JP2988620B2 - Image saturator - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an image saturating apparatus for coloring a monochrome image.

[0002]

2. Description of the Related Art Historically valuable photographs and images taken in the Meiji, Taisho and early Showa periods are monochrome for technical reasons at the time. Films called masterpieces of the early days are also monochrome. The desire to chromaticize photographs and videos recorded in monochrome as described above is very persistent in the publishing industry, the broadcasting industry, and the like. In view of such a demand, a technique for colorizing a monochrome image by making full use of color adjustment technology and image processing technology, which have been rapidly advanced in recent years, is being studied.

[0003] Generally, a color image has a lightness.
A monochrome image is represented by achromatic pixels, although it is represented by three attributes of chroma (Chroma) and hue (Hue). For example, if you want to chromaticize a photograph of a historical figure in which the cheeks, clothes, lips, and forehead are uniformly expressed only in achromatic color,
This is read on a personal computer by an optical reading device such as a scanner, and the cheek is
An area is designated for each part of the same color such as clothing, lips, forehead, etc., and the color saturation, hue, etc. of the entire designated area are adjusted. With this adjustment, the cheeks and forehead give skin tone hue and saturation, and lips give vermilion hue and saturation.

[0004] Recent trends in color adjustment technology and image processing technology have emphasized operability in interactive editing as well as high resolution, full color, and high speed processing. This is because in color adjustment, designers and color coordinators repeatedly perform trial and error in order to obtain a color tone according to the impression. ) To achieve more visual interactive editing. Dialog editing using a GUI is, as a concrete example,
This includes rewriting the pixel value by setting the amount of addition and subtraction using a slide bar, and specifying an area on an image using a pointing device.

[0005] The conventional image saturating apparatus, by introducing a GUI, supports the efficiency of the saturating work by publishers and broadcasters. The internal configuration of a conventional image chromatic device will be described with reference to a functional block diagram of FIG.
Referring to FIG. 26, a conventional image saturating apparatus includes a read / write unit 810, a frame buffer 811, a display 8
12, an input unit 813, a pointing device 814,
And a pixel chromaticization device 815. Pixel chromaticization device 8
Reference numeral 15 denotes an input switch 802, a first conversion unit 803, an addition / subtraction processing unit 804 to an addition / subtraction processing unit 806, and an addition / subtraction control unit 8.
07, a second conversion unit 808, and an output switch 809.

The frame buffer 811 stores one frame of monochrome image for work. Read / write unit 81
0 indicates that the pixel value is read from the frame buffer 811 one pixel at a time to the pixel
Is written into the frame buffer 811. The display 812 includes a frame buffer 811
Is displayed. Input unit 81
Reference numeral 3 denotes an area designating unit 801 in the pixel chromatic unit 815 that changes the trajectory coordinates of the cursor according to the operation of the pointing device.
, And outputs the amount of addition / subtraction performed on the slide bar to the addition / subtraction control unit 807 in the pixel chromatic unit 815.

The input switch 802 switches whether the coordinates of the read pixels are inside or outside the designated area. The area designation section 801 is a read / write section 810
Then, it is determined whether the pixel value read out is located inside or outside the area specified by the pointing device. The first conversion unit 803 converts the pixel values of the read image into a color space composed of three axes of lightness, saturation, and hue, and performs addition / subtraction processing units 804, 805,
806. The addition / subtraction control unit 807 calculates the amount of change performed by the operator on the slide bar by the addition / subtraction processing unit 804.
805 and 806. Addition / subtraction processing units 804, 80
Reference numerals 5 and 806 add and subtract the change amount given from the addition / subtraction control unit 807 to the brightness, saturation, and hue of the input pixel. The output switch 809 switches the output destination depending on whether the input pixel is inside or outside the designated area.

[0008] The operation of the conventional image saturating apparatus configured as described above will be described below. When the operator moves the cursor on the display 812 using a pointing device and surrounds any part of the monochrome image,
The input unit 813 acquires the coordinates of the enclosed portion. When the operator instructs to chromaticize the enclosed portion, the read / write unit 810 reads pixel values stored in the frame buffer 811 one pixel at a time. The read pixels are supplied to the input switch 802 one by one.

An area specifying unit 801 refers to the coordinates of the pixel given to the input switch 802, and determines from the coordinates whether the pixel is within or outside the area specified by the pixel. In response to this determination result, the area designation unit 801 sends a switching signal to the input switch 802 and the output switch 809. If the switching signal indicates the inside of the area, the input switch 802 switches the output destination to the first converter 803 side, and the output switch 809 switches the input source to the second converter 808 side. If the switching signal indicates that the area is out of the area, the input switch 802 and the output switch 803 are switched in the opposite direction. Thereby, the input image value is output through.

When the input switch 802 is switched to an area, the first converter 803 receives the pixel data of the input image and converts the pixel data into a color space composed of three axes of lightness, saturation, and hue. I do. The brightness component, the saturation component, and the hue component are added and subtracted by processing units 804 and 805, respectively.
806. The addition / subtraction processing units 804 to 806 add the change amounts given from the addition / subtraction control unit 807 to the input brightness component, saturation component, and hue component, and output the result to the second conversion unit 808. Addition / subtraction processing unit 804-
The second conversion unit 808 receiving the calculation result in 806,
The color space is converted and the result is output to 809. As a result, the brightness, saturation, and hue according to the slide bar are added to the pixel values in the area specified by the area specifying unit 801, so that the image is chromatic.

In order to convert an input monochrome image into a color image, the above-described image saturating apparatus is repeatedly used while changing the area selection and the amount of change.

[0012]

However, in the above-mentioned prior art, since the pixel values of the pixels in the closed area specified as the area are uniformly rewritten, areas having different colors such as face, clothes, lips, etc. must be individually specified. Must. When repeating such area specification, the already colored part,
Next, if the area does not exactly match the designated area, an achromatic uncolored portion appears. If a large number of such mismatched parts appear due to the accuracy of the pointing device, the skill of the operator, or the like, there is a problem that achromatic outlines appear everywhere.

This problem will be described with reference to an example of FIGS. For example, when coloring a person's face, the lips and the other parts of the face have different colors, so first run the pointing device and move the cursor mark.
Surround the lips with h1. When it is surrounded, the pixel value of the closed area in the cursor mark h1 is rewritten to red-based saturation and hue. Then Figure 2
The lips are surrounded by a cursor mark h2 shown in FIG. 7B, and the face is surrounded by a cursor mark h3 shown in FIG. 27B. Here, a closed area sandwiched between the cursor traces h2 and h3 is designated. Since the area of the face excluding the lips is specified,
The pixel value of the closed area is rewritten to the skin color saturation and hue. At this time, the lip locus h1 in FIG.
If the lip locus h2 in FIG. 7B does not exactly match, the non-matching portion is not chromatic, and appears as an achromatic unpainted portion. The image after chromaticization due to the unfilled portion looks like an outline around the lips. If the number of area designations is large, achromatic outlines appear at various places such as the boundary between hair and skin, the boundary between clothing and skin, and the like.

[0014] It is an object of the present invention to provide an image saturating apparatus which can reduce the achromatic color remaining when saturating a monochrome image by saturating and repetition of area designation. is there.

[0015]

According to the present invention, there is provided an image saturating apparatus which enables an operator to specify an area so as to include an already saturated portion when performing saturating. ing.

[0016]

DESCRIPTION OF THE PREFERRED EMBODIMENTS In order to achieve the above object, according to the first aspect of the present invention, the pixel values of a plurality of pixels constituting an image are
It consists of a red component Rx, a green component Gx, and a blue component Bx.
Of the cursor on the screen
The pixel value inside the enclosed closed area is converted to a predetermined conversion parameter.
Colorize monochrome images by rewriting
An image saturating device, in which a finger
The pixel value of each pixel located in the defined closed area is Rx ≒ Gx
こ と に To determine whether the relationship of Bx is satisfied
Each pixel is achromatic or chromatic
An achromatic color determination unit for determining whether the pixel is a pixel;
The pixel value for the pixel that has been determined to be chromatic by the coloring determination unit
And a prohibition unit for prohibiting rewriting of the
When the operator operates the pointing device, the inside of the closed region on the screen is surrounded by the movement locus of the cursor. The pixel value of this closed area is rewritten using a predetermined conversion parameter. By repeating the above cursor movement and pixel value rewriting, the monochrome image is partially chromatic. Here, if the closed region specified by the cursor trajectory includes a chromatic portion , each component of the pixel value of each pixel included in the closed region is
The achromatic judgment unit determines whether the relationship of Rx ≒ Gx ≒ Bx is satisfied.
Is determined by Chromatized already determined in this way
Rewriting of pixel values for pixels is prohibited by the prohibition unit
Is done. In this way, the operator can specify the closed region with the cursor without worrying about the chromatic portion.

[0017]

[0018] Furthermore according to claim 2 image chromatic apparatus according, reading means for reading the pixel value of the designated closed area by the trace of the cursor one pixel, based on a predetermined conversion parameters is read Increasing / decreasing means for increasing / decreasing each component constituting the pixel value, and rewriting means for rewriting the pixel value inside the closed area using the pixel value output by the increasing / decreasing means; and increasing / decreasing each component by the increasing / decreasing means. An activation unit that, when started, activates an achromatic color determination unit to start determining whether a pixel remains an achromatic color or a pixel that has already been chromatic, and the prohibition unit includes an achromatic color When the determination unit determines that the color has already been colored, rewriting by the rewriting means is prohibited, and the pixel value in the closed area specified by the locus of the cursor is read by the reading means. Read by the pixel. Based on a predetermined conversion parameter, each component of the read pixel value is increased / decreased by the increasing / decreasing means and output. Using the pixel value output by the increasing / decreasing means, the pixel value inside the closed area is rewritten by the rewriting means. When the increase / decrease of each component by the increase / decrease means is started, the achromatic color determination unit is activated by the activation unit, and the determination as to whether the pixel remains an achromatic color or is a pixel that has already been chromatic is started. . If the achromatic determination unit determines that the color has already been colored, the prohibition unit prohibits rewriting by the rewriting unit.

Further, the image chromaticization device according to claim 3 further receives an instruction from the operator, and determines some combinations of monochrome pixel values and color pixel values in accordance with the instruction content by the operator. Means, and conversion parameter calculating means for calculating a conversion parameter for converting all monochrome pixel values in the determined combination into color pixel values collectively, wherein the increasing / decreasing means comprises a conversion parameter calculated by the conversion parameter calculating means. In response to an instruction from an operator, a monochrome pixel value and a color pixel are determined according to the instruction from the operator. Several combinations of values are determined by the determining means. The conversion parameter calculation means calculates a conversion parameter for this combination. The conversion parameter calculated by the conversion parameter calculation means is such that all the monochrome pixel values in the determined combination are converted into color pixel values collectively, and based on the conversion parameter calculated by the conversion parameter calculation means. Each component constituting the pixel value in the closed area is increased or decreased and output.

According to a fourth aspect of the present invention, in the image chrominizing device of the third aspect , the combination of the monochrome pixel value and the color pixel value determined by the determination means is further classified into an A attribute, a B attribute, and a C attribute. Multiple monochrome in color space including
Pixel value (ASi, BSi, CSi) (i is each of a plurality of pixel values
Subscript indicating an integer value to identify the color), multiple colors
Pixel value (ADi, BDi, CDi) (i is a plurality of pixel values
Comprising a pixel value storing means for storing as a subscript) represents an integer value to identify a record, transformation parameter calculating means, double
The number of monochrome pixel values (ASi, BSi, CSi) and a plurality of mosquito <br/> color pixel value (ADi, BDi, CDi) double in the color space of the
A number of distances dij (i, j are used to identify each of a plurality of distances.
(A subscript indicating an integer value), and a plurality of distance functions Lij (i, j are a plurality of distances ) monotonously decreasing according to a plurality of distances dij.
A distance function calculator for calculating a subscript indicating an integer value for identifying each of the functions, and a plurality of monochrome pixel values (A
Si, BSi, CSi) to a plurality of color pixel values (ADi, B
Di, CDi) (AQi, BQi, CQi) (i
Indicates an integer value to identify each of the multiple displacements
A displacement amount calculating part for calculating a to index), a plurality of distance functions Li
j and a plurality of displacements (AQi, BQi, CQi) , the following {Equation 1} is calculated to obtain a plurality of conversion parameters.
Data Pi (i identifies each of the plurality of conversion parameters
And a calculating unit for calculating a subscript indicating an integer value for calculating a pixel value (ASx, BSx, Cx) of a plurality of monochrome pixels in a closed area specified by a locus of a cursor.
Sx) (x is an integer for identifying each of the plurality of pixel values.
By performing the operation of the following {Expression 2} on the subscript indicating the numerical value, a plurality of color pixel values (ADx, BDx, CD
x) (x is an integer to identify each of multiple pixel values
And a calculation unit for obtaining a value (subscript indicating a value) . The combination of the monochrome pixel value and the color pixel value determined by the determining means is stored in the pixel value storing means.
Attributes in the color space, including attributes, B attributes, and C attributes
B. Pixel values (ASi, BSi, CSi), multiple color pixel values
(ADi, BDi, CDi) . Multiple modules
Nokuro pixel values (ASi, BSi, CSi) and multiple color images
Multiple distances in color space with prime values (ADi, BDi, CDi)
The distance dij is measured, and a distance function Lij that monotonically decreases in accordance with the plurality of distances dij is calculated by the distance function calculator.
A plurality of monochrome pixel values (ASi, BSi, CSi) from a plurality
Multiple displacements up to the color pixel values (ADi, BDi, CDi)
The quantities (AQi, BQi, CQi) are calculated by the displacement calculator. A plurality of distance functions Lij and a plurality of displacement amounts (AQi, BQi,
The calculation unit { CQi) performs the operation of {Formula 1} to calculate a plurality of conversion parameters Pi . The operation of {Equation 2} is performed by the calculation unit on the pixel values (ASx, BSx, CSx) of the monochrome pixels in the closed area specified by the locus of the cursor, so that the color pixel values (ADx, BDx, CDx) ) Is obtained.

