + 3 is accessed.

Then, the process proceeds from the step S106 to the above-described step S103, and the process proceeds to the step S103 until the variable Counter exceeds the total number of pixels of the image to be processed.
To step S106 are repeated.

As described above, in the conventional processing module, the input image S1 and the input image S2 are calculated, and the output image D
Can be generated. For example, in this conventional processing module, as shown in FIG. 16, the R component of the input image S1 and the R component of the input image S2 are calculated and the R component of the output image D is calculated.
The G component of the input image S1 and the G component of the input image S2 are calculated and stored in the memory as the G component of the output image D, and the B component of the input image S1 and the G component of the input image S2 are stored in the memory. The B component can be calculated and stored in the memory as the B component of the output image D.

[0021]

Incidentally, there is a case where an additional operation function in which a combination of operations of pixel components is changed is added to the above-mentioned conventional processing module which performs image operation.

For example, as a first example in which the combination of the calculation of the pixel components is changed, as shown in FIG.
In some cases, the R component of 1 is operated on the R component, G component, and B component of the input image S2, and the result is stored in a memory as the R component, G component, and B component of the output image D and output. .

Further, as a second example in which the combination of the calculation of the pixel components is changed, as shown in FIG. 18, the R component of the input image S1 is calculated with the G component of the input image S2. May be stored and output as R, G, and B components of the output image D in the memory.

Further, as a third example in which the combination of the calculation of the pixel components is changed, when the input image S1 is a monochrome image as shown in FIG.
The monochrome component of the input image S2 is converted into the R component, the G component,
The result is calculated as the B component, and the result is calculated as the R component of the output image D,
There are cases where the G component and the B component are stored in a memory and output.

For example, as a fourth example in which the combination of the calculation of the pixel components is changed, as shown in FIG. 20, the R component and the G component of the input image S1 are changed to the R component and the G component of the input image S2. The calculation may be performed, and the results may be stored in the memory as the R component and the G component of the output image D, and the B component of the output image D may be output without performing any arithmetic processing.

However, in the conventional processing module, when accessing the pixel component of each pixel, a predetermined offset amount is added to each pointer to access. Therefore, when the above-described functions and the like are added to this processing module, as shown in FIG. 21, step S104 is performed in step S104 to perform the arithmetic processing of the additional functions of the first to fourth examples. 1, step S1
04-2, Step S104-3, Step S104-
4 etc. are added in parallel, and furthermore, step S103-1, which is a judgment processing step of the step added in parallel
Step S103-4 must be added.

Therefore, when such a function is added,
This leads to an increase in the complexity of the processing module, and it is easy for bugs and the like to enter in the programming stage. In addition, since the judgment processing of the step added to the innermost loop of the image calculation processing is included, the processing speed is reduced.

Also, since there are a plurality of processing modules for each type of operation, such steps must be added for each processing module, resulting in an increase in the number and complexity of the processing modules. I will.

The present invention has been made in view of such circumstances, and provides an image processing device, an image processing method, and a recording medium storing these processing programs, which have improved the efficiency of image processing. The purpose is to do.

[0030]

According to an aspect of the present invention, there is provided an image processing apparatus for performing a predetermined calculation between a plurality of input images to generate an output image. An output image address table that specifies each pixel component of the pixels that form the output image is generated based on an optional parameter that specifies a combination of the number of pixel components of the output image and the calculation of the pixel components. The input image address table corresponding to each input image that specifies the pixel components of the pixels of the input image necessary for the calculation of each pixel component is set as an optional parameter that specifies the combination of the number of pixel components and the calculation of the pixel components of each input image. Table generating means for generating a pixel component specified by the input image address table among the plurality of input images for each pixel. The result of this calculation, characterized in that it comprises an arithmetic processing means for outputting as the pixel component designated by the output image address table.

In this image processing device, an output image address table and an input image address table corresponding to each input image are generated, and each image is calculated based on each image address table.

An image calculation method according to the present invention is an image calculation method for performing a predetermined calculation between a plurality of input images to generate an output image, wherein an output for designating each pixel component of pixels constituting the output image is provided. An image address table is generated based on the number of pixel components of the output image and an optional parameter that specifies a combination of the pixel component operations, and the pixels of the input image necessary for the operation of each pixel component of the pixels constituting the output image An input image address table corresponding to each input image that specifies the pixel components of the input image is generated based on an optional parameter that specifies a combination of the number of pixel components and the calculation of the pixel components of each input image. The pixel component specified by the input image address table is calculated for each pixel, and the calculation result is specified by the output image address table. And outputs as pixel component.

In this image calculation method, an output image address table and an input image address table corresponding to each input image are generated, and each image is calculated based on each image address table.

