JP2899168B2 - Image data operation method and image data operation device - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to image data for controlling image data changing processing using a reflection model representing image data of an object portion in an image when the color of the object included in the image is changed. The present invention relates to an operation method and an image data operation device.

When designing posters and merchandise with a computer-based design system and when creating computer graphics, a color image obtained by reading an original such as a photograph or an object portion included in the created color image is colored. And size and shape,
In many cases, a process of combining with another image is performed. Further, it is also necessary to change the glossiness and texture of the surface of the object in order to simulate a case where the material is changed. The same processing is also widely used in desktop publishing systems, printing original plate creation systems, and the like.

[0003] In such a computer system, it is necessary to obtain a high-quality image which does not cause unnaturalness to human vision by performing processing such as change of color, shape and surface properties with high accuracy. At the same time, there is a need to reduce the time required for these processes. There is also a demand for a simple and easy-to-use computer-to-human interface (human interface).

[0004]

2. Description of the Related Art As a method of changing the color of an object in an image, there is a method of changing the hue value of the color of each pixel of the object according to the designation of a color by an operator. In this case, the image data of each pixel is converted in advance to a color system using hue, saturation, and brightness as indices, and the hue value is changed.
The image data may be converted to the RGB color system and used for display on a display device or the like.

According to this method, the color of an object can be changed while preserving the surface properties such as the glossiness of the object. In addition, a color palette for specifying a target color is displayed on the display device, and the operator can easily specify the target color by a position on the screen where a desired color is displayed with a mouse or a light pen. , A simple human interface has been realized.

There is another method of changing the color of an object using a simple reflection model. On the other hand, as a method of changing the property of the surface of the object, there is a method in which an image of an object having a different material is input and held in advance, and is replaced with a part of the object cut out from the image to be processed.

[0007]

By the way, as described above, the method of changing the hue value of an object aims at changing the color of the object, and it is not possible to change the properties of the surface of the object. could not. Also, if you change the saturation or brightness to fine-tune the color of an object, shadows may become whitish or glossy, and the processed image may become unnatural. there were.

Similarly, even when a method using a simple reflection model is applied, the properties of the surface of the object cannot be changed. On the other hand, if a method of inputting an image of an object having a different material or color and replacing it with an image of a part of the object is used, both the color of the object and the properties of the surface can be changed. However, in this case, it is necessary to prepare an image of the object having the changed color or material in advance, and the preparation is time-consuming. In addition, the selection range of the characteristics such as the material and the color is limited to the characteristics of the object in the prepared image.

As a technique for solving these problems and obtaining an image perceived as a natural image by human vision while freely changing the color and surface properties of an object, the present applicant has already proposed And Japanese Patent Application No. 3-195326, entitled "Color Image Control Method".

In this technique, image data of a part of an object is represented using a reflection model that takes into account the color of the object itself (hereinafter, referred to as the object color) and the colors of illumination light and secondary reflected light from the surroundings. , Illumination light, and secondary reflected light, and the coefficients corresponding to the vectors representing these colors can be independently changed.

In the above-described reflection model, the image data (R ₀ , G ₀ , B ₀ ) is based on the object color vector (R _d , G
_d , B _d ), the illumination light vector (R _s , G _s , B _s ) and the secondary reflected light vector (R _a , G _a , B _a ), and the coefficients K ₁ , K ₂ corresponding to these vectors, respectively. , K _3, and is represented as an equation.

[0012]

(Equation 01)

Here, coefficients K ₁ ,
K ₂ and K ₃ are determined by the diffuse reflection characteristics, the specular reflection characteristics, the surface roughness, and the line of sight of the observer at each position of the object, and the shape and shape of the object at the position on the object corresponding to each pixel. Indicates the material and surface properties.

Therefore, in the equation, the object color vector, the illumination light vector, the secondary reflected light vector and the coefficient K
_By changing ₁ , K ₂ , and K ₃ independently, the color and surface properties of the object can be freely adjusted for objects with a uniform surface color, such as plastic shaped objects and painted objects. Can be obtained, image data of each pixel of the object portion can be obtained.