Further, according to a fifth aspect of the present invention, there is provided an image saturating device, comprising: determining means for determining a combination of a monochrome pixel value and a color pixel value based on an instruction from an operator; When the combination of the monochrome pixel value and the color pixel value is determined by the determining means, each attribute component in the determined monochrome pixel value is set as an X coordinate,
Interpolation formula calculating means for calculating an interpolation formula of an interpolation straight line or an interpolation curve passing through XY coordinates expressing each attribute component of a color pixel corresponding to the component as a Y coordinate, A projection unit that projects each attribute component of the pixel value on the calculated interpolation straight line or interpolation curve and outputs the Y coordinate of a point on the projected curve as a color pixel value component. The combination of a monochrome pixel value and a color pixel value is determined by the determining means based on the instruction from the operator. Monochrome pixel values,
When the combination of the color pixel values is determined, each attribute component in the determined monochrome pixel value is regarded as the X coordinate, and each attribute component of the color pixel corresponding to those components is regarded as the Y coordinate. The interpolation formula of the interpolation straight line or the interpolation curve passing through the XY coordinates expressed as described above is calculated by the interpolation formula calculation means. Each attribute component of the pixel value inside the closed area is projected on the calculated interpolation straight line or interpolation curve by the projection unit, and the Y coordinate of a point on the projected curve is output as a component of the color pixel value.

When the combination of the monochrome pixel value and the color pixel value is determined by the determination means, each attribute component in the determined monochrome pixel value is regarded as an X coordinate, and the color pixel corresponding to the component is determined. The interpolation formula of the interpolation straight line or the interpolation curve passing through the XY coordinates represented by regarding each attribute component as the Y coordinate is calculated by the interpolation formula calculation means.

Each attribute component of the pixel value inside the closed area is projected onto the calculated interpolation straight line or interpolation curve by the projection unit, and the Y coordinate of the point on the projected curve is output as a color pixel value component. Is done. The image saturating device according to claim 6 receives an instruction from an operator, and in accordance with the instruction content,
Determining means for determining some combinations of a monochrome pixel value and a color pixel value; and determining the combination of the monochrome pixel value and the color pixel value by the determining means, each attribute component in the determined monochrome pixel value is determined. An interpolation formula calculating means for calculating an interpolation formula of an interpolation straight line or an interpolation curve passing through XY coordinates in which each attribute component of a color pixel corresponding to those components is represented as a Y coordinate as an X coordinate, Then, each attribute component of all the monochrome pixel values that can be included in the monochrome image is given to the interpolation formula calculated by the interpolation formula calculation means, and projected on the calculated interpolation straight line or interpolation curve and projected. The projection unit that outputs the Y coordinate of the point on the curved line as a component of a color pixel value, and the attribute components of all monochrome pixel values given to the projection unit are associated with each other. Was a color pixel value storing means for storing each attribute component of the color pixel values, increasing or decreasing means,
Using the attribute components of the pixel values inside the closed area as keys, search the contents stored in the color pixel value storage means, and extract and output each attribute component of the color pixel value corresponding to each attribute component of the matching monochrome pixel value The combination of a monochrome pixel value and a color pixel value is determined by the determining means in accordance with an instruction from the operator. When the combination of the monochrome pixel value and the color pixel value is determined by the determining unit, each attribute component in the determined monochrome pixel value is regarded as an X coordinate, and each attribute component of the color pixel corresponding to the component is determined. Is calculated by the interpolation formula calculating means. When the interpolation formula is calculated, each attribute component of all monochrome pixel values that can be included in the monochrome image is given to the interpolation formula calculated by the interpolation formula calculation means by the projection unit, and the calculated interpolation straight line or interpolation curve is calculated. Projection is made on top. The Y coordinate of a point on the projected curve is output as a component of a color pixel value. The color pixel value storage means stores each attribute component of a color pixel value obtained by projection by the projection unit in association with each attribute component of all monochrome pixel values given to the projection unit. The stored contents of the color pixel value storage means are searched by using each attribute component of the pixel value inside the closed area as a key, and each attribute component of the color pixel value corresponding to each attribute component of the matching monochrome pixel value Is taken out by the take-out unit and output.

According to a seventh aspect of the present invention, in the image saturating apparatus, a range represented by a reference axis designated by an operator in a color space and a predetermined width occupying a radial direction with respect to the reference axis is defined as an original image. Distribution range storage means for storing as a first range in which pixel values can be distributed; and, among pixel values in a closed area designated by a locus of a cursor, pixel values in which each component in a color space is included in the first range. Projecting means for projecting on the stored reference axis, and the extracting unit searches the stored contents of the color pixel value storing means by using each component on the projected reference axis as a key, and A color pixel value corresponding to a pixel value is extracted and output, and the distribution range storage means includes a reference axis designated by an operator in a color space and a radial direction occupying the reference axis. With the given width Thus the represented range, the pixel values of the original image is stored as a first range may be distributed. Among the pixel values in the closed area specified by the trajectory of the cursor, the pixel values in which each component in the color space is included in the first range are projected onto the stored reference axis by the projection means. A search is performed by the extraction unit for the contents stored in the color pixel value storage unit using each component on the projected reference axis as a key, and a color pixel value corresponding to the corresponding monochrome pixel value is output. .

Further image chromatic apparatus according to claim 8 is to bypass the adjusting unit, a bypass path for directly transferring the pixel value read by the reading means, the pixel value is increased or decreased unit rewrites, or A switch for selectively outputting any one of the pixel values transferred from the bypass path, and the prohibiting unit switches the switch to the increasing / decreasing means side when the achromatic color determination unit determines that the pixel value is achromatic. If the switch is determined to have been completed, the switch is switched to the bypass path side, and the rewriting means rewrites the inside of the closed area using the pixel value that has been switched and output. Either the pixel value transferred or the pixel value transferred from the bypass path is selectively output. After passing through the bypass path, the increasing / decreasing means is bypassed, and the pixel value read by the reading means is transferred as it is, so that the original pixel value is given to the rewriting means. The prohibition unit switches the switch to the increasing / decreasing means side when the achromatic color determination unit determines that the color is achromatic, and switches the switch to the bypass path side when it determines that the color is already chromatic.

According to a ninth aspect of the present invention, the image saturating apparatus has an interface for connecting a pointing device, and the deciding means includes a color sample display unit for displaying a color sample of a plurality of monochrome pixel values and / or color pixel values. And a determination unit for determining a combination of monochrome pixel values and color pixel values desired by the operator by detecting designation by the pointing device for the color sample displayed by the color sample display unit. And a color sample of a plurality of monochrome pixel values and / or color pixel values is displayed by the color sample display unit. When the designation of the color sample displayed by the color sample display unit by the pointing device is detected, the determination unit determines the combination of the monochrome pixel value and the color pixel value desired by the operator.

According to a tenth aspect of the present invention, there is provided an image saturating apparatus having an interface for connecting a pointing device, a monochrome image display unit for displaying a monochrome image, and detecting designation of pixels of the monochrome image by the pointing device. A detection unit that detects a monochrome pixel value desired by the operator, a list display unit that displays a list of all detected monochrome pixel values, and an input of an addition / subtraction amount for the list of monochrome pixel values. An addition / subtraction unit for adding / subtracting the pixel value by the amount of addition / subtraction, and determining the combination of the monochrome pixel value and the color pixel value by combining the pixel value obtained by adding / subtracting the pixel value with the monochrome pixel value detected as the color pixel value. And a monochrome image display unit. Monochrome image is displayed, by the designation by the pointing device with respect to the pixel of the monochrome image is detected, the monochrome pixel values desired by the operator by the detecting unit is detected. A list of all monochrome pixel values detected by the list display unit is displayed. An input of an addition / subtraction amount with respect to the monochrome pixel values displayed in the list is received, and the pixel value is added / subtracted by the addition / subtraction unit by the received addition / subtraction amount. The combination of the monochrome pixel value and the color pixel value is determined by the determination unit by combining the pixel value obtained by adding or subtracting the pixel value with the monochrome pixel value detected as the color pixel value.

(First Embodiment) This embodiment will be described below with reference to the drawings. FIG. 1 shows a hardware configuration of the image chromaticity device of the present embodiment. The image saturating device of the present embodiment includes a scanner 21 for optically reading a monochrome photograph, a display 22 for displaying a monochrome image and an image in the process of being saturated, a personal computer 23 for starting a graphic editor, a mouse, a pen and a tablet, Pointing device 2 consisting of touch panel and keyboard
4. It is composed of a video deck 25 for reproducing a video cassette containing monochrome images. The display is displayed on the GUI, and the operator can interactively colorize the color image using a scroll window, a pull-down menu, a slide bar, a radio button, or the like.

The internal configuration of the personal computer 23 is shown in the functional block of FIG. The personal computer 23 includes a frame buffer 31 for storing one frame of image for work and a video deck 25.
NTS to convert NTSC signal, which is playback output from
A C / RGB conversion unit 32, an input unit 33 that outputs an event signal in accordance with an operation of a pointing device, and a personal computer 23
Operating system 34 (the hardware for the scanner 21, the pointing device 24, the NTSC / RGB conversion unit 32, and the like is provided on the operating system 34) This is an application program that operates on the operating system 34. The graphic editor 35 includes the control module 38 of the image chromatic device, a built-in hard disk device, an optical disk,
It comprises a disk device 36 composed of a magneto-optical disk or the like, and a processor 37. In the drawing, arrows indicate paths through which an input signal flows according to the occurrence of an event and paths through which pixel values flow. That is, they pass between the components indicated by the arrows. In this figure, arrows y1 and y2 indicate paths through which pixels flow, and the solid arrows pass through the frame buffer 31 and the pixel chromaticity device 40. This means that the pixel values that have been read and output from the pixel chromaticity device 40 are written to the frame buffer 31. In this figure, arrows y3, y4, and y5 indicate paths through which the input signals flow, which are directed from the input unit 33 to the pixel chromatic device 40. It means flowing through.

A number of frame buffers other than the frame buffer 31 are provided, and a plurality of images (frame buffers 41, 42, 43, 44,... In the figure) can be stored. . One of the plurality of frame buffers can be assigned to an original image, or the other one can be assigned to a work, and the plurality of frame buffers can be properly used depending on purposes. In the present embodiment, the frame buffer 41 is used for storing the original image, and the frame buffer 42 is used for the display 22.
Is used for expanding the display data. The image chromaticizer can switch an image on the display 22 to an image stored in any of the frame buffers by a predetermined switching procedure.

The color image chromaticized by the pixel chromaticization device 40 is printed out by a color printer via a SCSI interface and a printer interface (not shown) or converted into a data file in a still image format or a moving image format. And save. In these configurations, newly developed for the present embodiment are the pixel chromaticizer 40 and the control module 38. By operating these on an existing system, the system shown in FIG. It functions as an image saturating device.

Pixel Chromatizer 40 and Control Module 3
8 may be configured as an extension board of the personal computer 23 on which a gate array is mounted, or may be configured in the form of an application program started on a general-purpose operating system. When configured in the form of an application program, the program may be recorded in an executable file format on a floppy disk or an optical disk initialized to a format readable by an operating system and carried.

FIG. 4 shows an example of the contents stored in the frame buffer 31. As indicated by reference numeral y11, the position of each pixel stored in the frame buffer 31 is represented by XY coordinates with the origin at the left end of the screen (0, 0). The X coordinate is to the right (X = 0, Y = 0) (X = 1, Y = 0) (X = 2, Y = 0) (X = 3, Y =
0) (X = 4, Y = 0) and the value increases from 0 to 639. Y coordinate is downward (X = 0, Y = 0) (X = 0, Y = 1)
It increases as (X = 0, Y = 2) (X = 0, Y = 3) (X = 0, Y = 4) and takes a value from 0 to 399. The maximum value of the XY coordinates is set according to the resolution of the display 22 of 640 × 400.

Reference numeral y12 indicates a pixel value component stored in the frame buffer 31. In this figure, a square □ means a pixel at each XY coordinate, and
Numerical values such as (000,000,000) (016,016,016) (032,032,032) are in the order of (RED, GREEN, BLUE), and the R of the pixel value of each pixel is
The GB component is shown. In the present embodiment, each component of RGB takes a value of 0 to 255, so that 256 gradations can be given, and the display 22 can perform fine color expression. Since the storage contents in this figure represent the storage contents of a monochrome image, (255, 255, 25
5) (064,064,064) (000,000,000) (016,016,016), the RGB components have the same value.