A recording medium according to the present invention is a recording medium storing an image operation program for performing a predetermined operation between a plurality of input images to generate an output image, and each of the pixels constituting the output image is provided. An output image address table that specifies a pixel component is generated based on an optional parameter that specifies a combination of the number of pixel components of the output image and the calculation of the pixel component. An input image address table corresponding to each input image that specifies a pixel component of a required input image pixel is generated based on an optional parameter that specifies a combination of the number of pixel components of each input image and a calculation of the pixel component. A pixel component specified by the input image address table is calculated for each pixel between the input images of the above, and the calculation result is output to the output image address. Wherein the image calculation program for performing processing of outputting a pixel component that is specified by less table is stored.

In this recording medium, the stored image processing program generates an output image address table and an input image address table corresponding to each input image, and calculates each image based on each image address table.

[0036]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An image processing apparatus according to an embodiment of the present invention will be described below with reference to the drawings.

As shown in FIG. 1, an image processing device 10 according to the embodiment is obtained by a central processing unit (CPU) 11, a program memory 12 storing a processing program of the CPU 11, and a process of the CPU 11. A table memory 13 for storing an address table and the like, and an image memory 1 for storing a plurality of input image data to be calculated
And 4.

The image memory 14 has an address bus (Addres
s Bus) and a data bus (Data Bus) are connected via the CPU 11. The image memory 14 includes, for example, a plurality of semiconductor memories and stores image data.
The image memory 14 has a sufficient storage area for storing a plurality of image data, and stores a plurality of input image data and output image data to be subjected to arithmetic processing. For example, the image memory 14 has n pieces of input image data S1 to S1.
Sn and output image data D are stored. The image data stored in the image memory 14 is input from various image input devices such as a scanner and a camera device via an input / output port, and is output to various image output devices such as a monitor. In the present embodiment, the image memory 1
4 is described as being composed of a semiconductor memory or the like, but the present invention is not limited to this, and any recording medium that can store image data may be used. And so on.

The image data stored in the image memory 14 is stored in the memory as, for example, one data stream in which pixel data is continuous one by one. further,
One pixel data is composed of one or more pixel components. For example, in the case of color image data, R (Red)
Component, a G (Green) component, and a B (Blue) component. Therefore, the image data is stored in the memory as one data stream in which the pixel components are continuous. Note that the pixel components forming one pixel are not limited to the R component, the G component, and the B component, and may include, for example, an α component indicating the transparency of an image.

The input images S1 to Sn to be processed are
The state in which the image data of the output image D is stored in the memory is the same as that described with reference to FIG.

The CPU 11 receives an option parameter, which is an input command from a user or the like, and attribute information of each image.

An optional parameter is an instruction command for designating a combination of pixel component operations. For example, the optional parameter is supplied from a user or the like via a GUI (Graphical User Interface) or supplied from an external device together with input image data. Or be done. The contents of the optional parameters are, for example, a command for instructing a combination of pixel component calculations in the examples shown in FIGS. 16 to 20 and a command for instructing any other combination of pixel components. Further, the combination of the pixel components is not limited to the three components of the R, G, and B components, and may be a combination that includes an α component representing transparency. The attribute information of each image is information on the total number of pixel components constituting each pixel of the input image and the output image, information on the storage position of the pixel component on the memory, information on the total number of pixels of each image, and the like. The attribute information of the image is supplied, for example, from a user or the like, or supplied together with the input image when the input image is supplied from an external device, or
The CPU 11 analyzes and acquires image data stored in the memory 14.

Then, the CPU 11 reads out a processing module stored as a program in the program memory 12, and performs an image calculation process based on the processing module. Further, the CPU 11 creates an address table or the like, which will be described in detail later, based on the processing module, and stores the address table in the table memory 13. In addition, the processing module that performs the arithmetic processing of the image includes:
It may be constituted by a software program or the like. For example, PGA (Programmable Gate Array) or D
A hardware configuration such as an SP (Digital Signal Processor) may be used.

Next, the contents of the image calculation processing of the image calculation device 10 will be described. Here, in describing the content of the arithmetic processing of this processing module, the images to be processed by the image processing are two of the input image S1 and the input image S2.
One output image of the input image and one output image D,
The resolution of each image is the same. One pixel data of each image is composed of three pixel components of an R component, a G component, and a B component. The content of the arithmetic processing is that one pixel is extracted from each of the two input images of the input image S1 and the input image S2, and an operation is performed on the pixels of the two input images to obtain a pixel of the output image D. I do.

In performing the image calculation, the image calculation device 10 creates an address table corresponding to each of the input image S1, the input image S2, and the output image D, and sets the effective number of pixel components to be subjected to image processing. A process for calculating the number of pixel components is performed. First, before describing the details of the arithmetic processing performed by the image arithmetic device 10, the address table and the contents of the effective pixel components will be described.

An address table is created for each input / output image. Therefore, one address table is created for each of the input image S1, the input image S2, and the output image D. Specifically, the address table is represented as shown in FIG. 2 and has at least one table number, and indicates a pixel component parameter for designating a pixel component corresponding to the table number.