[0015] By the way, since the users of the processing for changing the color and the surface properties of the object in the image are limited, an image processing system corresponding to such processing requires more processing. Also, miniaturization and versatility of the device were regarded as important.

For this reason, conventionally, the process from reading an image of one screen, changing color and surface properties, and outputting the result is considered as a series of processes. The use of repeating the color changing process has not been considered.

That is, in the apparatus using the above-mentioned technique, even when the same image is subjected to color change processing, the image input processing is performed again, and the coefficients K ₁ and K ₁ are newly assigned to each pixel. A huge amount of arithmetic processing for obtaining K ₂ and K ₃ was performed. For this reason, it has been difficult to speed up the color changing process.

Here, as described above, the coefficients K ₁ , K ₂ , and K ₃ included in the reflection model shown in the equations represent the shape, material, and surface properties of the object. Unchanged unless these attributes are changed. That is, the process of calculating the coefficients K ₁ , K ₂ , and K ₃ each time the color changing process is performed on the same image is useless.

The work of actually designing a product or the like and the work of creating computer graphics are a series of trial and error, and the processing of changing the color of the object itself, the color of the illumination light, and the color of the secondary reflected light in various ways is repeated. Often. Therefore, realization of an image processing system capable of changing only the color of the object portion at high speed is demanded.

It is an object of the present invention to provide an image data operation method and an image data operation apparatus capable of changing the color of an object or illumination light at a high speed using a reflection model representing image data of an object part. .

[0021]

FIG. 1 is a diagram showing the principle of an image data operation method according to the present invention. The invention according to claim 1 corresponds to an object color vector indicating the color of the object itself included in the image, an illumination light vector indicating the color of the illumination light, and a secondary reflected light vector indicating the color of the secondary reflected light. An image data manipulation method for changing the color of each of an object, illumination light, and secondary reflected light using a reflection model representing image data representing the color of each pixel of an object portion by each component obtained by multiplying a coefficient, Based on the input image data, an object color vector, an illumination light vector, and a secondary reflected light vector are obtained, and coefficients corresponding to these vectors are obtained for each pixel, and the obtained object color vector and illumination light vector are obtained. And the secondary reflected light vector and the coefficient of each pixel corresponding to each vector are stored as attribute information indicating the color, shape, and surface properties of the object, and the object, illumination light, and secondary reflected light are stored. The corresponding vector is changed to a target color vector in response to input of a target color vector indicating a color after the change of at least one color, and image data of each pixel is obtained from the changed vector and a coefficient corresponding to each vector. Is calculated and output,
Further, when an instruction to change at least one color of the object, the illumination light, and the secondary reflected light is given, the process of changing the corresponding vector and the process of calculating the image data are repeated.

FIG. 2 is a diagram showing the principle of the image data operation method according to the second aspect. The invention according to claim 2 provides an object color vector indicating the color of the object itself included in the image, an illumination light vector indicating the color of the illumination light, and a secondary reflected light vector indicating the color of the secondary reflected light. Using a reflection model representing image data representing the color of each pixel of the part of the object by each component obtained by multiplying a coefficient corresponding to a vector, an object, illumination light, an image in which each color of secondary reflected light is changed In the data operation method, prior to generation of each of the components, one of the object color vector, the illumination light vector, and the secondary reflected light vector based on the input image data and the one A coefficient corresponding to a vector is generated for each pixel in accordance with a change instruction to change one known color of the object, the illumination light, and the secondary reflected light, and the one vector and the The coefficients and image data corresponding to one vector stored as attribute information indicating the nature of the object color, shape and surface, the input of the target color vector indicating a target color after the change of the color designated by the change instruction The difference between the target color vector and the corresponding vector is multiplied by a coefficient corresponding to this vector, and a change in the image data associated with the change in the corresponding color is obtained for each pixel. And the original image data, respectively, to calculate and output the image data of each pixel. Further, when it is instructed to change the color specified by the change instruction, the corresponding color is changed. , And a process of calculating new image data based on this change is repeated.