The representation of pixel values in the RGB color space is indicated by reference numeral y13. Since each component of RGB has the same value, all the pixel values in the RGB color space are plotted on a straight line Rx = Gx = Bx. The representation of the pixel value in the HCL color space is indicated by reference numeral y14. In the HCL color space, a pixel value of a monochrome image has no chroma component or hue component, and is therefore plotted on a lightness axis. This is the end of the description of the content stored in the frame buffer 31.

FIG. 5 is a diagram showing a display example on the display 22. In the figure, the frame indicated by reference numeral a1 is
This is a frame for displaying a monochrome original image and a color image in the middle of chromaticization read by the scanner. The operator performs chromatic operation on the image in this frame. The arrow “←” on the original image is a cursor that is moved by operating a pointing device such as a mouse. You. In this sampling process, the coordinates of the pixel value indicated by the cursor are specified from the input amount input from the pointing device, and the RGB values of the specified coordinates are specified.
This is performed by reading the components from the frame buffer 31. When the cursor is dragged, the locus of the cursor is drawn as a curve. By drawing the trajectory, the operator can grasp which range is designated.
Since there is a possibility that the trajectory may be mistaken for the original image, it is desirable that the curve be drawn in a flashy color such as red or flashed to make it stand out. The operator operates the pointing device 24 while watching the cursor mark to surround the closed area on the display 22.

On the right side of the frame, a square “□□□□□□□□”
Are displayed over the upper and lower two columns. The upper part is a designated color part window filled with a gray scale, and the lower part is an adjusted color part window filled with a color sample. The designated color is
A pixel value prepared in the gray scale or a pixel value obtained by sampling a specified point on a read image, and the adjustment color is a hue, lightness, and saturation for the specified color. It means the given pixel value. Each of these small windows is individually designated as a first column, a second column, a third column,..., An nth column from the left end. The gray scale is a color sample in which a number of achromatic colors are arranged in the order of light and dark, and is displayed in a list in a designated color window on the display surface. Upper square """
□□ ”and the lower square“ □□□□□□□□ ”correspond to each other vertically adjacent to each other.

In the display example, the total number of the designated color window i column and the adjusted color window i column is eight, but the scroll bar b below it is provided.
By dragging 17, 17 or more designated colors and adjustment colors can be set. Numerical value columns b14, b15, and b16 displaying numerical values of "128", "0", and "0" are indicators indicating the values of the hue, saturation, and brightness of the designated color designated by the cursor. Since the color is an achromatic color, the saturation is “0”. (If the saturation is 0 (zero), the color becomes achromatic regardless of what hue is set.) Here, a numerical value from 0 to 255 can be input, but the input lightness and saturation are normalized to decimal values of 0.000 to 1.000, and the hue is 0 ° to 3
Normalized to an angle of 60 °.

The slide bars b11, b12, b13 on the right side are
The values of hue, saturation, and lightness are increased and decreased. When these values are moved right and left by dragging with a mouse, the pixel value of the designated color is given an amount of change corresponding to the increase or decrease of the slide bar. In addition, in this display example, there are icons for specifying “specified point sampling”, “area specification”, “specified color adjustment”, “colorization execution”, “colorization cancellation”, and the like using a pointing device. . These icons are intended to allow the operation of the image chromaticity device to be performed with all pens and mice. Note that the display example in FIG. 5 can be realized by using an existing window-type operating system, and a detailed description for displaying these will be omitted. This is the end of the description of the display example on the display 22.

The image saturating device according to the present embodiment specifies a region to be saturated, and saturates the specified closed region. First, the operation surface is significantly different from the conventional image saturating device in that the image saturating device according to the present embodiment can specify a region so as to include a portion that has already been saturated. . Secondly, "the dark part is set to the XX color system, the bright part is set to the XX color system, and the middle brightness is set to the XX color system. ], It is possible to roughly associate an achromatic color with a chromatic color in accordance with an object to be chromatic, and the closed area designated as an area is chromatic according to this association.

FIG. 3 shows the internal configuration of the pixel chromaticization device 40. When the control module 38 receives a chromatic instruction, the control module 38 reads pixels constituting the image in the frame buffer from the top to the end, and sequentially supplies the pixels to the pixel chromatic device 40. The pixel chromaticization device 40 chromaticizes the inside of the closed area specified by the pointing device among the pixels read from the frame buffer 31 according to the combination of the specified color and the adjustment color, and outputs the color to the frame buffer 31. I do. The output pixels are written into the frame buffer 31 by the control module 38.

As shown in the block diagram of FIG. 3, the pixel chromaticization device 40 includes a designated color recording memory 101, an adjusted color recording memory 102, a pre-calculation unit 103, and a mapping parameter recording unit 10.
4. A mapping unit 105, an achromatic determination unit 106, an achromatic / chromatic switch 107, an area designating unit 108, and area inside / outside switches 109A and 109B. In the figure, solid-line arrows c13 to c18 indicate paths through which the pixel values flow, and solid-line arrows c14, c15, and c16 indicate the area inside / outside changeover switch 109A, the mapping unit 105, the achromatic-chromatic changeover switch 107, and the area. The pixel value passes through the inside / outside changeover switch 109B. The pixel value is given to the mapping unit 105 via the inside / outside changeover switch 109A, and the pixel value output from the mapping unit 105 is output from the achromatic / chromatic changeover switch 107, This means that the signal is output via the changeover switch 109B. Apart from the solid-line arrows c14, c15, and c16, an achromatic / chromatic changeover switch 107 is set
The route to is indicated by arrow c17. The path indicated by the arrow c17 is a detour for outputting the pixel input to the pixel chromaticization device 40 to the achromatic / chromatic changeover switch 107. Apart from the solid line arrow c17, the area inside / outside changeover switch 109A is moved from the area inside / outside changeover switch 10A.
The route to 9B is indicated by an arrow c19. This arrow c
The path indicated by 19 is a detour that outputs a pixel input to the pixel chromaticity device 40 between the inside / outside switch 109BA and the inside / outside switch 109B.

Hereinafter, the constituent elements of the pixel chromaticization device 40 shown in FIG. 3 will be described in the order of reference numerals. The designated color recording memory 101 stores gray scale information and designated colors on the display surface. As shown in the figure, the storage area of the designated color recording memory 101 is divided into a first column, a second column, a third column,..., An nth column, and a designated color is written in each column.

The adjustment color recording memory 102 stores information on color samples and adjustment colors on the display surface. As shown in the figure, the storage area of the adjustment color recording memory 102 has a first column, a second column, and a third column.
,..., N-th column, and the adjustment color is written in each column. In the pre-calculation unit 103, the pixel value is set to LCH
Are converted into a system, and calculations shown in the following formulas 3 to 5 are performed from a set of the designated color and the adjustment color recorded in the designated color recording memory 101 and the adjustment color recording memory 102, and mapping parameters P0 and P1 obtained as the calculation result are obtained. , P2, P3,... Pn are recorded in the mapping parameter recording unit 104.

More specifically, the pre-calculation section 103 stores a plurality of (n) designated colors (HS1, CS) stored in association with the designated color recording memory 101-adjusted color recording memory 102.
1, LS1) to (HSn, CSn, LSn) and a plurality of (n) adjustment colors (HD1, CD1, LD1) to (HDn, CDn) corresponding to them.
n, LDn) and calculating (HDi−HSi, CDi−CSi, LDi−LSi) between the adjustment color Di and the designated color Si, the designated color recorded in the designated color recording memory 101 is obtained. , The displacement amount (HQi, CQi, LQi) for displacing to the adjustment color recorded in the adjustment color recording memory 102 (i =
0, 1, 2, 3, 4, 5,... N) are calculated.

After the calculation, the pre-calculation unit 103 sets the n designated colors (HS, CS, L) recorded in the designated color recording memory 101.
S) is read out, and distances dij (i, j = 0, 1, 2,...) Of all combinations between the designated color Si and the designated color Sj in the LCH space system are read out.
3, 4, 5,... N) are calculated. That is, the designated colors (HS1, CS1, LS
1) and a specified color (HS1, CS1, LS1), a distance d11, a specified color (HS1, CS1, LS1) and a specified color (HS2, CS2, LS2) d12, ..., a specified color (HSi, CSi, LSi) and specified color (HS
j, CSj, LSj), the specified color (HSn, CSn, L)
The distance dij of all the combinations is obtained, such as the distance dnn between the specified color (Sn) and the designated color (HSn, CSn, LSn).

The obtained set of n × n distances dij can be expressed as a matrix [F] as shown in the following equation (3).

[0048]

(Equation 3) Next, the pre-calculation unit 105 calculates a matrix [L] of weight coefficients corresponding to the obtained matrix [F]. The weight coefficient matrix [L] can be expressed as shown in Expression 4.

[0049]

(Equation 4) FIG. 6A is a graph showing a weight coefficient function. When one distance d is given, the weight coefficient f (d) is uniquely determined. In this graph, the weighting factor f (d)
Decreases monotonically from d = 0 to d = 1, and becomes 0 for 1 or more d. The weighting coefficient function f (d) is a function using a linear expression, a quadratic curve, a standard deviation, a sine function, and a cosine function. Can be expected.

FIG. 6B is a three-dimensional representation of the change in the distance function L shown in FIG. 6A. The distance function L is (0,
A convex portion having a vertex of (0, 1) is formed. This protrusion is
At d00 where the distance d becomes 0, the point becomes the vertex (0,0,1), and as it goes in the direction shown by the arrow “→” (the arrow “→” in the figure).
Indicates that the distance from (0,0,0) is increasing. ), Its height gradually approaches “0”.

After calculating the matrix, the pre-calculation unit 105 calculates the inverse matrix [L] ^-1 of the weight coefficient matrix [L], and calculates the inverse matrix and the adjustment amount in accordance with the following equation (5). Is calculated and recorded in the mapping parameter recording unit 104 as the mapping parameter Pi = (HPi, CPi, LPi) in the LCH space system. Thus, the designated color Si and the adjustment color Si
For each setting of, one mapping parameter P
.., Pn are generated and recorded in the mapping parameter recording unit 104.

[0052]

(Equation 5) As will be described later using a graph, the mapping parameter Pi (i = 0,
1, 2, 3, 4, 5,... N) are input to the designated color recording memory 101 when the pixel value of the same value as the achromatic color Sn is input and Sx = Sn is satisfied. Is output.

The total number n of the mapping parameters P0, P1, P2, P3,... Pn increases as the number of set designated colors and adjustment colors increases. That is, the mapping parameter generated by the mapping unit 105
That is, the number of dimensions of P0, P1, P2, P3,... Pn increases. The higher the number of dimensions, the higher the degree of freedom in chromaticization, but the greater the computational load. It is preferable that the number of designated colors and the number of adjusted colors be set appropriately according to the processing speed of the personal computer 23. Normally, the speed of chromaticization is tried several times, and the number of designated colors / adjusted colors is adjusted.

The pre-calculation unit 103 includes the designated color recording memory 10
If the color space of the colors recorded in the first and adjustment color recording memories 102 is different from the color space in which the mapping operation is performed, the conversion from the color space recorded in each recording memory to the color space in which the mapping operation is performed is also performed at the same time. Some of the widely used color spaces include
RGB space represented by three attributes of red, green, and blue; HCL space represented by three attributes of lightness, saturation, and hue; HSV space; HLS
XYZ space, YUV space, CIE-LUV space which is a uniform space as space and space expressed by other attributes,
CIE-La * b * space and CMY space. Any combination of the color space in which the designated color recording memory 101 and the adjustment color recording memory 102 perform recording, the color space in which the pre-calculation unit 103 and the mapping unit 105 perform computation, and the color space of input pixels and output pixels, or Regardless of the color space, an effect similar to that of the present embodiment can be expected by performing appropriate color space conversion in the pre-calculation unit 103 and the mapping unit 105. This is the end of the description of the pre-calculation unit 103.

The mapping parameter recording unit 104 is a memory in which the storage area is divided into a first column, a second column, a third column,... is there. The mapping unit 105 converts the input pixel value Sx expressed in the RGB space into the HCL space coordinate system, and maps the mapping parameters P0, P1, P2, P recorded in the mapping parameter recording unit 104.
... Based on Pn, a mapping is performed by a mapping function shown in {Equation 6} below. The mapping result is again converted to an RGB space in color space and output as an output pixel Dx

[0056]

(Equation 6) The mapping function of {Equation 6} has mapping parameters P0, P1, P2, P3,.
Calculated based on Pn and distance function L. The process of calculating the mapping parameters P0, P1, P2, P3,... Pn will be described.
When the chromaticization instruction is performed by the operator, the mapping unit 10
Reference numeral 5 first reads and inputs n designated colors (HSi, CSi, LSi) (i = 0, 1, 2, 3, 4, 5,... N) recorded in the designated color recording memory 101. Pixel x and specified color (HSi, CSi, LSi)
Xi (i = 0, 1, 2, 3, 4, 5,... N). Specifically, the distance dx1 between the designated color (HS1, CS1, LS1), the distance dx2 between the input color (HSx, CSx, LSx) and the designated color (HS2, CS2, LS2),..., The input color (HSx, CSx, LSx) and specified color (HS
3, CS3, LS3), input color (HSx, CSx, L)
The distances to all the specified colors Si stored in the specified color recording memory 101 are obtained, such as a distance dxn between the specified color (Sx) and the specified color (HSn, CSn, LSn).

For the obtained distance dxi (i = 0, 1, 2, 3, 4, 5,... N), the distance function L is represented by L (Sx, S0), L (Sx, S1),
L (Sx, S2), L (Sx, S4), L (Sx, S5), L
(Sx, S6)... When the distance function for each achromatic pixel stored in the designated color recording memory 101 is calculated by the above calculation, the mapping parameters P0, P1, P2, P
3 ... Read out Pn.

Secondly, the read mapping parameters P0, P1, P
From the P2 and the distance function L, L (Sx, S0) P
0 + L (Sx, S1) P1 + L (Sx, S2) P2 + L (S
x, S4) P4 + L (Sx, S5) P5 + L (Sx, S6)
P6 ... + Sx is calculated. This calculation is a mapping calculation, and the calculation result is a pixel value of the adjustment color Dx. The mapping performed here is such that the position of the input pixel Sx in the color space is moved by an amount obtained by multiplying the distance function LXn = L (Sx, Sn) by the mapping parameter Pn. Here, only the hue axis (H axis) of the color space is considered, but the same processing is performed on the lightness axis (L axis) and the saturation axis (C axis).

The number of sets of achromatic colors and adjustment colors recorded in the designated color recording memory and the adjustment color recording memory is set to 3, and the distance from the achromatic black recorded in the designated color recording memory to the X axis is represented by X-axis. FIG. 7A is a graph showing the calculation result of {Equation 6} when the value of the mapping parameter is set on the Y axis. The dashed line graph c1 is a graph having the maximum point in the designated color S1. The maximum point takes the value of the mapping parameter P1, and monotonically decreases as the distance from the designated color S1 increases. From such characteristics, it can be seen that the broken-line graph c1 represents L (Sx, S1) · P1.

The dashed line graph c2 is a graph having the maximum point in the designated color S3. The maximum point is the mapping parameter
P3, which monotonically decreases as the distance from the designated color S3 increases. From such characteristics, the broken line graph c2 is L (Sx,
S3) · P3. Broken line graph c3
Is a graph that takes the minimum point in the designated color S2. The maximum point is the mapping parameter P2 having a negative value, and the designated color S2
It decreases monotonically as it moves away from it. From such characteristics, it can be seen that the dashed line graph c3 represents L (Sx, S2) · P2.

The solid line graph D1 has a value obtained by adding the broken line graphs c1, c2, and c3 for the designated color S1. Input color S
When x matches the designated color S1, L (Sx, S1) becomes 1. When this is multiplied by the mapping parameter P1, L
(Sx, S1) · P1 is the size of the mapping parameter P1, and is less than the size of the adjustment color D1. L (Sx, S
3) By adding P3 and subtracting L (Sx, S2) · P2, {Formula 6} takes the value of the adjustment color D1. As a result, the designated color S1 is mapped to the adjustment color D1 (the mapping parameters P0, P1, P2, and P3 originally have the displacement amounts Q1 and Q1).
2, Q3 and distance functions L11, L12, L13, L22 ...
・ The specified color SX =
In the case of the designated color S1, the adjustment color D1 is output as the adjustment color Dx. ).

When the input color Sx matches the designated color S3, L
(Sx, S3) becomes 1. The mapping parameters P0, P1,
.. Pn are multiplied to obtain L (Sx, S3) · P3
Becomes the size of the mapping parameter P3 and is smaller than the size of the adjustment color Si. In the calculation of {Formula 6}, the component of L (Sx, S2) · P2 + L (Sx, S1) · P1 is added to determine the adjustment color Dx. By the sum of these, L (S1, S1)
P1 + L (S2, S3) .P2 takes the value of Q3. As a result, the designated color S3 is mapped to the adjustment color D3.

When S1 <S4 <S3 and Sx = S4 is satisfied, the input color Sx takes the value of D4. The designated color S4 is mapped to the adjustment color D4. S3 <S5 <S2,
When Sx = S5 is satisfied, the input color Sx takes the value of D5.
As a result, the designated color S5 is mapped to the adjustment color D5. That is, input color Sx <specified color S1, specified color S1 <input color Sx
<Specified color S3, specified color S3 <input color Sx <specified color S2, specified color S
When any value of 3 <input color Sx is taken, the adjustment color Dx takes a value on the graph. This is the mapping by the mapping unit 105.

When the graph of {Formula 6} is three-dimensionally expressed,
The result is as shown in FIG. The designated color S1 and the designated color S3 form a gentle convex portion, and the vicinity of the designated color S2 forms a gentle concave portion. The curve of {Equation 6} has such a shape,
This is because they are formed by adding the shapes of the distance functions L. The solid in FIG. 7B is formed from an arbitrary combination of the designated color and the adjustment color. When the combination of the designated color and the adjustment color is changed, {Formula 6} forms a different shape. For example, the displacement Qi can be increased to make the gradient of the solid three-dimensionally sharp or flat. By increasing the number of designated colors and adjustment colors, it is possible to form a three-dimensional object using many irregularities. The operator can freely change this solid by changing the combination of the designated color and the adjustment color. This concludes the description of the mapping unit 105.

The achromatic color determination unit 106 determines whether the pixel value of the input pixel Sx is achromatic by verifying the pixel value of the input pixel Sx. 107 is switched to the mapping unit 105, and if it is not achromatic, it is switched to the bypass c17. When the R, G, and B components of the input pixel Sx are integer values in the range of 0 to 255, the achromatic pixel value is a pixel value in which all RGB components match, that is, (0, 0, 0) ) (1,1,1) (2,
Since it is expressed as (2,2) to (255,255,255), the achromatic color determination unit 106 verifies whether or not the pixel value of the input pixel Sx is in the relationship of Rx = Gx = Bx. Should be satisfied. However, the pixel value of the monochrome image read by the scanner 21 or the monochrome image converted to digital by the NTSC / RGB conversion unit 32 is determined by an error.
The relationship x = Gx = Bx may not be satisfied. In view of such an error, in the present embodiment, the condition for achromatic color is Rx ≒ Gx ≒ Bx. That is, the condition for achromatic color is relaxed. Rx ≒ Gx ≒ B
The relation of x is the difference between Rx and Gx, the difference between Gx and Bx, Rx
If the difference between Bx and Bx is equal to or less than a predetermined value, it can be considered that the condition holds. If these differences are equal to or smaller than a predetermined value, the achromatic determination unit 106 determines that the relationship of Rx ≒ Gx ≒ Bx holds and determines that the image is achromatic.

As a result of the switching based on the verification, the mapping unit 10
Only the pixels that were originally achromatic out of the pixels resulting from the chromaticization by 5 are output. In the prior art, as shown in FIG. 27, when coloring the face of a person as described above, first, the lips are designated as an area and chromatic with a reddish color. However, in the present embodiment, of the output results of the mapping unit 105, only those that were originally achromatic are output, and the chromatic pixel values are output through.
That is, the chromatic portion is not overcoated. When the face is to be chromatic, the entire face of the person may be chromatic, as shown in FIG. 25, by specifying the entire area of the face so as to cover the lips. By the switching by the achromatic color determination unit 106, the operator only has to repeat the chromaticization so as to include the previously painted portion without being conscious of the overcoating. This is the end of the description of the achromatic determination unit 106.

The area specifying unit 108 obtains the XY coordinates of the outline of the closed area from the input unit 33 and refers to the XY coordinates of the input pixel read from the frame buffer 31 to determine the input pixel. It is determined whether it is inside or outside the closed area surrounded by the cursor mark. If it is outside the closed area, the area inside / outside changeover switches 109A and 109B are switched to the mapping unit 105 and the achromatic / chromatic changeover switch 107 side.
109B is switched to the detour side c19. This is the end of the description of the area specifying unit 108.

A case in which the black-and-white apple shown in FIG. 24A is colored using the image coloring device according to the present embodiment will be described. The right half of this apple is represented in dark black,
As you move to the left, the darkness of black decreases. this is,
The apple is more ripe on the right side and less mature on the left side. FIG. 24B is a chart showing the correspondence between designated colors and adjusted colors when a black-and-white apple is chromatic. In the drawing, designated colors are designated point A, designated point B,
The achromatic color at the designated point C is sampled. The sampling values are as follows. Specified point A (brightness, saturation, hue) (0.44,0,0) Specified point B (brightness, saturation, hue) (0.98,0,0) Specified point C (brightness, saturation, hue) (0.15, 0,0) The specified point sampled by operating the slide bar is given the lightness, saturation, and hue of the figures in the figure. Specified point A (brightness, saturation, hue) (0.36, 0.80, 117) Specified point B (Brightness, saturation, hue) (0.88, 0.36, 155) Designated point C (brightness, saturation, hue) (0.16, 0.30, 108) Ripe designated point A is given high vividness (saturation 0.80), The designated point B and the designated point C are given lower vividness (saturation 0.36 0.30).

The designated points A and C that are mature are given a red tint (hues 117 and 108), and the designated point B is given a lighter yellow color (hues 155). The designated point A and the designated point C are
It is expressed in dark and shade in a monochrome image. Hues in the range of 117 to 108 are given to the pixels in the corresponding portion by the mapping unit 105 in accordance with the shading. The hue change given by the mapping unit 105 draws a curve as shown in FIG. 7B according to the distance from the designated color. Can be

The immature part is represented by a whitish shade in the monochrome image. The hue in the range of 117 to 155 is given to the pixel of the corresponding portion according to the shading. The hue change in 117 to 155 given by the mapping unit 105 draws a curve according to the distance from the designated color as shown in FIG. 7B, so that the immature part of the apple has a hue that changes in a curve. Yellow color is given.

If a certain combination of a designated color and an adjustment color is used to specify how bright and dark portions of the object surface should be chromatic, the mapping unit 105 appears as a light and dark portion in the monochrome image. The degree of curvature of the object surface and the undulation of the object surface are expressed by changes in color. This color image is expressed in a smooth manner in proportion to the brightness of monochrome pixels, as shown by the curve shape in the graph of FIG. 7 (b). It is not a typical hue, but a three-dimensional hue. This is the end of the description of the setting example of the designated color and the adjustment color when the apple is colored.

The control module 38 is an executable program in which the procedures shown in the flowcharts of FIGS. 11 to 18 are coded, and these procedures are decoded by the processor 37 one by one. Hereinafter, the processing of the image chrominizing device will be described with reference to the flowcharts of FIGS. 11 to 18 are the main flow of FIG. 11, and the flow chart of FIG. 12 is the flow chart of the sampling process of the designated point. Similarly, the flowchart of FIG. 13 is a flowchart of the adjustment color adjustment processing, and the flowchart of FIG. 14 is a sub-flowchart of the area designation processing of the closed area. FIG.
Step M in the flowchart of FIG. 12, step N in the flowcharts of FIGS. 12, 13 and 14, and step P in the flowcharts of FIGS. Are distinguished from each other by using different alphabetical reference symbols.

First, the main flow chart of the image chromatic device will be described with reference to the flow chart of FIG. Now, the operating system 34 has already been activated by turning on the power. The display on the display 22 prompts the user to select an application stored in the disk device. If the operator operates the pointing device in this state, the cursor position moves according to the operation. When the click operation or the return key is pressed, the item at the cursor position is selected. Here, the icon indicating the graphic editor is clicked, and the flow shifts to step M1 in the flowchart of FIG. When the application is started,
In step M2, the processor 37 displays an icon, a scroll bar, and a pull-down menu, and loads the control module 38 into the main memory. In the display example shown in FIG. 5, the processing shown in the flowchart of FIG.
If it progresses to, it will be reflected on the display.

After the execution of step M2, the process proceeds to step M3. At step M3, the processor 37 is in an event waiting state. If an event is entered,
The process moves from step M3 to step M4. In step M4, a process to be executed is specified from the input event. Here, there are six types of processing to be executed: Steps M5 to M10. When step M5 is specified, the image of the original image is read out from the disk device 36 to the frame buffer 31. When step M6 is specified, the pointing device samples the pixel value of the designated point. When step M7 is specified, an adjustment color for the sampled designated point is set. When step M8 is specified, the designation of the closed area on the image is started.
When step M9 is specified, chromaticization of the closed area specified as the area is executed. When step M7 is specified, the designated color displayed in the designated color window i column is selected, and when step M10 is specified, addition / subtraction adjustment using a slide bar is performed. This is the end of the description of the main flowchart shown in FIG.

Next, the sampling process of the designated color will be described with reference to the flowchart of FIG.
Now, the sampling process is selected by the specific process from the input event in step M4, and the processor 3
Reference numeral 7 denotes a standby state for input from the pointing device. In step N1 of the flowchart, it is determined whether a mouse click has been made. If so, the process proceeds to step N2. If not, the process proceeds to step N1 to continue the standby state.

When the operator moves the cursor over the image using the pointing device and clicks on the monochrome image while continuing the standby state, the processor 3
7 goes to step N2 for the first time. At Step N2, the RGB components at the position of the cursor are read. After the execution of step N2, the process proceeds to step N3, in which all the read pixel values are converted into the LCH space system as the pixel values of the designated point, and the designated color recording memory 101 is designated as the designated color (HSi, CSi, LSi). To record. After execution of step N3, the processor 37 proceeds to step N4 and fills the designated color child window i column with the read pixel values. After execution of step N4, the process moves to step M3. By repeating the processing of this flowchart, the designated color window is filled with several designated colors. This is the end of the description of the designated color sampling process in FIG.

Next, the setting process of the adjustment color Di will be described with reference to the flowchart of FIG.
According to the flowchart of FIG.
It is painted with several achromatic colors. In this state, when the process proceeds from step M4 to step N5, in step N5, the processor 37 is in a standby state for clicking on any of the specified color child windows displayed in the list. If not, the standby state is continued in step N5. When the operator performs an operation using the pointing device while continuing the standby state, the process shifts to step N7 for the first time. In step N7, the pixel value k of the clicked designated colorant window i is stored in the designated color recording memory 101.
Read from

After the execution of step N7, the process moves to step N8. In step N8, the processor 37 displays the read HCL component of the pixel value k in the numerical value column. This display allows the operator to understand how large the sampled pixel value is. Next, the adjustment process of the pixel value using the slide bar will be described with reference to the flowchart of FIG. According to the flowchart of FIG. 13A, the designated color window window i is clicked, and the pixel value of the clicked designated color window i column is displayed in the numerical value column. In this state, step M
When the process proceeds from step 4 to step N9, in step N9,
The processor 37 determines whether an operation has been performed on the slide bar. If so, the process proceeds to step N10, and if not, the process returns to step N9 to continue the standby state. When the operator moves the slide bar left and right using the pointing device while continuing the standby state, the process shifts to step N10 for the first time. At step N10, L is calculated from the drag amount on the slide bar.
The amount of addition and subtraction for each component in the CH space system is measured. After execution of step N10, the process moves to step N11. In step N11, the pixel value is calculated based on the measured addition / subtraction amount.
The numerical value column is updated with k, and in step N14, the determined pixel value k is converted into an RGB component. Step N15
In step N13, the column of the adjustment color child window i is filled with the converted pixel value of the adjustment color Dk. In step N13, the pixel value k of the color pixel is stored in Write in the field.

If the operator is satisfied with looking at the adjustment color child window i column filled with the color, the adjustment color has been set. Perform an input operation on the slide bar. The operation on the slide bar is performed many times, and the adjustment color toner window i column is drawn in a color that the operator can understand. The above process is repeated for all designated colors sampled in the flowchart of FIG.
By setting the adjusted color in the columns 1, 2, 3, 4, 5,... This is the end of the description of the adjustment processing of the adjustment colors shown in FIGS.

Next, the specification of the closed area by dragging with the mouse will be described with reference to the flowchart of FIG. Now, the area designation process is selected by the specific process from the input event in step M4, and the processor 37 waits for mouse drag input by determining in step P1 whether mouse drag has been performed. . If the mouse drag is performed, the process proceeds to Step P2, and if not, the standby state is continued. When the operator performs an operation using the pointing device while continuing the standby state, the process shifts to Step P2 for the first time. In step P2, the input unit 33 converts the digital input amount emitted from the input port into coordinate values, and stores the coordinates on the image through which the cursor has passed. The trajectory traced by the cursor is (0,110) (10,150) (20,180) (40,230) ... (40,230) depending on the accuracy of A / D conversion.
Is represented by discrete coordinate values.

After executing Step P2, the process shifts to Step P3. In Step P3, it is determined whether the finger has been released from the mouse button. If so, the process proceeds to Step P4, and if not, the process proceeds to Step P1. When the user moves the cursor on the image while holding the pointing device, the coordinates at which the cursor has passed are sequentially stored in step P2. When the cursor is moved and the finger is released from the button, this is determined in Step P3.
If it is determined that the finger has left the button, step P
At 4, the closed area is created by connecting the start point and the end point of the cursor trajectory. This is the end of the description of the flowchart area designation processing shown in FIG.

Next, the outline of the rewriting process of the pixel value in the designated closed area will be described with reference to the flowchart of FIG. Now, chromaticization inside the closed region is selected by the specific processing from the input event in step M4. In Step P4, the processor 37 determines whether or not an instruction to execute chromaticity has been issued. If so, proceed to Step P5; if not, go to Step P5.
Returning to step 4, the standby state is continued. When the operator performs an operation using the pointing device while continuing the standby state, the process shifts to Step P5 for the first time. In Step P5, the processor 37 activates the pixel chromaticizer 40. After executing Step P5, the process shifts to Step P6. In Step P6, the designated color i and the adjusted color i (i = 0, 1, 2, 3,
Read out all 4,5 ... n). After executing Step P6, the program shifts to Step P7. In Step P7, the pre-operation unit 1
A mapping parameter Pi (i = 0, 1, 2, 3, 4, 5,..., N) is created from the designated color and the adjustment color read out at step 03, and stored in the mapping parameter recording unit 104. This concludes the description of the outline of the rewriting process in the closed area.

Next, the pixel value rewriting process will be described in detail with reference to the flowchart of FIG.
In the following flow charts, variables X and Y are variables for specifying the pixel from which the pixel value is to be read, and variables i and j are the respective designated colors stored in the designated color recording memory 101. This is a variable for specifying the pixel value of the color or the pixel value of each adjustment color recorded in the adjustment color recording memory 102.

This flow chart has a loop structure in which the processing of the following steps P10 to P18 is repeated for all of the X coordinates.
10 to P18,
It has a loop structure that repeats for all Y coordinates. In step P10, the processor 37 sets the RGB
The pixel value of the coordinates (X, Y) represented by the component is read from the frame buffer 31. After executing Step P10, the process shifts to Step P11. In Step P11, it is determined whether or not the coordinates (X, Y) of the read pixel (X, Y) are inside or outside the closed area specified by the mouse.
If inside, the process shifts to Step P12, and if outside, the process shifts to Step P19. While the pixel values of the pixels outside the closed area are being read, in step P19, the area inside / outside switch 109 is switched to the detour side. In Step P12, when the pixel values inside the closed region start to be read, the display is switched to the pixel chromaticization device 40 side. When the mode is switched to the pixel chromaticization device 40 in Step P12, the process proceeds to Step P13. Step P
At 13, the pixel value of the pixel (X, Y) is converted to the LCH space system.
After executing Step P13, the process shifts to Step P14.
In Step P14, the mapping unit is caused to create colorized adjustment colors (HDx, CDx, and LDx). After executing Step P14, the program shifts to Step P15. In Step P15, the adjustment colors (HDx, CDx, LDx) are converted to an RGB space system.

While the pixel value conversion is being performed in step P13, in step P16, the achromatic determination section 10
6 is activated, and the red component Rx and the green component G of the pixel (X, Y) are
It is determined whether or not x and the blue component Bx satisfy the relationship of Rx ≒ Gx ≒ Bx. The activation of the mapping unit 105 in step P16 causes steps P13, P14, P15
While the calculation of the adjustment color in is performed, the pixel (X, Y)
Is determined for the achromatic color.

After the end of steps P15 and P16, the flow shifts to step P17. In Step P17, the achromatic / chromatic changeover switch 107 is switched. Here, the achromatic / chromatic changeover switch 107 is switched to the mapping unit side for an achromatic color, and is switched to the detour side for a color pixel. If an achromatic color is obtained by this switching, the mapping unit 105
Is output to the frame buffer 31 side, and if it is not achromatic, the input pixel value is output as it is as the output pixel value.

In step P18, the processor 37 overwrites the pixel value of the coordinates (x, y) with the pixel value of the adjustment color output from the achromatic / chromatic changeover switch 107 in step P17. Steps P12 to P1 described above
When step 9 is executed, the X coordinate is incremented by 1 and the coordinate from which the pixel value is to be read is incremented. This is repeated for one row of the X coordinate, and the loop processing of Steps P10 to P18 ends.

When the above loop processing for the X coordinate is executed, the Y coordinate is incremented by one. When the loop processing in step P9 is repeated for all the Y coordinates, all the pixels on the image have been scanned, and the pixel values have been rewritten. Next, referring to the flowchart of FIG.
Will be described. Now, the closed area is designated and the combination of the designated color and the adjustment color is determined.
3 has been activated. When the pre-calculation unit 103 is started, in step Q1, the mutual distance between the achromatic pixel values stored in the designated color recording memory 101 (the designated colors (HSi, CSi, LSi) in the LCH space system) and the designated colors (HSj) , CSj, L
The distance dij) from Sj) is measured. After the execution of step Q1, the process moves to step Q2. In step Q2, a distance function L is calculated for the measured distance dij, and stored in a matrix. Then, the inverse determinant L ^-1 of the distance function L stored as described above is calculated. After execution of step Q2, the process proceeds to step Q3. In step Q3, a displacement (HQi, CQi, LQi) between the designated color (HSi, CSi, LSi) and the adjustment color (HDi, CDi, LDi) is calculated. Step Q
After the execution of 3, the process proceeds to step Q4. Step Q4 is an initialization step. Specifically, the contents stored in the mapping parameter recording unit 104 are cleared to zero ((HPj, CPj,
LPj) ← 0 (j = 0,1,2,3,4,5... N)). After the initialization in step Q4, mapping parameters are created by the double loop processing in steps Q5 to Q7. The loop processing in step Q6 has a loop structure in which the subsequent processing in step Q7 is further repeated for all of i = 0, 1, 2, 3, 4, 5,. The loop processing of step Q6 is performed by j = 0, 1, 2, 3, 4,
It has a double loop structure that is repeated for all 5... N.

In the process of step Q7, the component L ^-1 ij of the i-th row and the j-th column in the inverse matrix L ^-1 is multiplied by (HQi, CQi, LQi), and the result is represented by (HPj, CPj, LPj). And the result of the addition is substituted into (HPj, CPj, LPj).
When it is repeated for i, an operation of 1 row × 1 column in {Equation 4} is executed, and when Step Q7 is repeated for all js, an operation of n rows × 1 column in {Equation 4} is executed.

For all variables i and j, step Q5,
When Q6 is repeated, the loop processing ends. As a result,
Mapping parameters consisting of n components (HPj, CPj, LPj)
(j = 0, 1, 2, 3, 4, 5,... n) are generated, and are recorded in the mapping parameter recording unit 104. This is the end of the description of the processing of the pre-operation unit 103 shown in the flowchart of FIG.

Next, the mapping process of the pixel values of the adjustment colors (HDx, HDx, HDx) by the mapping unit 105 will be described with reference to the flowchart of FIG. Step R1 of this flowchart is an initialization process, in which variables (HDx, HDx, and HDx) provided for storing adjustment colors are used to store the input color (H
Sx, CSx, LSx). After execution of step R1, the process moves to step R2. In step R2, i =
It has a loop structure in which the processing of the subsequent steps R3 to R5 is repeated for all of the designated colors 0, 1, 2, 3, 4, 5,. In step R3, the distance dxi between the input color (HSx, CSx, LSx) and the designated color (HSi, CSi, LSi) in the color space is measured. As a result, the input pixel x
Input colors (HSx, CSx, LSx) and designated colors (HS1, CS1, LS
1), the distance dx2 between the input color (HSx, CSx, LSx) and the designated color (HS2, CS2, LS2),..., The input color (HSx, C
Sx, LSx) and the specified color (HS3, CS3, LS3) dx3,
…, Input color (HSx, CSx, LSx) and designated color (HSn, CSn, L
Sn), the designated color recording memory 1
The distances to all designated colors Si stored in 01 are obtained.

Using the obtained distance, L (Sx, Si) is calculated. Thus, the distance function L is represented by L (Sx, S
0), L (Sx, S1), L (Sx, S2), L (Sx, S
4), L (Sx, S5), L (Sx, S6)... After execution of step R3, the process proceeds to step R4. In step R4, the mapping parameters (HPi, CPi, LP
Read i). After execution of step R4, step R5
Move to In step R5, L (Sx, Si) and (HP
i, CPi, LPi), and the result of the multiplication is added to the adjustment colors (HDx, HDx, HDx) stored so far, and is substituted for the adjustment colors (HDx, HDx, HDx). When the above steps R1 to R5 are executed one by one, the coordinates are incremented by one. By the combination of this multiplication and addition, L (Sx, S0) · P0 + L (Sx,
S1) · P1 + L (Sx, S2) · P2 + L (Sx, S4) · P4
+ L (Sx, S5) P5 + L (Sx, S6) P6 ... + Sx
Is calculated. This is repeated for all i, and the loop processing of steps R2 to R5 ends. As described above, when a series of processes from Step R2 to Step R5 is performed, the operation shown in {Formula 6} is performed.
This concludes the description of the mapping process shown in the flowchart of the mapping unit 105.

An example of chromaticizing a monochrome image using the functions of the image chromaticizing device realized in the above-described flowchart will be described. The target monochrome image here is
It is a still life with apples, pears, oranges, and lemons on the plate on the table. Apples and pears are located closer to oranges and lemons. The apple in this monochrome image is a ripe apple that looks dark. The operator first operates the adjustment color and the slide bar,
The brightest part is set to yellow green, and the dark part is set to dark red. The middle part of the brightness is set to red. After the setting, chromaticization is performed by designating an apple area. Performing chromatication gives the apples in the frame a hue. If the user does not like this hue, the user cancels the hue, resets the designated color and the adjustment color, and executes chromaticization again.