The table number of this address table is
As many as the number of pixel components constituting the pixels of the output image are provided. For example, if the output image is a monochrome image, the table number is only 0, and the pixel components of the output image are R, G, and B.
If there are three components, the table numbers are 0 to 2, and if the α component is added to them, the table numbers are 0 to 3. In this example, since the output image is composed of three pixel components of R, G, and B components, the table numbers are 0 to 2.

The pixel component parameter of the address table specifies a pixel component corresponding to each table number. Therefore, when each image is composed of three pixel components of R, G, and B components, these R, G, and B are indicated as pixel component parameters.

A specific example of performing an operation using an address table will be described with reference to FIGS.

For example, as a first operation example, FIG.
As shown in (a), the R component of the input image S1 is calculated as the R component of the input image S2, the result is output as the R component of the output image D, and the G component of the input image S1 is converted to the input image S2.
, And outputs the result as the G component of the output image D. The B component of the input image S1 is calculated as the B component of the input image S2.
In some cases, the result is output as the B component of the output image D after calculating the component.

In the case of this first operation example, as shown in FIG. 3B, the address table S1_T of the input image S1
bl is a table having three table numbers from 0 to 2. The table number 0 indicates the R component, the table number 1 indicates the G component, and the table number 2 indicates the B component. Also,
The address table S2_Tbl of the input image S2 is composed of three tables with table numbers 0 to 2, with the table number 0 indicating the R component, the table number 1 indicating the G component, and the table number 2 indicating the B component. The address table D_Tbl of the output image D is a table having three table numbers from 0 to 2. The table number 0 indicates the R component, the table number 1 indicates the G component, and the table number 2 indicates the B component.

When the calculation is performed using such a table, first, the pixel component indicated by the table number 0 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, each R component of the input image S1 and the input image S2 is calculated, and the calculation result is calculated as the R component of the output image D.
Ingredients.

Subsequently, the pixel component indicated by the table number 1 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the G components of the input image S1 and the input image S2 are calculated, and the calculation result is used as the G component of the output image D.

Finally, the pixel components indicated by table number 2 of each table of the input image S1, the input image S2, and the output image D are calculated. That is, the respective B components of the input image S1 and the input image S2 are calculated, and the calculation result is used as the B component of the output image D.

Therefore, by performing an operation using this address table, the R component, the G component,
The calculation can be performed in correspondence with the B component and the R, G, and B components of the input image S2, and the result can be output as the R, G, and B components of the output image D.

For example, as a second calculation example, as shown in FIG. 4A, the G component of the input image S1 is calculated with each of the R, G, and B components of the input image S2. In some cases, the result is output as the R, G, and B components of the output image D. In the case of the second calculation example, as shown in FIG. 4B, the address table S1_Tbl of the input image S1 has three tables with table numbers 0 to 2, and the table number 0 has a G component, The table number 1 shows the G component, and the table number 2 shows the G component. Further, the address table S2 of the input image S2
_Tbl is three tables having table numbers 0 to 2, and table number 0 has an R component and table number 1
Shows the G component, and Table No. 2 shows the B component. The address table D_Tbl of the output image D is a table having three table numbers from 0 to 2. The table number 0 indicates the R component, the table number 1 indicates the G component, and the table number 2 indicates the B component.

When the calculation is performed using such a table, first, the pixel component indicated by the table number 0 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the G component of the input image S1 and the input image S
2 is calculated, and the calculation result is used as the R component of the output image D.

Subsequently, a pixel component indicated by table number 1 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the G component of the input image S1 and the G component of the input image S2 are calculated, and the calculation result is used as the G component of the output image D.

Finally, the pixel component indicated by table number 2 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the G component of the input image S1 and the B component of the input image S2 are calculated, and the calculation result is used as the B component of the output image D.

Therefore, by performing an operation using this address table, the G component of the input image S1 is operated on each of the R, G, and B components of the input image S2, and the result is output to the output image D. Can be output as the R component, the G component, and the B component. For example, as a third calculation example, as shown in FIG. 5A, the R component of the input image S1 is calculated with the G component of the input image S2, and the result is calculated as the R component of the output image D. , G component, and B component in some cases.

In the case of the third operation example, as shown in FIG. 5B, the address table S1_T of the input image S1
bl is a table having three table numbers from 0 to 2. The table number 0 indicates the R component, the table number 1 indicates the R component, and the table number 2 indicates the R component. Also,
The address table S2_Tbl of the input image S2 is a table having three table numbers from 0 to 2. The table number 0 indicates the G component, the table number 1 indicates the G component, and the table number 2 indicates the G component. The address table D_Tbl of the output image D is a table having three table numbers from 0 to 2. The table number 0 indicates the R component, the table number 1 indicates the G component, and the table number 2 indicates the B component.

When the calculation is performed using such a table, first, the pixel component indicated by the table number 0 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the R component of the input image S1 and the input image S
2 is calculated, and the calculation result is used as the R component of the output image D.