FIG. 3 is a diagram showing the configuration of the image data manipulation device according to the third aspect. The invention according to claim 3 provides an object color vector indicating the color of the object itself included in the image, an illumination light vector indicating the color of the illumination light, and a secondary reflected light vector indicating the color of the secondary reflected light. Each component obtained by multiplying a coefficient corresponding to a vector is used to change the color of the object, the illumination light, and the secondary reflected light using a reflection model representing image data representing the color of each pixel of the object. In the image data operating device, a storage unit for storing storage data, and the components are generated based on the image data for one screen prior to the generation of the components for each input image data for one screen. the object color vector for each pixel, and the illumination light vector, and the secondary reflected light vector, and storing information comprising the coefficient and image data corresponding to these vectors, image corresponding to the stored information Reflection model creating means for storing data in the storage means in combination with data as storage data; and for an image stored in the storage means, at least one color of an object, illumination light, and secondary reflected light is a target color. A change instruction to change to and a target color vector indicating the target color are input,
Image data calculation means for calculating the image data of each pixel by substituting the target color vector and the attribute information and image data corresponding to the corresponding image in the storage means into the reflection model. Features.

[0024]

According to the first aspect of the present invention, an object color vector, an illumination light vector, a secondary reflected light vector and coefficients corresponding to these vectors are held as attribute information indicating the color, shape, and surface properties of the object. Using this attribute information, the color of the object or the illumination light can be changed any number of times. That is,
For the same image, it is not necessary to perform the reflection model creation processing each time the color change processing is performed, so that the color change processing can be speeded up.

According to a second aspect of the present invention, a change in image data is obtained from a difference between a target color vector and an original vector, and this change and the original image data are added to obtain a change after the color change processing. Since the image data is calculated, the calculation processing of the image data can be simplified. As a result, the color change processing can be performed with a smaller memory capacity and at a higher speed .

According to a third aspect of the present invention, the attribute information of the object is obtained by the reflection model creating means 111 in response to the input of the image data and is stored in the storage means 112 together with the image data. , Image data calculation means 1
No. 13 can perform a color change process on any of the already input images without performing a reflection model creation process again. Therefore, the color change processing can be performed at high speed.

[0027]

Embodiments of the present invention will be described below in detail with reference to the drawings. FIG. 4 shows the configuration of an embodiment of an image processing system provided with the image data manipulation device of the present invention.

In FIG. 4, image data input from an image input device 201 such as an image scanner is held in a holding memory 202. Further, the transfer circuit 203
A transfer process of image data is performed between the holding memory 202 and the display memory 204, and a display by the display device 205 is performed based on the image data transferred to the display memory 204. Has become.

This image processing system is provided with an input device 206 such as a mouse or a light pen. When an operator operates the input device 206 to specify a pixel on the screen, an input device control unit is provided. 207, the coordinates of the corresponding pixel are transmitted.

The object extracting unit 208 extracts the image data of each pixel included in the object portion from the image held in the holding memory 202, and transfers the address of the holding memory 202 corresponding to the pixel. The signal is sent to the circuit 203. In response, the transfer circuit 203
By transferring the corresponding image data from the holding memory 202 to the display memory 203, the display device 2
At 05, the image of the part of the object to be processed is displayed.

On the screen of the display device 205, a processing menu including icons indicating various instructions is displayed. When the operator specifies these icons via the input device 206, the input device control unit 207
Input of the instruction corresponding to the microprocessor (MPU)
209 is notified. As the processing menu, for example, icons corresponding to processing at each stage of image processing such as image input processing, reflection model creation processing, and color changing processing may be provided.