[0094] When coloring a pear, dark parts are set to yellow-green. The lightest part is set to light blue, and the middle part is set to light yellow. After the setting, the area is designated and pearing is executed. Performing chromatication gives the pears in the frame a hue. If the user does not like this hue, the user cancels the hue, resets the designated color and the adjustment color, and executes chromaticization again. The image saturating device according to the present embodiment repeatedly performs the area designation and the rough correspondence between the designated color and the adjustment color according to the object to be saturated, thereby achieving a chromaticity suitable for the operator's sensitivity. It is going to be.

As described above, it is possible to individually set the designated color-adjustment color combination such as a pear for an pear and an apple for an apple to specify an area, but in this embodiment, the mapping by the mapping unit 105 is performed. Works, so the dark part is set to yellow-green, the brightest part is set to red, pears and apples are designated collectively, and apples and pears are grouped together in a still life painting displaying fruits It is also possible to chromatic. When the colors of the apples and pears are satisfied, the operator designates the areas of oranges and lemons displayed behind the apples and pears. This area designation may include the entirety of chromatic apples and pears. This is because the achromatic determination unit 106 skips the chromaticization of the apple and pear portions even if they are included. In the designated color window i column / adjustment color window i column, dark areas are set to persimmon, and bright areas are set to yellow. When the chromaticization is performed, a hue that smoothly changes to a curved surface as shown in the graph of FIG. 7B is given.
After the orange and lemon have been colored, start specifying the background area. The region designation of the background portion may include a part of chromatic oranges and apples. The background part is set lower than the front side, so that apples, pears, oranges, and lemons stand out. By repeating such operations, the monochrome image is gradually chromatic, and a beautiful color image can be obtained. This concludes the description of an actual example of chromaticization by the present image chromaticization device.

According to the above-described embodiment, even if the area is specified so as to include the chromatic portion, the rewriting of the chromatic pixel value is prohibited, and the pixel value of the pixel included in the monochrome portion is prohibited. Is rewritten. As described above, since only the monochrome image portion is rewritten, if the area is designated so as to cover the already colored portion, chromaticity without any unpainted portion can be realized.

The same chromaticization as that shown in FIG. 27 will be realized by using the image chromaticization apparatus of this embodiment. FIG. 25 is an explanatory diagram for describing a chromatic operation similar to that shown in FIG. The point that the lips are surrounded by the cursor trace and the pixel value of the closed area in the cursor trace h1 is rewritten to red-based saturation and hue is the same as in FIG. Do it like this. As shown in FIG. 27B, there is no need to surround the lips with the cursor mark h2.

In the case of coloring a person's face, if a portion having a different color, such as a face, clothes, lips, etc., is applied separately so as to cover the chromatic portion, chromaticity without any unpainted portion is realized. be able to. Therefore, even if the number of area designations is large, the boundary between the hair and the skin, the boundary between the clothing and the skin, and the like can be clearly seen. Since it is only necessary to specify the area so as to cover the already colored part in this way, it is possible to gradually colorize the monochrome image without being affected by the accuracy of the pointing device or the skill of the operator. it can. Mapping unit 1
The change in hue given by 05 is smooth in proportion to the brightness of the monochrome pixels, as shown by the shape of the curve in the graph. It is not a flat color like a red cellophane covered on a black and white apple, but a three-dimensional color, and the smoothness of the curvature of the object surface and the undulation of the object surface that appears as light and dark in the monochrome image. It can be expressed by a degree change and a hue change.

(Second Embodiment) In the second embodiment, it is intended to perform saturating at a higher speed, and the image saturating device includes a pixel saturating device 40 having the configuration shown in FIG. Instead, a pixel chromaticization device 50 having the configuration shown in FIG. 8 is provided. Hereinafter, a second embodiment of the present invention will be described with reference to the drawings. In FIG. 8, the pixel chromaticization device 50 includes:
The point that the achromatic-chromatic changeover switch 107, the area designating section 108, and the area inside / outside changeover switches 109A and 109B are provided is the same as that of the pixel chromaticization device 40, but the other components are the designated color recording memory 401 and the adjustment. Color recording memory 402, pre-calculation unit 403, mapping parameter recording unit 404, mapping unit 1
05, input side changeover switch 406, achromatic color designation section 408
(Note that, for simplicity, the area designation unit 108 and the area inside / outside changeover switches 109A and 109B are not shown in the figure.)

The difference between the designated color recording memory 401 and the adjusted color recording memory 402 is that of the designated color recording memory 401 and the adjusted color recording memory 402.
The point is that the pixel value of the adjustment color is represented by the attribute of the YUV space coordinate system. Here, the YUV space refers to a signal (a luminance signal (Y), a color difference signal (U,
V)). In the YUV space coordinate system, an achromatic pixel value is represented as a pixel value for which the color difference signal UV is 0. As described above, the chromaticity is performed by the pixel value expression in the YUV space coordinate system.
It is suitable for coloring TV images expressed in monochrome. The luminance component of the set of the achromatic color recorded in the designated color recording memory and the adjustment color recorded in the adjustment color recording memory is represented by (YSi, YDi) (i = 0, 1, 2, 3, 4, 5,...).・ Expressed as n). Here, since the combination of the designated color and the adjustment color is set, (Y) is stored in the designated color recording memory and the adjustment color recording memory.
S1, YD1), (YS2, YD2), (YS3, YD
It is assumed that four sets of 3) and (YS4, YD4) are recorded. FIG. 9 is a graph in which the designated color and the adjustment color are plotted with the designated color being the X axis coordinate and the adjustment color being the Y axis coordinate
(A). Since the designated color recording memory 401 and the adjusted color recording memory 402 store the pixel values in the YUV space coordinate system, when reading or writing to the designated color recording memory 401 and the adjusted color recording memory 402 in the second embodiment. The control module 38 performs YUV-RGB conversion.

The pre-operation unit 403 is provided instead of the pre-operation unit 103 in the second embodiment. Its function is to use the information recorded in the designated color recording memory 401 and the adjusted color recording memory 402 to store the axis components Y, U,
That is, an interpolation formula is calculated independently for each V, and the result is recorded in the mapping parameter recording unit 404. The processing of the pre-calculation unit 403 will be described with reference to the drawings.
Hereinafter, only the Y axis (hereinafter, referred to as a luminance axis) of the color space will be described, but the processing of the pre-calculation unit 403 is the same for the U and V axes. The value for the luminance axis in the achromatic YUV color space recorded in the designated color recording memory 401 is YS
i (i = 1, 2, 3, 4). The value of the adjustment color recorded in the adjustment color recording memory 402 with respect to the luminance axis is represented by YDi (i = 1,
2,3,4). Here, the horizontal axis represents the luminance axis of the designated color recorded in the designated color recording memory, and the vertical axis represents the luminance axis of the adjusted color recorded in the adjusted color recording memory.

In FIG. 9A, the pre-calculation unit 403
Interpolation is performed between YS1, YS2, YS3, and YS4 by using a straight line between the vertices and an equation that makes the Y-axis constant at both ends. By this interpolation, a graph of the output value with respect to each input pixel value shown in FIG. 6 can be obtained. The same effect as in the present embodiment can be expected by using spline interpolation, interpolation polynomial, Lagrange's interpolation, etc. other than the linear interpolation formula.

The mapping unit 405 is provided in place of the mapping unit 105. The mapping unit 405 interpolates the input pixels using the interpolation formula of each component in the image chromatic device stored in the mapping parameter recording unit 404. The interpolation result is converted into an RGB space, which is a color space of an output image, and output. The luminance component YDx of the output pixel corresponding to the luminance component YSx of the input pixel value is
It can be obtained by the above interpolation formula shown in FIG.

The input side changeover switch 406 has the same configuration as the achromatic-chromatic changeover switch 107, but the difference from the achromatic-chromatic changeover switch 107 is that It is a point provided on the side.
If the achromatic color determination unit 408 determines that the image is an achromatic color, the image is switched to the mapping unit 405 (A).

The achromatic color judging section 408 judges whether the input pixel value is an achromatic color.
Is the same as The only difference is that a switch signal is sent to the input side switch 406. Next, the flow of FIG.
The calculation process of the interpolation formula by the mapping unit 405 will be described with reference to a chart. It is assumed that the pixel chromaticization device 40 is activated and the designated color and the adjustment color are set using the slide bar. Here, when the operator gives an instruction to colorize using the pointing device, the process proceeds to step S1.

In step S1, the processor 37 sends the designated color (YSi, USS) from the designated color recording memory and the adjusted color recording memory.
i, VSi), adjustment color (YDi, UDi, VDi) (i = 0,1,2,3,4,5 ...
・ Read n). Steps S2 and S3 are for Si = 0,1,2,3,
.., N have a loop structure in which the processing of the subsequent step S3 is repeated. In step S3,
The designated color (YSi, YDi) is plotted on the XY coordinate system. When step S3 is executed once, the variable i is incremented by one. This is repeated from i = 0, 1, 2, 3, 4, 5 to... N, and the loop processing of step S3 ends. Subsequently, in step S4, the plotted coordinates (YS1, YD
2), (YS2, YD2), (YS3, YD3) .... An interpolation formula Y = HY (X) passing through (YSn, YDn) is calculated, and in step S4, the calculated interpolation formula Y = HY ( Record X).

In the following step S6, i = 0, 1, 2, 3, 4, 5... N
Has a loop structure in which the processing of the subsequent step S7 is repeated. In step S7, the designated color (USi, UDi) is plotted on the XY coordinate system. Step S
When 7 is executed once, the coordinates are incremented by one. This is repeated for i = 0, 1, 2, 3, 4, 5... N, and the loop processing of step S7 ends.

Subsequently, the flow shifts to step S8, where the plotted coordinates (US1, UD2), (US2, UD2) (US3, UD3)
... Calculate an interpolation formula Y = HU (X) passing through (USn, UDn). After execution of step S8, the process proceeds to step S9. In step S9, the calculated interpolation formula Y = HU (X) is recorded. The loop processing in step S10 is performed in the following manner:
.. N has a loop structure in which the processing of the subsequent step S11 is repeated. In step S11, the processor 37 specifies the designated color (VSi, VD
Plot i). When step S11 is performed once, the coordinates are incremented by one. This is i = 0,1,
By repeating 2,3,4,5... N, the loop processing of step S10 ends. In step S12, the plotted coordinates (VS1, VD2), (VS2, VD2) (VS3, VD3)... (V
(Sn, VDn) to calculate an interpolation formula Y = HV (X). After execution of step S12, the process proceeds to step S13. In step S13, the calculated interpolation formula Y = HV (X) is recorded. Through the above series of steps, the interpolation formula is calculated from the combination of the designated color and the adjustment color set by the operator using the pointing device. The flow of FIG.
This concludes the description of the chart.

Next, the process of calculating the adjustment color by the pre-calculation unit 403 will be described with reference to the flowchart of FIG. The closed area on the image has already been designated by the operator operating the pointing device.
Here, when the operation of chromaticization for the closed region is performed,
The pre-calculation unit 403 is started, and the flow shifts to step T1 of the flowchart.

At step T1, the processor 37 sets the pixel
The RGB components of (X, Y) are converted to the components (YSX, USX,
VSX). After execution of step T1, step T
2. The process proceeds to T3 and T4. In step T2, the component Y
The calculation of the interpolation formula Y = HY (YSX) is performed with SX being the X coordinate, and the calculation result is output as YDx. In step T3, the component USX is set to the X coordinate, the interpolation formula Y = HU (USX) is calculated, and the calculation result is output as UDx. In step T4, the component VSX is set to the X coordinate, and the interpolation formula Y = HV (VS
X) is calculated, and the calculation result is output as VDx. After executing steps T2, T3, and T4 simultaneously, the process proceeds to step T5. In step T5, the processor 37 outputs the calculation result as an adjustment color (YDx, UDx, VDx).
After execution of Step T5, the process proceeds to Step T6. In step T6, (YDX, UDX, VDX) is converted into RGB components. The above conversion is repeated for each pixel in the closed area specified as the area. Here, since the interpolation formula Y = H (X) is a linear formula, the hue given by the chromaticization gives a viewer who has a sharp impression.

As described above, according to the present embodiment, an interpolation straight line or an interpolation equation of an interpolation curve is calculated from a combination of a designated color and an adjustment color determined according to an instruction of an operator, and the calculated interpolation straight line is calculated. Alternatively, since the pixels in the closed region are chromatic by projection onto the interpolation curve, high-speed interpolation using an existing interpolation algorithm can be realized. This interpolation operation is performed independently for each component of the color space, and the interpolation operation other than the achromatic portion is skipped, so that the amount of operation is very small. As described above, natural coloring can be realized for an achromatic image while reducing the amount of calculation.

The image saturating apparatus according to the second embodiment can realize the same saturating operation as the first embodiment, but the image saturating apparatus according to the second embodiment is a monochrome TV set stored in a video cassette. It can also be used as a "color filter" to chromaticize an image. When used as a “color filter”, a monochrome TV video recorded on a video cassette is reproduced by the video deck 25. The reproduced monochrome TV video is not digitized, and the pixel chromaticization device 4
Input to 0. The mapping unit 405 includes the designated color recording memory 4
01. The combination of the designated color and the adjustment color stored in the adjustment color recording memory 402
Output by mapping in color space (no need to perform RGB → YUV conversion). Since the processing of the mapping unit 405 is performed independently for each YUV component, it is very fast. Therefore, the reproduction by the video deck 25 can be sufficiently followed, and the monochrome image can be chromatic in real time.

(Third Embodiment) In the third embodiment, consideration is given to a case where a film or a photograph has changed color to sepia or the like, or a case where a monochrome image has an undesired color such as blue or yellow due to reading. (Saturation and hue given to pixel values by discoloration or reading are referred to as noise.) Pixel chromaticization device 60 in the third embodiment
10 is shown in FIG. Referring to FIG.
0 is the designated color recording memory 401 and the adjusted color recording memory 4
02 is common to the pixel chromaticization device 50, but the configuration after that is different from the pre-operation unit 703 and the achromatic axis setting unit 7.
05, achromatic axis adjustment unit 706, interpolation table storage unit 71
0, and a table search unit 711.

The achromatic axis setting section 705 freely changes the achromatic axis in accordance with an instruction from the operator. Achromatic axis in RGB space is (0,0,0) (1,1,1) (2,2,2) ~
Rx = Gx through a total of 256 (255, 255, 255)
= Bx, but the achromatic color axis setting unit 705 freely moves the position of the achromatic color axis in the RGB color space by allowing the operator to input two points in the RGB color space. The achromatic axis setting unit 705 further sets a noise width on the achromatic axis set as described above. The noise width set here is
This is a threshold value of saturation and hue caused by discoloration of a film or a photograph. The cylindrical space occupied by the noise width in the radial direction around the achromatic axis forms an achromatic color space. Pixel values plotted in the achromatic color space in the RGB color space system are treated as achromatic colors by the pixel chromaticization device 60 even if they have saturation and hue due to noise. Since the length of the noise width can be changed by operating the slide bar by the operator, this can be changed to change the size of the achromatic color space.

When the user sets the width of the achromatic axis as a threshold, the achromatic axis adjusting unit 706 maps all colors around the achromatic axis falling within the threshold to points on the achromatic axis. The pixel value of the input monochrome image is moved on the achromatic axis set by the user using the achromatic axis setting unit 705. As described above, by combining the achromatic color axis setting unit and the achromatic color axis adjusting unit, it is possible to set a straight line on an arbitrary color space as the achromatic color axis and to set a threshold value of the width of the achromatic axis. Accordingly, when the achromatic axis exists with a certain width due to noise or the like, the influence of the noise on the coloring can be reduced. Thus, the achromatic axis adjusting unit 70
This concludes the description of No. 6.

The pre-calculation unit 703 is almost the same as the pre-calculation unit 403 of the image chrominizing device according to the second embodiment. Is performed, and the chromatic color obtained by the interpolation is recorded in the interpolation table storage unit 710. The reason why the pre-calculation unit 703 records the interpolation result in the interpolation table storage unit 710 is that it is known that all the input pixel values are mapped on the achromatic axis.

The storage contents of the interpolation table storage unit 710 will be described with reference to the explanatory diagram of FIG. In this figure, the first horizontal line is "YD1 UD1 VD
1 ”, and to the right is“ YD2 UD2 VD2 ”
On the right side is “YD3 UD3 VD3”, which is divided in order to store the first, second, and third spatial coordinates on the achromatic axis in the storage area of the interpolation table storage unit 710. Each internal configuration further comprises a Y component, U
This indicates that the component and the V component are classified for storage.

In this figure, the horizontal line below it is "YD4 UD4 VD4" first, and "YD5 U
D5 VD5 ”, and to the right is“ YD6 UD6 VD6 ”
This is because the storage area of the interpolation table storage unit 710 is partitioned to store the fourth, fifth, and sixth spatial coordinates on the achromatic axis, and the inside of each is further divided into a Y component, This indicates that the data is divided for storing the U component and the V component.

The table search unit 711 is provided in place of the mapping unit 105. The table search unit 711 receives input pixel values and searches the interpolation table recorded in the interpolation table storage unit 710 based on the input pixel values. Then, a chromatic color corresponding to the input achromatic color is output. Next, the flow of FIG.
The operation of the image saturating device according to the third embodiment will be described with reference to a chart. When the operator has already operated the pointing device, the chromatic operation for the closed area is performed, the pre-calculation unit 703 is activated, and the interpolation formula Y = Hy (X) and the interpolation formula Y = Hu (X) , Interpolation formula Y =
Hv (X) has been calculated. When these interpolation formulas are calculated, the processor 37 proceeds to step V1 in the flowchart of FIG.

In step V1, the processing in the following steps V5, V2 to V4 is performed for all the m-th points (m = 0, 1, 2, 3, 4, 5,... N) on the achromatic axis. The loop structure is repeated. In step V5, m on the achromatic axis
The point (Rm, Gm, Bm) is transformed into the YUV space coordinate system,
(YSm, USm, VSm). In step V2, the component Y
With Sm being the X coordinate, the interpolation formula Y = HY (YSm) is calculated, and the calculation result is written to the Y component of the m-th column of the interpolation table as YDm. After execution of step V2, the process proceeds to step V3. In step V3, the component USm is set to the X coordinate, the interpolation formula Y = HU (USm) is calculated, and the calculation result is written to the U component in the m-th column of the interpolation table as UDm. After execution of step V3, the process proceeds to step V4. In step V4, the component VSm is set to the X coordinate, the calculation of the interpolation formula Y = HV (VSm) is executed, and the calculation result is written to the V component in the m-th column of the interpolation table as VDm. When steps V5 and V2 to step V4 are executed, the variable m is incremented by one. This is m =
N, 0, 1, 2, 3, 4, 5... N are repeated, and the loop processing of steps V2 to V4 ends. By repeating this, each column in the interpolation table recording unit is filled with the pixel value of the adjustment color.

Next, the achromatic axis adjustment unit 706 and the table search unit 711 will be described with reference to the flowchart of FIG.
The process will be described. It is assumed that the pixel chromaticization device 40 is activated and the designated color and the adjustment color are set using the slide bar. Here, when the operator gives an instruction to colorize using the pointing device, the process proceeds to step W1.

The step W2 has a loop structure in which the processing of the following steps W3 to W9 is repeated for all the X coordinates. The loop processing in this step W2 is performed by the loop processing in step W1.
It has a double loop structure that is repeated for all coordinates. In step W3, the pixel at the coordinates (X, Y) is read from the frame buffer 31. After execution of step W3, the process proceeds to step W5. The process moves to step W5. In step W5, the converted spatial coordinates (YSX, US
(X, VSX) is present in the achromatic color space composed of the achromatic color axis and the noise width. If there is, the process proceeds to step W6; if not, the process proceeds to steps W6 to W6.
Skip 8 Steps W6 to W8 are skipped because the portion that has already been colored is determined to be No in step W5. In step W6, the pixel value of the pixel existing in the achromatic color space is projected to some point on the achromatic color axis (the projected point is defined as the m-th point). After the execution of step W6, the pixel value (YDmUDmVDm) written in the m-th column of the interpolation table is obtained in step W7, and the process proceeds to step W8. In step W8, the pixel values (YDm, UDm, VDm) are converted to the RGB space coordinate system. After the execution of step W8, the process proceeds to step W9, where the converted pixel value is written to the coordinates (X, Y).

When the above steps W3 to W9 are executed, the X coordinate is incremented by one. This is repeated by i = 0, 1, 2, 3, 4, 5... N, and the loop processing from step W3 to step W9 ends. When steps W3 to W9 are executed for all X coordinates, the coordinates are incremented by one. This is all
The loop processing of step W1 ends with the repetition of the Y coordinate.

According to the processing of this flowchart, the pixels of the read original image are mapped on the achromatic axis by the achromatic axis adjusting section 706, and are stored in the interpolation table storage section 710.
The adjustment color recorded second is read by the table search unit 711. By the above-described processing, even if the original image is partially discolored, chromaticization is suitably performed.

As described above, according to the present embodiment, the achromatic pixel represented by the achromatic axis specified by the operator in the color space and the predetermined width occupying the radial direction with respect to the achromatic axis is obtained. Since the projection is performed on the achromatic axis, even if the film or photograph has changed color to sepia, etc., or if the monochrome image has an undesired color such as blue or yellow due to reading, these are once converted to achromatic. Will be converted. By this conversion, noise due to reading or discoloration is reduced, and chromaticization can be performed under suitable conditions. The interpolation straight line or the points on the interpolation curve are tabulated in advance, and the chromaticization of the pixels is performed by searching this table, so that the color pixel value can be determined by searching the table. Colorization can be performed at high speed by table search. The achromatic color determination unit 106 and the achromatic / chromatic changeover switch 10 shown in FIG.
It goes without saying that 7 may be provided.

The description has been given based on the above embodiment.
It is merely presented as an example of a system that can be expected to be effective in the current situation. The present invention can be modified and implemented without departing from the gist thereof. That is, it goes without saying that the present invention can be applied to any system as long as image processing and color adjustment are intended.

[0127]

As described above, according to the first aspect of the present invention, even if an area is specified so as to include a chromatic portion, rewriting of a chromatic pixel value is prohibited. Then, the pixel values of the pixels included in the monochrome portion are rewritten. As described above, since only the monochrome image portion is rewritten, if the area is designated so as to cover the already painted portion, chromaticity without any unpainted portion can be realized.

For example, when coloring a human face,
Since the lips and the other facial parts have different colors, the lips are first specified as an area, and the pixel values of the specified closed area are rewritten to red-based saturation and hue. Subsequently, the face area is designated so as to cover the lips, and the pixel value of the designated closed area is rewritten to the saturation and hue of the flesh color system (see FIGS. 25A and 25B). At this time, since the area of the face is designated so as to cover the lips, the achromatic unpainted portion does not appear, and there is no need to ensure that the contour lines match. In this manner, if different colors such as face, clothes, lips, etc. are applied separately, it is possible to realize chromaticity without unpainted portions. Therefore, even if the number of area designations is large, the boundary between the hair and the skin, the boundary between the clothing and the skin, and the like can be clearly seen.

Since it is only necessary to designate an area so as to cover the already colored portion, the monochrome image is gradually chromaticized without being affected by the accuracy of the pointing device or the skill of the operator. I can go. Also,
By providing the achromatic color determination unit, it is possible to determine whether each component of the pixel value of each pixel included in the specified closed area satisfies the relationship of Rx ≒ Gx ≒ Bx.
Since the chromatic determination is performed, the achromatic part of the image represented by the three primary colors of RGB can be appropriately selected, and the existing VR can be selected.
Using the AM and the frame buffer, a monochrome image can be colored.

According to the image chromaticizing device of the second aspect ,
Monochrome / color determination is performed while increasing or decreasing each component constituting the pixel value in the closed area based on a predetermined conversion parameter. Since whether to rewrite or prohibit the inside of the closed region is determined by addition or subtraction according to the result of this determination, the time required for monochrome / color determination / pixel value increase / decrease per pixel can be reduced. Since the processing time per pixel is reduced, the time required to chromaticize the closed area is reduced, and the processing speed can be increased.

According to the third aspect of the present invention,
When a combination consisting of a monochrome pixel value and a color pixel value is determined, a conversion parameter corresponding to the combination is calculated. If the operator specifies the area and roughly associates the monochrome pixel value and the color pixel value according to the target to be chromatic, the conversion parameter is calculated accordingly. Since the addition and subtraction of the pixel values are performed using the conversion parameters calculated in this manner, the operator's instruction can be made to cover the chromaticity of the closed region. By repeatedly determining such a combination of a monochrome pixel value and a color pixel value and performing chromaticization using the combination, it is possible to perform chromaticization suited to the sensitivity of the operator.

According to the fourth aspect of the present invention, the conversion parameter is further calculated based on the mutual distance between the monochrome pixel in the closed area and the monochrome pixel determined by the determination means. Changes in
As shown by the shape of the curve in the graph, the color becomes smooth in proportion to the brightness of the monochrome pixel. It is not a flat color like a red cellophane covered over a black and white apple, but a three-dimensional color. It can be expressed in degrees and hues.

According to the fifth aspect of the present invention, there is provided an image saturating apparatus.
Operator determined monochrome pixel values in response to the instruction, the closed area by projection of a combination of the color pixel values are calculated interpolation formula for interpolating linear or interpolation curve, the calculated interpolated linear or interpolation curve on Since the pixels in the pixel are colored, high-speed interpolation using an existing interpolation algorithm can be realized, and the color can be realized in a form incorporated in a general-purpose personal computer.

According to the sixth aspect of the present invention, there is provided an image saturating apparatus.
The interpolation straight line or the points on the interpolation curve are tabulated in advance, and the chromaticization of the pixels is performed by searching this table, so that the color pixel value can be determined by searching the table. Since the inside of the closed area can be chromatic by the table search, high-speed interpolation can be realized.

According to the seventh aspect of the present invention, there is provided an image saturating apparatus.
In the color space, a pixel within a range represented by a reference axis designated by the operator and a predetermined width occupying a radial direction with respect to the reference axis is projected onto the reference axis, and a closed region using an interpolation formula is projected. Performs chromatic conversion, so even if the film or photograph has changed color to sepia, etc., or if the monochrome image has an undesired color such as blue or yellow due to scanning, these are once converted to achromatic. Will be done. This conversion reduces noise due to reading and discoloration,
Chromaization can be performed under suitable conditions.