Subsequently, the pixel component indicated by table number 1 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the R component of the input image S1 and the G component of the input image S2 are calculated, and the calculation result is used as the G component of the output image D.

Finally, the pixel component indicated by table number 2 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the R component of the input image S1 and the G component of the input image S2 are calculated, and the calculation result is used as the B component of the output image D.

Therefore, by performing an operation using this address table, the R component of the input image S1 is calculated as the G component of the input image S2, and the result is used as the R, G, and B components of the output image D. It can be output as a component.

For example, as a fourth operation example, as shown in FIG. 6A, when the input image S1 is a monochrome image, an M component which is an image component of the input image S1 is input. The R, G, and B components of the image S2 may be calculated, and the result may be output as the R, G, and B components of the output image D.

In the case of the fourth operation example, as shown in FIG. 6B, the address table S1_T of the input image S1
bl is a table having three table numbers from 0 to 2. The table number 0 indicates the M component, the table number 1 indicates the M component, and the table number 2 indicates the M component. Also,
The address table S2_Tbl of the input image S2 is composed of three tables with table numbers 0 to 2, with the table number 0 indicating the R component, the table number 1 indicating the G component, and the table number 2 indicating the B component. The address table D_Tbl of the output image D is a table having three table numbers from 0 to 2. The table number 0 indicates the R component, the table number 1 indicates the G component, and the table number 2 indicates the B component.

When the calculation is performed using such a table, first, the pixel component indicated by the table number 0 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the M component of the input image S1 and the input image S
2 is calculated, and the calculation result is used as the R component of the output image D.

Subsequently, the pixel component indicated by the table number 1 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the M component of the input image S1 and the G component of the input image S2 are calculated, and the calculation result is used as the G component of the output image D.

Finally, the pixel components indicated by table number 2 of each table of the input image S1, the input image S2, and the output image D are calculated. That is, the M component of the input image S1 and the B component of the input image S2 are calculated, and the calculation result is used as the B component of the output image D.

Accordingly, by performing an operation using this address table, if the input image S1 is a monochrome image, the monochrome component of the input image S1 is replaced with the R, G, and B components of the input image S2. The calculation can be performed, and the result can be output as the R, G, and B components of the output image D.

For example, as a fifth calculation example, as shown in FIG. 7A, the R and G components of the input image S1 are calculated as the R and G components of the input image S2.
The result is output as the R component and the G component of the output image D,
The B component of the output image D may be output without performing any arithmetic processing.

In the case of the fifth operation example, as shown in FIG. 7B, the address table S1_T of the input image S1
bl is a table having three table numbers from 0 to 2. The table number 0 indicates the R component, the table number 1 indicates the G component, and the table number 2 indicates nothing. Further, the address table S2_Tb of the input image S2
l is a table having three table numbers from 0 to 2, with a G component for table number 0 and a G component for table number 1
The components are shown, and nothing is specifically shown in Table No. 2. The address table D_Tbl of the output image D is composed of three tables with table numbers from 0 to 2. The table number 0 indicates the R component, the table number 1 indicates the G component, and the table number 2 indicates nothing. . It should be noted that the table number 2 of each address table does not particularly indicate anything. However, for example, an arbitrary pixel component parameter may be indicated.

When the calculation is performed using such a table, first, the pixel component indicated by the table number 0 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the R component of the input image S1 and the input image S
2 is calculated, and the calculation result is used as the R component of the output image D.

Subsequently, the pixel component indicated by the table number 1 of each table of the input image S1, the input image S2, and the output image D is calculated. That is, the G component of the input image S1 and the G component of the input image S2 are calculated, and the calculation result is used as the G component of the output image D.

Then, the arithmetic processing of the pixel components shown in Table No. 2 is not performed.

Here, the determination that the pixel components shown in Table No. 2 should not be performed is made based on the number of effective pixel components. The effective pixel component is the number of pixel components to be subjected to arithmetic processing, out of the total number of pixel components of the output image. In this case, the total number of pixel components is three.
However, the number of effective pixel components is two.

Therefore, by performing an operation using this address table, the R component and the G component of the input image S1 are calculated with the R component and the G component of the input image S2, and the result is converted into the R component of the output image D. And the G component, and the B component of the output image D can be output without performing any arithmetic processing.

As described above, the arithmetic processing unit 10 performs various operations by obtaining such an address table and effective pixel components and using them for the operations.

In the arithmetic processing device 10, such a pixel component parameter is used to indicate the address of the image memory 14 in which the pixel component to be operated is stored when performing the arithmetic processing. Therefore, as shown in FIG. 8, the pixel component parameter can be represented by an offset amount with respect to the head address of each pixel, that is, the address indicated by the pointer. That is, since image data is stored in the image memory 14 as shown in FIG. 14 described above, the offset amount with respect to the pointer can be represented by 0 for the R component, and the offset amount can be represented by the pointer for the G component. On the other hand, the offset amount can be represented by 1, and in the case of the B component, the offset amount can be represented by 0 with respect to the pointer. Hereinafter, the pixel component parameters of the address table are shown as offset amounts of the address pointer.

In this specification, the expressions shown in the following expressions (1) and (2) are used as expressions representing the address table.

Input image S1: S1_Tbl [X, Y, Z] Input image S2: S2_Tbl [X, Y, Z] Output image D: Dest_Tbl [X, Y, Z] (1) Input image S1: S1_Tbl {A} Input image S2: S2_Tbl {A} Output image D: Dest_Tbl {A} (2) In the expression shown in Expression (1), pixel component parameters or offset amounts excluding the table number in the address table Only shows. That is, in the equation (1), X is indicated in the table number 0, Y is indicated in the table number 1, and Z is indicated in the table number 2.

The expression shown in equation (2) indicates a pixel component parameter or an offset amount of a predetermined table number in the address table. That is, the equation (2) indicates the pixel component parameter or the offset amount shown in the table number A. Therefore, "S1_Tbl {0}"
= 1 ", the table number 0 of the input image S1
Means that the offset amount 1 has been input to.

Next, the processing performed by the CPU 11 of the arithmetic processing unit 10 will be described with reference to flowcharts.

The calculation process by the image calculation device 10 is shown in FIG.
As shown in (1), an address table corresponding to each of the input image S1, the input image S2, and the output image D is created, and a process of obtaining the number of effective pixel components, which is the number of pixel components to be subjected to image processing, is performed. A step S2 of executing an image process of calculating the input image S1 and the input image S2 to obtain an output image D based on the address table and the effective pixel components obtained in the step S1.
Consists of Steps S1 and S2 are separated in processing. After the address table and the like are created in step S1, the image processing in step S2 is executed independently of the processing in step S1. In the processing of step S1 described above, the processing of steps S11 to S14 shown in the flowchart of FIG. 10 is performed.

First, in step S11, the address table of each image is initialized. Here, the initial value of each address table is, for example, S1 that has not been converted.
_Tbl [0, 1, 2], S2_Tbl [0, 1,
2] and Dest_Tbl [0, 1, 2]. In addition,
The value of the table number of this address table varies according to the number of output pixel components. For example, if an α component is added in addition to the R, G, B components, the initial value of each table is [0,
1, 2, 3].

In the following step S12, the address table S1_Tbl corresponding to the input image S1 is set based on the option parameters specified by the user and the like and the number of pixel components of the output image.

Similarly, in step S13, the address table S2_Tbl corresponding to the input image S2 is set based on the optional parameters specified by the user and the like and the number of pixel components of the output image.

Finally, in step S14, the address table Dest_Tbl corresponding to the output image D is set based on the option parameters specified by the user and the like and the number of pixel components of the output image.

The setting of the address table and the like for each image may be such that, for example, a table created in advance is selected according to a combination of pixel components.
In this case, a selection command is supplied from a user or the like as an optional parameter. Further, a user or the like may directly input an offset value or a pixel component parameter to each address table.

An example of the processing in steps S12, S13, and S14 will be described with reference to the flowcharts shown in FIGS. Each example shows a case where the combination of the pixel components to be operated sets the address table for the first to fifth operation examples shown in FIG. 3, FIG. 4, FIG. 6, or FIG. . Further, since the processing in step S12 and step S13 are almost the same, only the processing in step S12 will be described, and the detailed description of the processing in step S13 will be omitted.

The processing in step S12 described above is shown in the flowchart of FIG.

In step S21, it is determined whether or not the number of pixel components of the input image S1 is one. That is, it is determined whether or not the input image S1 is a monochrome image. If the number of pixel components of the input image S1 is 1, in step S22, the offset value of the address table of the input image S1 is set to S1_Tbl [0, 0, 0], and the process ends. If the number of pixel components of the input image S1 is not 1, the process proceeds to step S23.

In step S23, it is determined whether or not the R component is used for calculating another image component based on an optional parameter from the user or the like. If it is determined that the R component is to be used for calculation of another image component, in step S24, the offset value of the address table of the input image S1 is set to S1_Tbl [0, 0, 0], and the process ends. If it is determined that the R component is not used for calculating other image components, the process proceeds to step S25.

In step S25, it is determined whether or not the G component is to be used for calculating another image component based on an optional parameter from the user or the like. If it is determined that the G component is to be used for calculation of another image component, in step S26, the offset value of the address table of the input image S1 is set to S1_Tbl [1, 1, 1], and the process ends. If it is determined that the G component is not used for calculating other image components, the process proceeds to step S27.

In step S27, it is determined whether or not the B component is to be used for calculating another image component based on an optional parameter from the user or the like. If it is determined that the B component is to be used for calculation of another image component, in step S28, the offset value of the address table of the input image S1 is set to S1_Tbl [2, 2, 2], and the process ends. When it is determined that the G component is not used for the calculation of other image components, that is, in the case of normal processing, the offset value of the address table is set to S1_Tbl.
The process ends with the initial value of [0, 1, 2].

By the processing of steps S21 to S28, the processing of the combination of the image components in the first, second, and fourth calculation examples shown in FIGS. 3, 4, and 6 can be performed.

Subsequently, the processing in step S13 is shown in the flowchart of FIG.

In step S31, the variable num is set to 0
To initialize this variable num. This variable n
um represents an effective image component of the output image D.

When the variable num has been initialized, it is determined in step S32 whether the number of pixel components of the output image D is one. That is, it is determined whether or not the output image D is a monochrome image. If the number of pixel components of the output image D is 1, the offset value of the table number 0 of the address table of the output image D is set to Dest_Tbl {0} = 0 in step S33.
The variable num is set to 1 and the process ends. Output image D
If the number of pixel components is not 1, the process proceeds to step S34.

In step S34, it is determined whether or not to output the calculation result of the R component of the output image D based on optional parameters from the user or the like. When it is determined that the calculation result is output to the R component of the output image D,
In step S35, the following calculation is performed, and the process proceeds to step S36.

Dest_Tbl ｛num｝ = 0 S1_Tbl ｛num｝ = S1_Tbl ｛0｝ S2_Tbl ｛num｝ = S2_Tbl ｛0｝ num = num + 1 Also, when it is determined that the calculation result is not output to the R component of the output image D, The process proceeds to step S36 without performing any processing.

In step S36, it is determined whether or not to output the calculation result of the G component of the output image D based on optional parameters from the user or the like. If it is determined that the calculation result is output to the G component of the output image D,
In step S37, the following calculation is performed, and the process proceeds to step S38.

Dest_Tbl {num} = 1 S1_Tbl {num} = S1_Tbl {1} S2_Tbl {num} = S2_Tbl {1} num = num + 1 When it is determined that the calculation result is not output to the G component of the output image D, The process proceeds to step S38 without performing any processing.

In step S38, it is determined whether or not to output the calculation result of the B component of the output image D based on an optional parameter from the user or the like. When it is determined that the calculation result is output to the B component of the output image D,
In step S39, the following calculation is performed, and the process ends.

Dest_Tbl {num} = 2 S1_Tbl {num} = S1_Tbl {2} S2_Tbl {num} = S2_Tbl {2} num = num + 1 If it is determined that the calculation result is not output to the G component of the output image D, , And the process ends.

By performing the above processing, the variable num representing the number of effective pixel components of the output image D is updated in steps S35, S37, and S39, and the number of effective pixel components is obtained. Then, the address table of the input image S1 and the input image S2 can be changed so as to correspond to the number of effective pixel components. Therefore, the processing of the combination of the image components in the case of the first and fifth calculation examples shown in FIGS. 3 and 7 can be performed.

Next, FIG. 13 is a flowchart showing the contents of the image processing execution processing in step S2 in FIG. 9 described above.

In step S2, the address tables of the input images S1 and S2 and the output image D obtained in step S1 have been created, and the number of effective pixel components has been obtained as a variable num.

In step S41, the variable Count
er is set to 0, and this variable Counter is initialized. This variable Counter indicates the number of pixels that have been subjected to the arithmetic processing.

In the following step S42, the input image S
S1_Ptr which is a pointer indicating the head address of one pixel in the memory, S2_Ptr which is a pointer indicating the head address of the pixel of the input image S2 in the memory, and a pointer which indicates the head address of the pixel of the output image D in the memory Is set as the first pixel address of the data stream on the memory of each image. For example, a pointer is set at address n shown in FIG. Here, if one pixel is composed of three pixel components of an R component, a G component, and a B component, for example, the address of the R component is the head address of the pixel.

In the following step S43, variable Cou
It is determined whether the value of “inter” exceeds the total number of processed images. That is, it is determined whether the processing has been completed up to the last pixel of the data stream in the memory. The last pixel of the data stream of the memory is, for example, the one shown in FIG.
Is the m-th pixel shown in FIG. In this step S43,
When it is determined that the value of the variable Counter has exceeded the total number of processed images, the arithmetic processing of this processing module is terminated. When it is determined that the value does not exceed the total number of processed images, the process proceeds to step S44.

In the following step S44, variable I is set to 0.
Set to.

In the following step S45, this variable I
Is compared with the number of effective pixel components num to determine whether or not the variable I exceeds the number of effective pixel components num. When it is determined that the variable I has exceeded the number of effective pixel components num, the process proceeds to step S48, and when it is determined that the variable I does not exceed the number of effective pixel components num, the process proceeds to step S46.

At the step S46, the pointer S1_
Ptr, S2_Ptr include S1_Tbl {I} and S2_
The data of the pixel of the input image at the address to which the offset amount indicated by Tbl {I} is added is accessed, a predetermined operation is performed on the data, and the operation result is stored in the pointer Dest.
_Ptr is added to the address obtained by adding the offset amount indicated by Dest_Tbl {I}.

More specifically, the following operation is performed.

* (Dest_Ptr + Dest_Tbl)
{I}) = * (S1_Ptr + S1_Tbl {I})
(OP) * (S2_Ptr + S2_Tbl {I}) Here, (OP) shown by the operation expression indicates the operation content of this processing module. For example, the input image S
Any operation such as addition, subtraction, and multiplication of 1 and the input image S2 may be used. The operation by one processing module normally performs only one operation, and is, for example, a processing module different from addition and subtraction. * (Xxx) is
The data on the memory stored or stored at the address shown in parentheses is shown.

In the following step S47, 1 is added to I, and the processing from step S35 is repeated.

Therefore, if the number of effective pixel components is three, that is, the R component, the G component, and the B component, the above processing of steps S45 to S47 is repeated three times. At this time, the arithmetic expression shown in step S38 has the same content no matter which pixel component is calculated. Furthermore, as long as the contents of the address table are changed, calculations with different combinations of pixel components can be performed. Also, in steps S45 to S4, the number of effective pixel components is equal to the number of effective pixel components.
Since the calculation of the loop of No. 7 is performed, the calculation process is not performed on the pixel component for which the calculation is not performed.

On the other hand, in step S48, to access the next pixel, each pointer, S1_Ptr, S
The total number of pixel components of one pixel is added to 2_Ptr and Dest_Ptr. Pixels of each image are R component, G component,
If the pixel is composed of three pixel components of the B component, 3 is added. For example, as shown in FIG. 14, if the pointer indicates the address n of the first one pixel, then the second pixel having the start address of n + 3 is accessed.

In step S49, the variable Count
Increment the value of er by one.

Then, the process proceeds from step S49 to step S43 described above, and the processes from step S43 to step S49 are repeated until the variable Counter exceeds the total number of pixels of the image to be processed.

As described above, the image calculation device 10 obtains the address table and the number of effective pixel components corresponding to each input / output image, and calculates each image based on the address table and the number of effective image components.

As a result, in the arithmetic processing unit 10,
The processing for creating the address table and the operation for each image can be separated, and the processing efficiency is improved. In addition, it is easy to change the combination of operations of each pixel component, and even if the combination of operations of each pixel component is changed, the content of the arithmetic processing does not change and the processing speed does not decrease.
Further, even if the arithmetic processing means having different contents of the arithmetic processing is used, there is no need to change the processing contents of the table creation, and the processing is not complicated.

[0125]

The image processing apparatus according to the present invention generates an output image address table and an input image address table corresponding to each input image, and calculates each image based on each of the image address tables.

As a result, in the arithmetic processing device according to the present invention, the processing for creating each address table and the arithmetic for each image can be separated, and the processing efficiency is improved. Also,
It is easy to change the combination of operations of each pixel component, and even if the combination of operations of each pixel component is changed, the content of the arithmetic processing does not change and the processing speed does not decrease. Further, even if the arithmetic processing means having different contents of the arithmetic processing is used, it is not necessary to change the processing contents of the table generating means, and the processing is not complicated.

Further, in the image processing device according to the present invention, the calculation is performed for each pixel by the number of effective pixel components.
The processing speed can be increased.

In the image calculation method according to the present invention, an output image address table and an input image address table corresponding to each input image are generated, and each image is calculated based on each of the image address tables.

As a result, in the arithmetic processing method according to the present invention, the processing for creating each address table and the arithmetic for each image can be separated, and the processing efficiency is improved. Also,
It is easy to change the combination of operations of each pixel component, and even if the combination of operations of each pixel component is changed, the content of the arithmetic processing does not change and the processing speed does not decrease. Further, even if the arithmetic processing having different contents of the arithmetic processing is performed, it is not necessary to change the processing contents of the table generation, and the processing is not complicated.

Further, in the image calculation method according to the present invention, the calculation is performed for each pixel by the number of effective pixel components.
The processing speed can be increased.

In the recording medium according to the present invention, the stored image processing program generates an output image address table and an input image address table corresponding to each input image.
The calculation of each image is performed based on each image address table.

As a result, in the recording medium according to the present invention, the process of creating each address table and the operation of each image can be separated, and the processing efficiency is improved. In addition, it becomes easy to change the combination of operations of each pixel component,
Furthermore, even if the combination of calculations for each pixel component is changed, the content of the calculation processing does not change and the processing speed does not decrease. Further, even if the arithmetic processing having different contents of the arithmetic processing is performed, it is not necessary to change the processing contents of the table generation, and the processing is not complicated.

Further, in the recording medium according to the present invention, the stored image processing program performs an operation for each pixel by the number of effective pixel components, whereby the processing speed can be increased.

[Brief description of the drawings]

FIG. 1 is a block diagram of an image processing apparatus according to an embodiment of the present invention.

FIG. 2 is a diagram showing an address table created by the image processing device.

FIG. 3 is a diagram showing the content of image processing performed by the image processing apparatus.

FIG. 4 is a diagram showing the content of image processing performed by the image processing device.

FIG. 5 is a diagram showing the content of image processing performed by the image processing apparatus.

FIG. 6 is a diagram illustrating the content of image processing performed by the image processing apparatus.

FIG. 7 is a diagram showing a content of an image calculation process of the image calculation device.

FIG. 8 is a diagram showing an address table created by the image processing device.

FIG. 9 is a flowchart showing processing contents of the image processing device.

FIG. 10 is a flowchart showing processing contents of the image processing device.

FIG. 11 is a flowchart showing the processing content of the image processing device.

FIG. 12 is a flowchart showing the processing content of the image processing device.

FIG. 13 is a flowchart showing processing contents of the image processing device.

FIG. 14 is a diagram illustrating a data stream when image data in which a pixel component is composed of an R component, a G component, and a B component is stored in a memory.

FIG. 15 is a flowchart showing the processing content of a conventional arithmetic processing module.

FIG. 16 is a diagram showing the content of an image calculation process.

FIG. 17 is a diagram showing the content of image processing.

FIG. 18 is a diagram illustrating the content of an image processing process.

FIG. 19 is a diagram illustrating the content of image processing.

FIG. 20 is a diagram illustrating the content of image processing.

FIG. 21 is a flowchart showing the processing content of a conventional arithmetic processing module.

[Explanation of symbols]

Reference Signs List 10 image processing device, 11 central processing unit, 12 program memory, 13 table memory, 14 image memory

Claims (9)

[Claims] 1. An image processing apparatus for performing a predetermined operation between a plurality of input images to generate an output image, comprising: an output image address table for specifying each pixel component of pixels constituting the output image; Generated based on an optional parameter that specifies the combination of the number and the operation of the pixel component, and corresponding to each input image that specifies the pixel components of the input image necessary for the operation of each pixel component of the pixels that constitute the output image Input image address table
A table generating means for generating based on an optional parameter designating a combination of the number of pixel components of each input image and a calculation of the pixel component; and a pixel component designated by the input image address table among the plurality of input images for each pixel. And an operation processing means for outputting the operation result as a pixel component designated by the output image address table. 2. The apparatus according to claim 1, wherein said table generation means generates the output image address table and the input image address table indicating an offset amount with respect to a head address of each pixel and designating a pixel component. The image processing apparatus according to claim 1. 3. The table generating means, based on the number of pixel components of the output image and the optional parameter, the number of valid pixel components to be calculated among the pixel components of the output image,
2. The arithmetic processing device according to claim 1, wherein an output image address table for designating only the effective pixel components is generated, and the arithmetic processing means performs an arithmetic operation for each pixel by the number of the effective pixel components. . 4. An image calculation method for generating an output image by performing a predetermined calculation between a plurality of input images, the output image address table designating each pixel component of pixels constituting the output image, comprising: Each of which is generated based on the number of pixel components of the input image and an optional parameter that specifies a combination of the pixel component operations, and also specifies the pixel components of the input image pixels necessary for the operation of each pixel component of the pixels constituting the output image. An input image address table corresponding to the input image is generated based on an optional parameter that specifies a combination of the number of pixel components and a calculation of the pixel component of each input image, and is specified by the input image address table among the plurality of input images. The calculated pixel component is calculated for each pixel, and the calculation result is output as the pixel component specified by the output image address table. Image operations wherein the door. 5. The image calculation method according to claim 4, wherein the output image address table and the input image address table for designating a pixel component by indicating an offset amount with respect to a head address of each pixel are generated. 6. An output image address table for designating only the number of effective pixel components to be calculated among the pixel components of the output image based on the number of pixel components of the output image and the optional parameters. 5. The image calculation method according to claim 4, wherein the calculation is performed for each pixel by the number of the effective pixel components. 7. A recording medium storing an image calculation program for performing a predetermined calculation between a plurality of input images and generating an output image, wherein the output specifies each pixel component of pixels constituting the output image. An image address table is generated based on the number of pixel components of the output image and an optional parameter that specifies a combination of the pixel component operations, and the pixels of the input image necessary for the operation of each pixel component of the pixels constituting the output image An input image address table corresponding to each input image that specifies a pixel component of the input image is generated based on an optional parameter that specifies a combination of the number of pixel components of each input image and a calculation of the pixel component. The pixel component specified by the input image address table is calculated for each pixel, and the calculation result is specified by the output image address table. Recording medium on which an image calculation program for performing a process of outputting a pixel component that is is characterized in that it is stored. 8. An image calculation program for performing a process of generating the output image address table and the input image address table for designating a pixel component by indicating an offset amount with respect to a head address of each pixel is stored. The recording medium according to claim 7, wherein 9. An output image address table for designating only the number of effective pixel components to be calculated among the pixel components of the output image based on the number of pixel components of the output image and the optional parameters. 8. A recording medium according to claim 7, wherein an image operation program for generating the image data and performing an operation for each pixel by the number of the effective pixel components is stored.