When the operator selects the reflection model creation processing from the processing menu described above, the microprocessor 209 responds to the notification from the input device control unit 207 by
The configuration is such that the reflection model creating means 111 is activated. At this time, the microprocessor 209 instructs the input device control unit 207 to notify the coordinates of the pixel designated by the operator to the reflection model creating unit 111, and also gives the operator an object color and illumination light. A message for prompting the input of the color and the secondary reflected light color is created, and the display memory 20 is prepared.
4 to be displayed on the display device 205.

In response to this, if the operator operates the input device 206 to specify the pixels indicating the object color, the illumination light color, and the secondary reflected light color, the input device control unit 207 specifies the pixel. The coordinates indicating the position of the pixel are sent to the reflection model creating means 111. At this time, the operator subjectively determines the object color, the illumination light color, and the secondary reflected light color based on the image displayed on the display device 205, and designates a pixel indicating each color. I just need.
For example, a pixel representing the color of the object in the portion of the object may be designated as the object color, and a pixel included in the glossy portion of the object may be designated as the illumination light color.

In FIG. 4, the reflection model creating means 111
Is, according to the input of the coordinates from the input device control unit 207,
The vector determination processing unit 211 reads out the corresponding image data from the holding memory 202 and sets them as an object color vector, an illumination light vector, and a secondary reflected light vector, respectively. This is sent to the section 213. The image data extracted by the above-described object extraction unit 208 is input to the coefficient calculation processing unit 213, and based on the image data of each pixel and the object color vector, the illumination light vector, and the secondary reflected light vector. Thus, the coefficients K ₁ , K ₂ , and K ₃ corresponding to each pixel are calculated and stored in the coefficient holding memory 214.

Here, the RGB values obtained from the above equations are used.
By applying Cramer's theorem to the ternary system of equations for the components, the coefficients K ₁ , K ₂ , and K ₃ are

[0036]

(Equation 02)

[0037]

[Equation 03]

[0038]

[Equation 04]

Is represented as follows. Therefore, the coefficient calculation processing unit 213 substitutes the value of each component of the vector corresponding to each of the above-described equations to obtain the coefficients K ₁ ,
K ₂ and K ₃ may be obtained.

Further, the address of the holding memory 202 corresponding to the pixel extracted from the object extracting unit 208 is notified to the coefficient holding memory 214, and the coefficients K ₁ and K ₂ obtained as described above. , and the value of K ₃ is configured to store in response to these addresses.

As a result, the values of the coefficients K ₁ , K ₂ , and K ₃ corresponding to the respective pixels in the reflection model represented by the equation can be stored in association with the image data. The function of the storage unit 112 can be realized by the holding memory 212 and the holding memory 202.

After the reflection model creation processing is completed in this manner, the operator may operate the input device 206 to designate an icon for instructing the above-described processing menu to change the color. In response, the input device control unit 20
7, the corresponding instruction is notified to the microprocessor 209, and the operation of the image data calculation means 113 is started by the microprocessor 209. At this time, the microprocessor 209 creates a message urging the operator to specify a color to be changed, and causes the display device 205 to display the message. Further, in response to an instruction from the operator, the input device control unit 207 is instructed to transmit the coordinates of the pixel designated by the operator to the image data calculation unit 113, and the input of the changed target color is performed. And a color palette for designating a target color may be created and displayed on the display device 205.

For example, when the operator instructs to change the object color in response to the message prompting the user to specify the color to be changed, a color palette for designating the target color of the object color is displayed. Is displayed. Also, depending on the operator,
When a pixel in the color palette is designated, the coordinates of the corresponding pixel are input to the image data calculation unit 113 via the input device control unit 207. At this time, the microprocessor 209 may send a change instruction to change the object color to the image data calculation unit 113.