According to the ninth aspect of the present invention, there is provided an image saturating apparatus.
A color sample display unit displays a plurality of monochrome pixel values and / or color sample values of color pixel values. By detecting designation of the color sample by a pointing device, a combination of monochrome pixel values and color pixel values desired by the operator is detected. Is determined, it is possible to interactively determine a combination of achromatic and chromatic. By performing visual interactive editing by presenting color samples, it is possible to increase the efficiency of the chromatic operation by the operator.

According to the tenth aspect of the present invention, the monochrome pixel value desired by the operator is detected by detecting the designation of the pixel of the monochrome image by the pointing device, and the detected monochrome pixel value is converted to the monochrome pixel value. By giving the amount of addition and subtraction, a combination of a monochrome image and a color pixel value is obtained, so that a combination of a monochrome pixel value and a color pixel value can be determined interactively. By visual interactive editing with the presentation of color samples,
The chromatic operation by the operator can be made more efficient.

[Brief description of the drawings]

FIG. 1 is a diagram illustrating a system configuration of an image saturating device according to an embodiment.

FIG. 2 is a diagram showing functional blocks of the image chromatic device according to the embodiment.

FIG. 3 is a diagram illustrating an internal configuration of a pixel chromaticization device 40 according to the first embodiment.

FIG. 4 is a diagram illustrating a pixel value expression in an RGB color space, a pixel value expression in an RGB color space, and a correspondence relationship between pixel values in a direction L color space.

FIG. 5 is a diagram showing a display example of a GUI on the display 22.

FIGS. 6A and 6B are diagrams illustrating examples of a distance function L according to the first embodiment of the present invention.

FIG. 7 is a graph showing Expression 5.

FIG. 8 is a diagram illustrating an internal configuration of a pixel chromaticization device 40 according to a second embodiment.

FIG. 9A is a graph plotting an achromatic color as an X coordinate and an adjustment color as a Y coordinate. (B) It is a figure which shows an example of the interpolation formula which passes through the graph plotted in (a).

FIG. 10 is a configuration diagram of a pixel chromaticization device 40 according to a third embodiment.

FIG. 11 is a main flowchart of the control contents of the image saturating device in the first embodiment.

FIG. 12 is a flowchart of sampling processing of a designated color.

FIG. 13 (a) is a flowchart of the adjustment process in the column i of the adjustment chrominance window. (B) Flowchart of pixel value calculation processing in column i of the adjustment colorant window
It is.

FIG. 14 is a flowchart of an area designation process of a closed area by mouse dragging.

FIG. 15 is a flowchart of the image chromatic-enhancing device when performing chromatic-enhancement.

FIG. 16 is a flowchart of the image chromatic-enhancing device when performing chromatic-enhancement.

FIG. 17 is a flowchart showing processing contents of a pre-calculation unit 103;

FIG. 18 is a flowchart showing processing contents of a mapping unit 105;
It is.

FIG. 19 is a flowchart showing processing contents of a pre-calculation unit 403 in the second embodiment.

FIG. 20 is a flowchart showing processing contents of a mapping unit 105 in the second embodiment.

FIG. 21 is a flowchart showing processing contents of a pre-operation unit 703 in the third embodiment.

FIG. 22 shows an achromatic axis adjusting unit 70 according to the third embodiment.
6. A flowchart showing the processing contents of the table search unit 711.

FIG. 23 shows an interpolation table recording unit 7 according to the third embodiment.
It is explanatory drawing which shows an example of the storage content of 10.

FIG. 24 is an explanatory diagram showing an example of sampling a designated point and setting a designated color and an adjustment color for the sampled designated point.

FIG. 25 is an explanatory diagram for describing an area designating operation in the present embodiment.

And FIG. 26 is a configuration diagram illustrating an example of a conventional image saturating device.

FIG. 27 is an explanatory diagram for pointing out a problem of a chromatic operation that has occurred in a conventional image chromatic device.

[Explanation of symbols]

 Reference Signs List 21 scanner 22 display 23 personal computer 24 pointing device 25 video deck 31 frame buffer 33 input unit 34 operating system 36 disk device 37 processor 38 control module 40 pixel chromatic device 50 pixel chromatic device 60 pixel chromatic device 101 designated color Recording memory 102 Adjustment color recording memory 103 Pre-calculation unit 104 Mapping parameter recording unit 105 Mapping unit 106 Achromatic color determination unit 107 Achromatic / chromatic changeover switch 108 Area designation unit 109 Area in / outside changeover switch 401 Specified color recording memory 402 Adjustment color recording Memory 403 Pre-calculation unit 404 Mapping parameter recording unit 405 Mapping unit 406 Input switch 408 Achromatic judgment unit 703 Pre-calculation unit 705 Achromatic axis setting unit 706 Achromatic axis adjustment 710 interpolation table storage section 711 table search section 801 area designation section 802 input switch 803 output switch 803 conversion section 804-806 addition / subtraction processing section 807 addition / subtraction control section 808 conversion section 809 output switch 810 read / write section 811 frame buffer 812 display 813 Input unit 814 Pointing device 815 Pixel chromatic unit

Claims (10)

(57) [Claims] 1. The pixel value of a plurality of pixels constituting an image is red.
An image composed of a component Rx, a green component Gx, and a blue component Bx
An image chromaticization device that chromaticizes a monochrome image by rewriting pixel values in a closed area surrounded by a movement locus of a cursor on a screen using a predetermined conversion parameter . Located in a closed area specified by the trajectory
The pixel value of each pixel satisfies the relationship of Rx ≒ Gx ≒ Bx
By determining whether or not each pixel is achromatic,
Whether it is a pixel or a chromatic pixel
An achromatic color determination unit, and a pixel determined by the achromatic color determination unit to be chromatic.
JP further comprising a prohibition unit for prohibiting rewriting of the pixel values
An image saturating device. 2. The image chrominizing device according to claim 1, further comprising: a readout unit that reads out pixel values in a closed region specified by a locus of a cursor one pixel at a time, and reads out the pixel values based on a predetermined conversion parameter. Increasing / decreasing means for increasing / decreasing and outputting each component constituting the pixel value obtained, a rewriting means for rewriting the pixel value inside the closed area using the pixel value output by the increasing / decreasing means, When There is started, whether the leave pixels start to achromatic achromatic judgment unit, and a previously activated to initiate determination of whether the pixel is chromatic unit, the prohibition unit If the achromatic determination unit determines that the color has already been colored,
It is characterized by prohibiting rewriting by replacement means
Image saturator. 3. The image saturating device according to claim 1, further comprising: receiving an instruction from an operator, and combining a combination of a monochrome pixel value and a color pixel value in accordance with the instruction content by the operator. Deciding means for deciding some sets, and conversion parameter calculating means for calculating a conversion parameter for converting all the monochrome pixel values in the determined combination into color pixel values collectively, the increasing / decreasing means is a conversion parameter calculating means An image chromaticization device for increasing or decreasing each component constituting a pixel value in a closed area based on a conversion parameter calculated by the above-described method and outputting the result. 4. The image chrominance device according to claim 3, further comprising: combining a combination of the monochrome pixel value and the color pixel value determined by the determination means with a plurality of monochrome images in a color space including an A attribute, a B attribute, and a C attribute. Pixel values (ASi, BSi, CSi) (i is
An integer indicating the integer value to identify each of the pixel values
Characters), multiple color pixel values (ADi, BDi, CDi) (i is
An integer indicating the integer value to identify each of the pixel values
Comprising a pixel value storing means for storing a character), transformation parameter calculating means, a plurality of monochrome pixel values (ASi, BSi, CSi), a plurality of
In color space with color pixel values (ADi, BDi, CDi)
A plurality of distances dij (i, j identify each of the plurality of distances
The subscript) is measured to an integer value for, to a plurality of distance dij
A plurality of distance functions Lij (i, j which monotonically decrease in accordance with
(Subscript indicating an integer value to identify each separation function)
A distance function calculator that calculates a plurality of monochrome pixel values (ASi, BSi, CSi), a plurality
Multiple displacements up to the color pixel values (ADi, BDi, CDi)
(AQi, BQi, CQi) (i is
A displacement calculating unit for calculating a subscript indicating an integer value for differentiating , a plurality of distance functions Lij, and a plurality of displacements (AQi, BQi, CQ).
By performing the operation of the following {Formula 1} from i) ,
(The i subscript that indicates the integer value to identify each of a plurality of conversion parameters) more conversion parameter Pi and a calculation unit for calculating a fluctuation means is a plurality of designated closed area by the trace of the cursor No
The pixel values (ASx, BSx, CSx) of the nokuro pixel (x is
By performing the calculation of the following {equation 2} with respect subscript) represents an integer value to identify each pixel value, a plurality
Color pixel values (ADx, BDx, CDx) (x is a multiple pixel value
And an operation unit for obtaining an integer value for identifying each of the image data. [Formula 2] Where L (SX, Sk) Sk (k is
The subscript indicating an integer value for identification is a distance function that monotonically decreases according to the distance between the pixel value Sx and the pixel value Sk in the color space, and Pk (k identifies each of the plurality of conversion parameters) Was
Is a conversion parameter calculated by the conversion parameter calculation means. 5. An image saturating apparatus according to claim 1, further comprising: a plurality of combinations of monochrome pixel values and color pixel values based on an instruction from an operator and based on the contents of the instruction. When the combination of the monochrome pixel value and the color pixel value is determined by the determination unit, the attribute components in the determined monochrome pixel value are set to the X coordinate, and each of the color pixels corresponding to the component is determined. Interpolation formula calculating means for calculating an interpolation formula of an interpolation straight line or an interpolation curve passing through XY coordinates in which the attribute component is expressed as a Y coordinate, wherein the increasing / decreasing means calculates each attribute component of the pixel value inside the closed area Projected on the interpolated straight line or the interpolated curve, and the Y of the point on the projected curve
An image chromaticization device comprising a projection unit that outputs coordinates as a component of a color pixel value. 6. The image saturating apparatus according to claim 1, further comprising: a plurality of combinations of monochrome pixel values and color pixel values in response to an instruction from an operator and according to the instruction. When the combination of the monochrome pixel value and the color pixel value is determined by the determination unit, the attribute components in the determined monochrome pixel value are set to the X coordinate, and each of the color pixels corresponding to the component is determined. An interpolation formula calculating means for calculating an interpolation formula of an interpolation straight line or an interpolation curve passing through the XY coordinates expressing the attribute component as a Y coordinate; and calculating the interpolation formula, the interpolation formula calculated by the interpolation formula calculation means By giving each attribute component of all monochrome pixel values that can be included in a monochrome image, projecting it on the calculated interpolation straight line or interpolation curve, the Y coordinate of a point on the projected curve is calculated as the color pixel value. A projecting unit for outputting as a component, and a color pixel value storage unit for storing each attribute component of a color pixel value obtained by projection by the projecting unit in association with each attribute component of all monochrome pixel values given to the projecting unit. The increasing / decreasing unit searches the stored contents of the color pixel value storage unit using each attribute component of the pixel value inside the closed area as a key, and determines the color pixel value corresponding to each attribute component of the matching monochrome pixel value. And an extraction unit that extracts and outputs each of the attribute components. 7. The image saturating device according to claim 6, further comprising: a range represented by a reference axis specified by an operator in the color space and a predetermined width occupying a radial direction with respect to the reference axis. Distribution range storage means for storing as a first range in which pixel values of an original image can be distributed; and, among pixel values in a closed region designated by a locus of a cursor, pixels in which each component in a color space is included in the first range Projecting means for projecting the value on the stored reference axis, and the extracting unit searches the stored contents of the color pixel value storing means by using each component on the projected reference axis as a key, and A color pixel value corresponding to a monochrome pixel value to be extracted and output. 8. An image chrominance device according to claim 2 , wherein the bypass means bypasses the increasing / decreasing means and transfers the pixel value read by the reading means as it is, and the increasing / decreasing means rewrites. And a switch for selectively outputting one of the pixel value transferred from the bypass path and the pixel value transferred from the bypass path. The prohibition unit increases or decreases the switch when the achromatic color determination unit determines that the color is achromatic. Side, and when it is determined that the image has been colored, the switch is switched to the bypass path side, and the rewriting means rewrites the inside of the closed area using the pixel value that has been switched and output. apparatus. 9. The image saturating device according to claim 3 , further comprising an interface for connecting a pointing device, and the determining unit determines a color sample of a plurality of monochrome pixel values and / or color pixel values. A color sample display unit to be displayed, and a determination unit that determines a combination of monochrome pixel values and color pixel values desired by the operator by detecting designation by a pointing device for the color sample displayed by the color sample display unit. Image saturating device characterized by the following: 10. An image saturating apparatus according to claim 3 , further comprising an interface for connecting a pointing device, a monochrome image display unit for displaying a monochrome image, and a pointing device for pixels of the monochrome image. A detection unit that detects the monochrome pixel value desired by the operator by detecting the designation, a list display unit that displays a list of all detected monochrome pixel values, and an input of the amount of addition / subtraction to the list of monochrome pixel values And an addition / subtraction unit for adding / subtracting the pixel value by the received addition / subtraction amount. A determination unit for determining a combination of a monochrome pixel value and a color pixel value. Coloring device.