In FIG. 4, image data calculation means 113
In response to the above-described change instruction, the readout circuit 221 reads the necessary vectors from the vector holding memory 212 and the coefficient holding memory 214 and the coefficients K ₁ and K corresponding to each pixel.
₂ and K ₃ are read out and sent to the arithmetic processing unit 222, which calculates the image data of each pixel according to the equation and sends it to the display memory 204. At this time, the readout circuit 221 reads out and sends out the vector for which the color change was not instructed by the above change instruction (for example, the illumination light vector and the secondary reflected light vector when the change of the object color is instructed). do it. The coordinates of the pixel indicating the target color from the input device control unit 207 described above are input to the vector creation unit 223, and the vector creation unit 223 refers to the display memory 204 based on the input coordinates. The obtained image data is input to the arithmetic processing unit 222 as a target color vector.

Thus, according to an instruction from the operator,
When each vector is changed to the target color vector,
The image data of each pixel included in the object portion can be calculated and displayed on the display device 205, and a simulation for changing the object color and the illumination light color in various ways can be realized.

In this case, by selecting the color change processing again in the processing menu, the vector holding memory 212 is selected.
Using the attribute information of the object in the image held in the coefficient holding memory 214 and the color changing process, the color changing process can be repeated any number of times.

At this time, the processing for calculating the attribute information of the object is omitted, and only the operation of the image data calculating means 113 is started by the microprocessor 209, so that the image input processing and the attribute information calculation processing are performed again. In this case, the speed of the color change process can be significantly increased as compared with the case where the color change is performed.

Thus, when the color changing process is repeated many times, the waiting time of the operator can be reduced, and the design work and the computer graphics creation work can be made more efficient, and the image processing system is easy to use. Can be realized.

Here, the coefficients K ₁ , K ₂ , and K ₃ used in the reflection model shown in the equation are of a real type, and correspond to each pixel included in the object portion. When the coefficients K ₁ , K ₂ , and K ₃ corresponding to are stored, an enormous amount of memory must be allocated as the coefficient holding memory 214.

On the other hand, for example, when only the color of the object is changed, the values of the second and third terms of the equation do not change. which in turn are multiplied by the value of the coefficient K ₁ to the difference between the color vector and the target color vector. That is, by adding this change to the original image data, the image data after the change can be obtained.

Therefore, when only one vector in the attribute information indicating the color of an object or the like is to be changed, only the coefficient corresponding to the vector to be changed is held in the coefficient holding memory 214. It is sufficient that it is not necessary to keep the coefficients corresponding to the other vectors.

Hereinafter, a description will be given of a method for simplifying the calculation processing of the image data by using this fact when the vector to be changed is known in advance. In this case, only the vector to be changed and the coefficient corresponding to this vector need to be stored in the vector storage memory 212 and the coefficient storage memory 214, respectively. Therefore, a capacity corresponding to image data for one pixel is secured as the vector holding memory 212, and
It is sufficient to secure a capacity necessary to hold a real-type numeric value corresponding to each pixel of one screen.

Further, as shown in FIG.
, Multiplication circuit 225 and addition circuit 226
22 and the reading circuit 221
And the image data of each pixel included in the object portion and the coefficient corresponding to each pixel are read out from each of the coefficient holding memory 214 and the addition circuit 226 and the multiplication circuit 225.
Can be entered for each. Also, the vector creation unit 22
In step 3, a target color vector may be created in the same manner in accordance with the input of coordinates from the input device control unit 207, and input to the subtraction circuit 224.

The above-described subtraction circuit 224 obtains the difference between the original vector and the target color vector held in the vector holding memory 212 and sends the obtained difference value to the multiplication circuit 225. Further, the multiplication circuit 225
The difference value obtained by the subtraction circuit 224 is sequentially multiplied by a coefficient corresponding to each pixel to obtain a change in the image data of each pixel due to a change in the vector, and is transmitted to the addition circuit 226. The addition circuit 226 adds the change in the image data to the original image data to obtain the image data after the color change processing.

That is, the image data calculation method according to claim 2 can be applied to simplify the calculation processing of the image data. This makes it possible to further speed up the color change processing and reduce the memory resources allocated to the coefficient holding memory 214, for example, in response to the use of repeatedly changing the color of the object only in various ways.

By the way, the above-described embodiment is suitable for the case where after one-screen image is read, the color changing process is repeatedly performed on the image. However, once another image is read and a reflection model is created for the object in this image, the attribute information for the object in the previous image is erased, so that the reflection model creation process is not performed again. As long as it is, the color change processing for the object in the previous image cannot be performed.

On the other hand, in recent years, large-capacity memory elements have been supplied inexpensively and in large quantities, and an auxiliary storage device having a huge capacity and capable of high-speed access has been realized. These can be used in an image processing system.

Hereinafter, using a large-capacity auxiliary storage device,
A method of accumulating attribute information of an object in an image for each of a plurality of images, reading necessary attribute information according to an instruction of an operator, and performing a color changing process will be described.

In this case, as shown in FIG. 6, an image processing system is constituted by providing, for example, a magnetic disk device 301 as an auxiliary storage device, and the disk control device 302 The image data extracted by the extraction unit 208 and the attribute information stored in the vector storage memory 212 and the coefficient storage memory 214 may be recorded in the magnetic disk device 301.

At this time, the microprocessor 209
As shown in FIG. 7, by combining the image data extracted by the object extracting unit 208 and the corresponding coefficients held in the coefficient holding memory 214, data for accumulation corresponding to each pixel of the object part is created, The storage data may be sent to the disk control device 302. Further, each vector in the vector holding memory 212 may be added to the head of the storage data and transmitted.

In this way, image data and attribute information corresponding to a plurality of images can be stored in the magnetic disk device 301 corresponding to the storage unit 112. At this time, the disk control device 302 notifies the microprocessor 209 of the file name of the image data and the attribute information corresponding to each image, and
9 may hold the file name and the image identification information in the image management table 311.

In this case, when the operator designates image identification information via the input device 206, the microprocessor 209 responds to the notification from the input device control unit 207.
By referring to the image management table 311 and designating a corresponding file and instructing the disk control device 302 to perform a read operation, the relevant image data and attribute information can be read from the magnetic disk device 301.

In FIG. 6, the image processing system includes an image memory 3 in addition to the above-mentioned holding memory 202, vector holding memory 212, and coefficient holding memory 214.
03, vector holding memory 304, coefficient holding memory 30
5 is provided.

Therefore, the above-described disk control device 3
02 reads out image data and attribute information from the magnetic disk device 301 in response to an instruction from the microprocessor 209, sends each vector of the header part to the vector holding memory 304, and stores the storage data corresponding to each pixel in the image. What is necessary is just to divide the data into coefficients and store them in the image memory 303 and the coefficient holding memory 305, respectively.

Further, in place of the readout circuit 221 shown in FIG. 4, a readout circuit 3 which can access the image memory 303, the vector holding memory 304, and the coefficient holding memory 305.
The readout circuit 321 may send necessary information to the arithmetic processing unit 222.

As described above, from the image data and the attribute information stored in the storage means 112, the image data and the attribute information corresponding to the image designated by the operator are selectively read, and the image data and the attribute information are used. , A color change process can be performed.

As a result, if the reflection model creation processing has already been completed, the color change processing can be performed on the corresponding image without creating a reflection model again. Therefore, not only the case where the color changing process is repeated for the same image, but also the speed of the color changing process for the previously processed image can be increased, and it is possible to cope with various uses. An easy-to-use image processing system can be realized.

As described above, the holding memory 20
2. Vector holding memory 212, coefficient holding memory 214
And the image memory 303, the vector holding memory 304, and the coefficient holding memory 305 are prepared independently of each other, so that the reflection model creation processing and the color change processing can be executed asynchronously.

For example, images to be processed are sequentially input in advance and stored in an auxiliary storage device, and the stored image data is read and stored in a spare time when the color change processing is not performed. May be performed, and the image data may be stored again together with the obtained attribute information. Thereby, the processing efficiency of the image processing system can be further improved by effectively utilizing the idle time of the computer.

When the vector to be subjected to the color changing process is known in advance for each image, the microprocessor 209 converts the image data corresponding to each pixel and the designated vector as shown in FIG. The accumulation data corresponding to each pixel may be created by combining with the corresponding coefficient (for example, the coefficient K ₁ corresponding to the object color vector). Further, a flag corresponding to each vector may be provided in the header portion, and the flag corresponding to the vector to be subjected to the color change processing may be set to logic “1” to indicate the corresponding vector.

In this case, when reading the storage data from the magnetic disk device 301, the microprocessor 20
9 determines a vector to be subjected to a color change process based on the flag described above, and sends the storage data corresponding to each pixel to the disk control device 302 with image data and a coefficient corresponding to the corresponding vector. What is necessary is just to instruct that it is divided. In response to this, the disk control device 302
May be stored sequentially in the coefficient holding memory 305.

Further, as shown in FIG.
4, a multiplication circuit 225, and an addition circuit 226 to form an arithmetic processing unit 222, and a color change process may be performed using the image data operation method according to claim 2.

As a result, it is possible to reduce the amount of storage data stored in the magnetic disk device 301 and store a large number of images. Further, by applying the image data operation method according to the second aspect, it is possible to further speed up the color changing process.

Instead of providing a flag corresponding to each vector in the header portion, a specific value (for example, a numerical value “0”) is used as a value of a vector other than the vector to be subjected to the color change processing. May indicate the corresponding vector. Further, the header section may be configured from the value of the corresponding vector and information indicating the type of this vector.

[0075]

As described above, according to the present invention, attribute information indicating the color, shape, and surface properties of an object is retained for an image for which reflection model creation processing has already been completed. It is possible to reduce the processing for obtaining the attribute information again and execute the color changing processing at high speed. Accordingly, it is possible to reduce an operator's burden by shortening a waiting time in a design work and a computer graphics creation work by a computer, and to provide an image processing system capable of efficiently performing the work.

[Brief description of the drawings]

FIG. 1 is a diagram showing the principle of an image data operation method according to claim 1;

FIG. 2 is a diagram showing the principle of an image data operation method according to claim 2;

FIG. 3 is a diagram showing a configuration of an image data manipulation device according to a third embodiment;

FIG. 4 is an embodiment configuration diagram of an image processing system to which the image data manipulation device according to claim 3 is applied.

FIG. 5 is a configuration diagram of another embodiment of the image data calculation means.

FIG. 6 is a block diagram showing another embodiment of the image data manipulation device according to claim 3;

FIG. 7 is an explanatory diagram of accumulation data.

FIG. 8 is an explanatory diagram of storage data.

[Explanation of symbols]

 111 Reflection model creation means 112 Storage means 113 Image data calculation means 201 Image input device 202 Holding memory 203 Transfer circuit 204 Display memory 205 Display device 206 Input device 207 Input device control unit 208 Object extraction unit 209 Microprocessor (MPU) 211 Vector determination processing unit 212, 304 Vector holding memory 213 Coefficient calculation unit 214, 305 Coefficient holding memory 221, 321 Readout circuit 222 Operation processing unit 223 Vector creation unit 224 Subtraction circuit 225 Multiplication circuit 226 Addition circuit 301 Magnetic disk device 302 Disk control device 303 Image memory 311 Image management table

Continuation of the front page (56) References JP-A-3-41570 (JP, A) JP-A-2-127779 (JP, A) JP-A-3-278095 (JP, A) JP-A-63-202795 (JP) , A) Yuri Takizawa et al. “Color Change Simulation System”, Proc. Of the 1991 IEICE Autumn Conference, IEICE, September 1991, p. 6-182 Joji Tajima et al., "Color Change Algorithm for Color Design", Information Processing Society of Japan Research Report (89-CV-59-6), Information Processing Society of Japan, March 1989, Vol. 89, No. 29, 59-6 Shinichiro Miyata et al., “Image Processing in Presentation”, IEICE Journal, IEICE, April 1991, Vol. 74, no. 4, p. 392-397 (58) Field surveyed (Int. Cl. ⁶ , DB name) G06T 1/00 G06T 15/50 G06T 7/00-7/60 JOIS (JICST)

Claims (3)

(57) [Claims] 1. A coefficient corresponding to each of an object color vector indicating a color of an object itself included in an image, an illumination light vector indicating a color of illumination light, and a secondary reflection light vector indicating a color of secondary reflection light An image data operation method for changing the colors of an object, illumination light, and secondary reflected light using a reflection model representing image data representing the color of each pixel of the part of the object by each component obtained by multiplication, Based on the image data to be obtained, the object color vector, the illumination light vector, and the secondary reflected light vector are obtained, and coefficients corresponding to these vectors are obtained for each pixel. attribute information of the image data coefficient of each pixel represents the properties of color, shape and surface of the object corresponding to the secondary reflected light vector and each vector and the illumination light vector In accordance with the input of the target color vector indicating the changed color of at least one of the object, the illumination light, and the secondary reflected light, the corresponding vector is changed to the target color vector, and each of the changed vectors is changed. And calculates and outputs image data of each pixel from the coefficient corresponding to each vector, and further, when an instruction to change at least one color of the object, the illumination light, and the secondary reflection light is given, An image data operation method characterized by repeating a vector change process and an image data calculation process. 2. An object color vector indicating the color of the object itself included in the image, an illumination light vector indicating the color of the illumination light, and a secondary reflected light vector indicating the color of the secondary reflected light, respectively. Image data operation method for changing the colors of an object, illumination light, and secondary reflected light using a reflection model representing image data representing the color of each pixel of the object portion by each component obtained by multiplying the coefficient by the coefficient In, prior to the generation of each component, the object color vector based on the input image data, the illumination light vector,
And a change instruction to change one of the secondary reflected light vectors and a coefficient corresponding to the one vector to one of the known colors of the object, the illumination light, and the secondary reflected light. The one vector and the coefficients and image data corresponding to the one vector are generated for each pixel according to
Data as attribute information representing the color and shape of the object and the properties of the surface, and in response to the input of the target color vector indicating the target color after the change of the color specified by the change instruction, the target color vector And the corresponding vector are multiplied by a coefficient corresponding to this vector to obtain a change in the image data due to the change in the corresponding color for each pixel, and the obtained change and the original image data are respectively obtained. In addition, the image data of each pixel is calculated and output, and further, when it is instructed to change the color specified by the change instruction, a change in the image data due to the change of the corresponding color is calculated. An image data operation method characterized by repeating a process of obtaining again and calculating new image data based on the change. 3. An object color vector indicating the color of the object itself included in the image, an illumination light vector indicating the color of the illumination light, and a secondary reflected light vector indicating the color of the secondary reflected light, respectively. An image data operation for changing the color of each of the object, the illumination light, and the secondary reflection light using a reflection model representing image data representing the color of each pixel of the object portion by each component obtained by multiplying In the apparatus, a storage means for storing storage data, and for each pixel generated based on one screen of image data prior to generation of each component for each input one screen of image data, the object color vector of the illumination light vector, and the secondary reflected light vector, as well as a storage information comprising the coefficients and image data corresponding to these vectors, the image data corresponding to the stored information Reflection model creating means for storing the data as storage data in the storage means, and changing at least one color of the object, illumination light, and secondary reflected light to the respective target colors for the image stored in the storage means. The target color vector indicating the change instruction and the target color are input, and the target color vector and the attribute information and image data corresponding to the corresponding image in the storage unit are substituted into the reflection model. Image data calculation means for calculating image data of each pixel;
An image data operation device comprising: