JP2001352559A - Color adjustment device and color adjustment method, and recording medium for recording program to execute the method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a color adjustment device that can accurately adjust colors of a spectral image of an object. SOLUTION: The task above is solved by the color adjustment device for a spectral image, which is characterized in the provision of a spectral color adjustment means that adjusts colors of the spectral of pixels of the spectral image without converting the spectrum, the color adjustment method for the spectral image, which is characterized in that the color adjustment of the spectral image is conducted without converting the spectrum, and a computer- readable recording medium that records a program to allow a computer to execute the color adjustment method.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a technique for accurately reproducing the color of a subject, and more particularly to a technique for adjusting the color of a subject.

[0002]

2. Description of the Related Art Today, with the advance of digital image processing, a wavelength region is different besides a color image formed by three images using three primary colors of red (R), green (G) and blue (B). A multi-band image obtained by photographing the same subject on at least four channels or more is used. For example, in the field of arts and crafts such as painting, images are organized and stored using multi-band images in order to faithfully reproduce colors. In addition, when developing a film capable of obtaining an image with good color reproduction and an image sensor of a digital camera, a multiband image is required to obtain image data with high accuracy by multiplying the spectral reflectance of the subject by the spectral sensitivity. Is used to estimate the spectral reflectance spectrum.

In addition, the environment on the photographing side and image reproduction (output)
Due to differences in the environment on the side and the characteristics of the image input / output system, the colors of the subject may not always be accurately reproduced. In order to perform accurate color reproduction, the characteristics of these image input / output systems must be considered It is necessary to make color adjustments. Conventionally, when adjusting the color of a spectral image, there are two purposes, namely, an adjustment for calibrating a shift of an input device or the like, and an adjustment for adjusting a color from an original to a preferable color. At this time, L * a * b * or XYZ colorimetric image or RG
After converting to a B image, the hue, saturation, and brightness were adjusted.

[0004]

However, as described in the prior art, when a spectral image is color-adjusted, once it is converted into a colorimetric image, and then converted into a spectral image, many meta However, there is a problem that it is very difficult to convert a colorimetric image into a spectral image. The present invention has been made in view of the above-described conventional problems, and provides a color adjustment device and a color adjustment method for accurately reproducing the color of a subject, and a recording medium on which a program for executing the method is recorded. The task is to

[0005]

According to a first aspect of the present invention, there is provided a color adjusting apparatus for a spectral image, wherein a color adjustment of a spectrum of a pixel of the spectral image is performed without changing the spectrum. A spectral color adjusting device for performing spectral color adjustment.

It is preferable that the spectral color adjusting means is means for converting a spectral curve of the spectrum, and has means for converting different spectral curves as means for adjusting colors of different types of color attributes.

[0007] The different types of color attributes may include lightness,
Hue, saturation or saturation is preferred.

Preferably, the processing by the means for adjusting the color of the saturation is a processing for smoothing or sharpening the curvature of the spectral curve.

Preferably, the processing for smoothing or sharpening the curvature of the spectral curve is a convolution or deconvolution processing or a matrix calculation processing.

It is preferable that the processing by the means for adjusting the color of the hue is a processing of translating the spectral curve in the wavelength direction.

Preferably, the processing by the means for adjusting the color of the brightness is a processing of multiplying the spectral curve by a predetermined coefficient.

Preferably, the processing by the means for adjusting the color of the lightness is a processing of multiplying the spectrum curve by a predetermined coefficient and further performing a convolution or deconvolution processing or a matrix calculation processing.

[0013] Similarly, in order to solve the above-mentioned problems,
According to a second aspect of the present invention, there is provided a method for adjusting the color of a spectrum image, wherein the color adjustment of the spectrum of the pixels of the spectrum image is performed by adjusting the color as it is in the spectrum. Provide a way.

It is preferable that the method of adjusting the color attribute of the pixel be different depending on the type of the color attribute.

The color attributes of the pixel may be lightness, hue,
Preferably, it is saturation or saturation.

It is preferable that the method for adjusting the color of the saturation is a process of smoothing or sharpening a curvature of a spectrum curve of the spectrum.

Further, it is preferable that the processing for smoothing or sharpening the curvature of the spectral curve is a convolution or deconvolution processing or a matrix calculation processing.

It is preferable that the method of adjusting the color of the hue is a process of translating a spectrum curve of the spectrum in a wavelength direction.

Further, it is preferable that the method of adjusting the color of the brightness is a process of multiplying a spectrum curve by a predetermined coefficient.

It is preferable that the method of adjusting the color of the lightness is a process of multiplying a spectrum curve by a predetermined coefficient and further performing a convolution or deconvolution process or a matrix operation process on the spectrum curve.

Similarly, in order to solve the above problems,
A third aspect of the present invention provides a computer-readable recording medium recorded as a program for causing a computer to execute the spectral image color adjustment method.

[0022]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a spectral image color adjusting apparatus and a color adjusting method according to the present invention and a recording medium storing a program for executing the method will be described with reference to the preferred embodiments shown in the accompanying drawings. The details will be described below.

As the spectrum of the present invention, a spectrum obtained by a multi-band camera can be used. FIG. 1 is a block diagram schematically illustrating a color adjusting apparatus for a spectral image according to an embodiment of the present invention. The spectral image color adjustment device 14 includes a multi-band camera 1
A plurality of spectral image signals captured at 0 are input. The multi-band camera 10 includes, for example, a CCD camera as a photographing unit that photographs the same subject in a plurality of (preferably 4 to 32, more preferably 8 to 16) channels having different wavelength ranges, and a wavelength corresponding to each channel. A wavelength tunable filter (preferably, a liquid crystal tunable filter) that transmits the subject reflected light in the region.

The image signal input from the multi-band camera 10 is input to the data processing unit 12 once. The data processing unit 12 A / D converts an image signal input from the multi-band camera 10 into digital image data,
The C offset correction is performed, and the resultant is input to the spectral image color adjustment device 14 as spectral image data forming a multiband image. Spectral image color adjustment device 14
(Hereinafter, simply referred to as the color adjustment device 14) includes a spectral color adjustment unit 15. Spectrum color adjusting means 15
Is mainly composed of a convolution processing section 16, a deconvolution processing section 18, a matrix calculation section 20, a wavelength shift section 22, and a coefficient multiplication section 24. Convolution processing unit 16, deconvolution processing unit 1
8. The matrix operation unit 20, the wavelength shift unit 22, and the coefficient multiplying unit 24 perform various conversions (for example, to convert a curvature) on the spectrum curve, and smooth or sharpen the spectrum curve to obtain a spectrum ( The image adjustment is performed, and its operation will be described in detail later. Further, the data output unit 26 outputs the spectrum image that has been subjected to the color adjustment processing.

First, a first embodiment of the present invention will be described. In the first embodiment, the color is independently adjusted by performing convolution or deconvolution processing on the spectral curve to smooth or sharpen the curvature of the spectral curve. Here, independently adjusting the color saturation means that color attributes other than the color saturation are not substantially affected.
This is to adjust the color for saturation.

When it is desired to reduce the saturation, the spectrum image data is sent from the data processing unit 12 to the convolution processing unit 16, and the convolution processing unit 16 performs a convolution process on the spectrum. This convolution processing is represented by the following equation (1), where the spectrum before processing is O (λ), the spectrum after processing is O ′ (λ), and the transfer function (device function) is h (λ). . O ′ (λ) = ∫O (λ ′) · h (λ−λ ′) dλ ′ (1)

To increase the saturation, the spectral image data is sent from the data processing unit 12 to the deconvolution processing unit 18 and the deconvolution processing unit 1
At 8, a deconvolution process is performed on the spectrum. In this deconvolution processing, the spectrum before the processing is O (λ), the transfer function (device function) is h (λ), and the Fourier transform is F [O
(Λ)] and F [h (λ)], and the inverse Fourier transform is represented by F ⁻¹ , the processed spectrum O ″ (λ) is given by the following equation (2): O ″ ( λ) = F ⁻¹ [F [O (λ)] / F [h (λ)]] (2)

FIG. 2 is a graphical representation of the above processing.
become that way. That is, the result O ′ obtained by performing a convolution process on the original spectrum O (λ)
(Λ) is obtained by smoothing the curvature of the spectrum, decreasing the saturation, and performing deconvolution processing.
In (λ), the curvature of the spectrum is sharpened, and the saturation is increased.

The above-described convolution and deconvolution processing can also be performed by a matrix operation as follows. For example, an image of the convolution process is shown in FIG. in this way,
O (λ) and O ′ (λ) are n-order vectors and the transfer function h
Assuming that (λ) is an n × n matrix H (H = (h _ij (λ))), the integral equation (1) can be expressed as O ′ (λ) = HO (λ). Also, the deconvolution processing is
(Λ) = HO ″ (λ), the inverse matrix H of H
⁻¹ can be expressed as O ″ (λ) = H ⁻¹ O (λ). In practice, since the order is very large, it is not easy to find the inverse matrix H ⁻¹ , and various solving methods are used. When the curvature of the spectral curve is smoothed or sharpened by the matrix operation, the spectral image data is sent from the data processing unit 12 to the matrix operation unit 20, and the processing is performed in the matrix operation unit 20. .

Next, a second embodiment of the present invention will be described. In the second embodiment, the hue is independently adjusted by translating (shifting) the spectral curve in the wavelength direction. Again, independent color adjustment of hue means that, as in the case of the colors described above, color adjustment is performed on hue without substantially affecting color attributes other than hue. . At this time, the spectrum image data is sent from the data processing unit 12 to the wavelength shift unit 22.
As shown in FIG. 4, the wavelength shift unit 22 shifts the original spectrum curve by .DELTA..lambda. In the wavelength direction and converts the wavelength from .lambda.0 to .lambda.0 + .DELTA..lambda. Depending on the sign of Δλ, a shift to a long wavelength side or a short wavelength side occurs. In this way, by shifting the wavelength, only the hue can be independently color-adjusted.

Next, a third embodiment of the present invention will be described. In the third embodiment, the brightness is independently adjusted by multiplying the spectral curve by a predetermined coefficient γ. This also intends to perform color adjustment on lightness without substantially affecting color attributes other than lightness. That is, the spectral image data is sent from the data processing unit 12 to the coefficient multiplying unit 24, where the spectral curve is multiplied by a predetermined coefficient γ. At this time, when γ> 1, as shown in FIG. 5A, the spectrum curve rises upward, and the brightness increases. Further, as shown in FIG. 5B, when considered in the L * a * b * space, each point P ₀ (a * ₀ , b * ₀ ) is apart from the origin and the point P ₁ (a *, b) Moved to *). Therefore, the chroma (chroma) C *, which is the distance from the origin in this space
= (A * ² + b * ² ) ^1/2 , since the point P ₁ after coefficient multiplication is larger than the original point P ₀ , to make the saturation substantially constant, 5 (b). Therefore, it is necessary to send the spectral image data after being multiplied by the coefficient γ to the convolution processing unit 16, perform a convolution process on the spectral image data, reduce the increased saturation, and restore the original saturation.

In the case of γ <1, as shown in FIG. 5C, the point P ₀ moves to P ₂ after multiplying the coefficient, and the saturation decreases because the point P ₀ approaches the origin. Therefore, the spectral image data after the coefficient multiplication is sent to the deconvolution processing unit 18, where the deconvolution processing is performed to increase the saturation and return to the original. In this way, in any case, the hue and the saturation can be substantially constant, and the color can be adjusted for the lightness. Instead of the convolution or deconvolution processing, the data after the coefficient multiplication may be sent to the matrix operation unit 20 so that the saturation is made substantially constant by the matrix operation.

In the example just described, when the lightness increases, the saturation also increases in the same manner. Therefore, not the saturation (chroma) but the saturation expressed by the ratio with the lightness, that is, the so-called saturation ΔC. * / L *, saturation is kept substantially constant even when the brightness is changed by multiplying the spectrum by a coefficient. Therefore, if saturation is considered instead of chroma as saturation, even if the coefficient γ is multiplied, the saturation is substantially constant,
There is no need to perform convolution or deconvolution processing after coefficient multiplication. That is, the color can be adjusted with respect to the lightness by keeping the hue and the saturation substantially constant only by multiplying the coefficient γ.

The spectral image data color-adjusted in each embodiment is output from the data output unit 26 as a spectral image. In this manner, in each of the above embodiments, it is possible to independently adjust the color of each color attribute such as brightness, hue, and saturation without changing the other color attributes. Therefore, since color reproduction can be easily and accurately performed without losing the spectral characteristics of the original subject, the present invention is suitably applied mainly to storage and display of art works such as paintings.

The color adjustment method of each of the above embodiments is recorded on a recording medium as a program for causing a computer to execute the color adjustment method, and thereafter, the program is read out from the recording medium and used to obtain a desired color for a spectral image. Adjustments can be made. That is, a method of performing convolution or deconvolution processing on the spectral curve to smooth or sharpen the curvature of the spectral curve to adjust the color saturation, and to adjust the hue by shifting the spectral curve in the wavelength direction. A color adjustment method such as a method of performing color multiplication on a lightness by performing a process of multiplying a spectrum by a predetermined coefficient, and a method of performing a process in which the multiplication of the coefficient is combined with a convolution or deconvolution process or a matrix operation process. Record on a recording medium. In addition,
In addition to the calculation method used as image processing in the above embodiment,
As long as the spectrum is geometrically changed, another mathematical method may be used.

Hereinafter, specific embodiments will be described. (Embodiment 1) In the present embodiment, the following multi-band camera was used for photographing. DA as CCD camera
LSA CA-D4-1024A (1024 x 102 pixels)
4. Varispec Tunable Filter (liquid crystal tunable filter) manufactured by CRI was used as the wavelength variable filter. This liquid crystal tunable filter has a filter wavelength range of 400 to 720 nm,
The center wavelength of the spectral transmittance distribution was arbitrarily selectable, the half-width of the wavelength of the distribution was 30 nm, and the spectral transmittance varied from 6 to 60% depending on the wavelength. As a color adjustment processing device, a book type PC manufactured by PROSIDE (personal computer, CPU: 166 MHz, RAM: 128 Mbits)
e) was used.

A metal halide lamp was used as a light source for photographing, and the illuminance of the photographing subject was set to 12,000 lux. The shooting lens used for shooting was Nikon (f = 50 mm, F1.
4), and an ultraviolet cut filter of 400 nm or less and an infrared cut filter of 730 nm or more were used. Further, the imaging wavelength range of 410 nm to 710 nm is divided into
There were six channels, and each wavelength interval was 20 nm. For photographing, a human face and a Macbeth chart were simultaneously photographed. In addition, shooting was performed while changing the spectral transmittance distribution of the liquid crystal tunable filter according to each divided channel, and 16 original spectrum images constituting a multiband image were obtained. The aperture value at the time of shooting was F2.8. The shooting time was 25 ms for one shot, and it took 3 seconds for the entire shooting of the multiband image.

The following color adjustment was performed on the spectral image (spectral reflectance) obtained by the above photographing. That is, the color adjustment in the present embodiment is to perform a saturation adjustment on the spectrum by the sharpness deterioration restoration processing (deconvolution processing). In addition,
In this case, a deconvolution process was performed twice using a trigonometric function having a wavelength half width of 20 nm as an apparatus function.

Then, the average spectral reflectance distribution of 24 colors of the patch portion of the Macbeth chart in the image is extracted, and L *, a *, b *, C * and H was calculated. The results are shown in Table 1 and FIG. As can be seen from Table 1,
The lightness L * ₀ before the deconvolution processing on the spectrum and the lightness L * after the processing hardly change.

(Table 1) No. L * ₀ L * 1 39.88 39.74 2 66.32 66.10 51.06 51.06 4 41.56 41.86 5 53.93 53.51 6 65.75 65.89 7 63. 42 63.34 8 40.91 40.40 9 51.91 51.29 10 30.11 29.66 11 64.30 64.77 12 67.33 67.53 13 30.55 29.96 14 53.51 54.06 15 41.63 40.62 16 79.61 79.92 17 49.13 48.25 18 45.08 44.75 19 93.56 93.57 20 79.29 79.30 21 64.41 64 .42 22 48.00 48.00 23 31.85 31.85 24 18.26 18.27

FIG. 6 is a so-called CIELAB color space in which the horizontal axis is a * and the vertical axis is b *. In FIG. 6, the starting point (a * ₀ , b * ₀ ) of each arrow indicates before processing.
The end point (a *, b *) indicates the state after the processing. As can be seen from FIG. 6, each arrow extends substantially radially from the origin, and its direction, b * / a *, hardly changes.
Therefore, the hue angle does not change, and the hue H hardly changes. Further, as indicated by each arrow, before the processing (a
(* ₀ , b * ₀ ), the post-processing (a *, b *) moves away from the origin. Therefore, saturation (chroma)
C * = ((a *) ² + (b *) ² ) ^1/2 is large.
That is, by the color adjustment processing by the deconvolution processing of the present embodiment, the chroma (C *) without substantially affecting the lightness (L *) and the hue (H) among the color attributes.
Could be changed.

(Embodiment 2) In this embodiment, the photographing of an image is the same as that in Embodiment 1 described above. In the color adjustment processing of the present embodiment, the spectral image (spectral reflectance) obtained by the photographing is used.
Is to adjust the hue by shifting the wavelength of the spectrum (translating the spectrum curve in the wavelength direction). More specifically, in the present embodiment, a process of shifting the wavelength of the spectrum by +10 nm (longer wavelength side);
0 nm (short wavelength side) shift processing was performed. Then, the average spectral reflectance distribution of the 24 colors of the patch portion of the Macbeth chart in the image is extracted, and the average spectral reflectance distribution 2 is extracted.
For four colors, L *,
a *, b *, C * and H were calculated.

Table 2 and FIG. 7 show the results of the +10 nm wavelength shift processing. As shown in Table 2 showing the lightness L * ₀ before the treatment and the lightness L * after the treatment, the lightness hardly changed by the wavelength shift of +10 nm.

(Table 2) No. L * ₀ L * 1 39.88 38.63 2 66.32 65.11 3 51.06 52.26 4 41.56 41.58 5 53.93 54.61 65.75 67.37 7 63. 42 59.83 8 40.91 42.54 9 51.91 48.90 10 30.11 29.72 11 64.30 63.78 12 67.33 64.52 13 30.55 32.35 14 53.51 54.24 15 41.63 37.78 16 79.61 77.69 17 49.13 47.02 18 45.08 48.03 19 93.56 93.57 20 79.29 79.31 21 64.41 64 .42 22 48.00 48.04 23 31.85 31.91 24 18.26 18.27

In FIG. 7, the horizontal axis is a * and the vertical axis is b *, as in FIG. 6, the start point (a * ₀ , b * ₀ ) of each arrow is set to be before processing and the end point (a * , B *) after processing. As shown in FIG. 7, the arrows are arranged clockwise substantially on the concentric circle centered on the origin. Therefore, before processing (start point of arrow) and after processing (end point of arrow),
It can be seen that it is approximately equidistant from the origin and the saturation C * has not changed much. The arrow is clockwise, and the hue angle is small. After all, lightness L *, saturation C *
Was able to change the hue H without changing so much.

Further, Table 3 and FIG.
3 shows the result of the wavelength shift processing. As shown in Table 3 showing the lightness L * ₀ before the treatment and the lightness L * after the treatment, the lightness hardly changed even by the wavelength shift of -10 nm.

(Table 3) No. L * ₀ L * 1 39.88 41.21 2 66.32 67.69 3 51.06 50.09 4 41.56 41.28 5 53.93 53.62 6 65.75 63.91 7 63. 42 66.778 8 40.91 39.689 9 51.91 55.20 10 30.11 30.92 11 64.30 64.38 12 67.33 69.79 13 30.55 29.24 14 53.51 52.25 15 41.63 45.83 16 79.61 81.17 17 49.13 51.87 18 45.08 42.13 19 93.56 93.54 20 79.29 79.25 21 64.41 64 .38 22 48.00 47.94 23 31.85 31.78 24 18.26 18.24

As shown in FIG. 8, in the case of the wavelength shift of -10 nm, the arrow is counterclockwise, contrary to the case of the wavelength shift of +10 nm. Therefore, in this case, the hue H is large although the saturation is hardly changed. However, when H exceeds 360 degrees,
H ′ = H−360 ° That is, also in this case, the hue (H) could be changed while the brightness (L *) and the saturation (C *) among the color attributes were kept substantially constant.

(Embodiment 3) In this embodiment, the photographing of an image is the same as in the first embodiment. In the color adjustment processing of this embodiment, the brightness is adjusted by multiplying the spectrum curve by a certain coefficient γ and further performing deconvolution processing. Specifically, in the present embodiment, after the spectrum curve is multiplied by the coefficient γ = 0.8, the deconvolution processing as in the first embodiment is performed. Then, similarly to the above embodiment, the average spectral reflectance distribution of the 24 colors of the patch portion of the Macbeth chart in the image is extracted, and the observation light source is set to CIED50 for the 24 colors of the average spectral reflectance distribution.
L *, a *, b *, C * and H were calculated.

Table 4 and FIG. 9 show the results of the processing of this embodiment. Table 4 shows lightness L * ₀ before processing and lightness L * after processing.
Is shown. In the processing of this embodiment, the coefficient γ = 0.
By multiplying by 8, the lightness was reduced as can be seen from Table 4.

(Table 4) No. L * ₀ L * 1 39.88 35.74 2 66.32 60.22 3 51.06 46.25 4 41.56 37.71 5 53.93 48.52 6 65.75 60.02 7 63. 42 57.66 8 40.91 36.36 9 51.91 46.46 10 30.11 26.39 11 64.30 58.98 12 67.33 61.54 13 30.55 26.66 14 53.51 49.04 15 41.63 36.56 16 79.61 73.05 17 49.13 43.65 18 45.08 40.40 19 93.56 85.72 20 79.29 72.47 21 64.41 58 .65 22 48.00 43.42 23 31.85 28.42 24 18.26 15.81

At this time, as shown in FIG. 9, the color coordinates (a * ₀ , b * ₀ ) and (a *, b *) do not change so much before and after the processing. That is, the hue (H) and the saturation (C *) do not change so much. Therefore, according to the present embodiment, it was possible to change the lightness while keeping the hue and the saturation substantially constant.

In the third embodiment just described, the spectral curve is multiplied by the coefficient γ, and the deconvolution process is further performed. However, the brightness L * can be changed even if the deconvolution process is omitted. In a process in which the deconvolution process is omitted and only the coefficient γ is multiplied, the hue H hardly changes, but the saturation C * changes. However, even if the saturation C * changes, the brightness L
Saturation ΔC * /, which is the saturation as a ratio to *
L * is substantially constant, and the lightness L * can be changed while keeping the saturation substantially constant.

The apparatus and method for adjusting the color of a spectral image of the present invention and the recording medium on which the program for executing the method has been described in detail, but the present invention is not limited to the above examples. Of course, various improvements and changes may be made without departing from the spirit of the present invention.

[0055]

As described above, according to the present invention, it is possible to adjust the color of a subject and reproduce it accurately.

[Brief description of the drawings]

FIG. 1 is a block diagram schematically illustrating a color adjusting apparatus for a spectral image according to an embodiment of the present invention.

FIG. 2 is a diagram showing a spectrum distribution showing an operation of a convolution and a deconvolution process according to the first embodiment of the present invention.

FIG. 3 is an explanatory diagram showing a matrix display of a convolution process in the first embodiment of the present invention.

FIG. 4 is a diagram illustrating a spectrum distribution showing a wavelength shift according to a second embodiment of the present invention.

FIG. 5A is a diagram illustrating a spectrum distribution showing a result of a coefficient multiplication process according to a third embodiment of the present invention;
(B) and (c) are explanatory diagrams in the L * a * b * space.

FIG. 6 is an explanatory diagram of an L * a * b * space showing a saturation adjustment according to the first embodiment of the present invention.

FIG. 7 is an explanatory diagram of an L * a * b * space showing hue adjustment by a wavelength shift (+10 nm) in a specific embodiment 2 of the present invention.

FIG. 8 shows a wavelength shift (−10) in the second embodiment.
FIG. 4 is an explanatory diagram of an L * a * b * space showing hue adjustment by (nm).

FIG. 9 is an explanatory diagram of an L * a * b * space showing lightness adjustment by coefficient γ multiplication in a specific embodiment 3 of the present invention.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 10 Multi-band camera 12 Data processing part 14 Color adjustment device 15 Spectral color adjustment means 16 Convolution processing part 18 Deconvolution processing part 20 Matrix calculation processing part 22 Wavelength shift part 24 Coefficient (γ) multiplication part 26 Data output part

──────────────────────────────────────────────────の Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI theme coat ゛ (reference) H04N 9/68 H04N 1/40 D 9/69 1/46 Z F term (reference) 5B057 AA11 BA02 CA01 CA08 CA12 CA16 CB01 CB08 CB12 CB16 CC01 CE17 CH01 CH08 5C066 AA01 AA03 CA05 EA03 EA07 EB01 GA01 KE01 KF05 KM01 5C077 MP08 PP02 PP03 PP35 PP36 PP37 PQ12 TT09 5C079 HB06 HB08 LA15 LB01 MA11 NA03 NA29

Claims (17)

[Claims] 1. A spectrum image color adjustment apparatus, comprising: a spectrum image color adjustment unit for performing color adjustment of a spectrum of a pixel of a spectrum image by performing color adjustment without changing the spectrum. apparatus. 2. The apparatus according to claim 1, wherein said spectrum color adjusting means is means for converting a spectral curve of said spectrum, and has means for converting different spectral curves as means for color adjusting different types of color attributes. 2. The color adjustment device according to 1. 3. The color attributes of different types include lightness, hue,
The color adjustment device according to claim 2, wherein the color adjustment is saturation or saturation. 4. The processing by the means for adjusting the color of the saturation,
4. The color adjustment apparatus according to claim 3, wherein the processing is a processing for smoothing or sharpening a curvature of the spectrum curve. 5. The color adjusting apparatus according to claim 4, wherein the processing for smoothing or sharpening the curvature of the spectral curve is a convolution or deconvolution processing or a matrix operation processing. 6. The processing by means for adjusting the color of the hue,
4. The color adjustment apparatus according to claim 3, wherein the processing is a process of translating the spectrum curve in a wavelength direction. 7. The processing by the means for color-adjusting the brightness,
The color adjusting apparatus according to claim 3, wherein the processing is a process of multiplying the spectrum curve by a predetermined coefficient. 8. The processing by means for adjusting the color of the lightness,
4. The color adjustment device according to claim 3, wherein the color adjustment device multiplies the spectrum curve by a predetermined coefficient and further performs a convolution or deconvolution process or a matrix operation process. 9. A method for adjusting the color of a spectral image, comprising: adjusting the color of the spectrum of a pixel of the spectral image.
A color adjustment method for a spectral image, wherein the method is performed by adjusting the color of the spectrum as it is. 10. The color adjustment method according to claim 9, wherein a method of adjusting the color attribute of the pixel is different depending on the type of the color attribute. 11. The color adjustment method according to claim 10, wherein the color attribute of the pixel is lightness, hue, saturation, or saturation. 12. The color adjustment method according to claim 10, wherein the method of adjusting the color of the saturation is a process of smoothing or sharpening a curvature of a spectrum curve of the spectrum. 13. The color adjustment method according to claim 12, wherein the processing for smoothing or sharpening the curvature of the spectral curve is a convolution or deconvolution processing or a matrix operation processing. 14. The color adjustment method according to claim 10, wherein the method of adjusting the color of the hue is a process of translating a spectrum curve of the spectrum in a wavelength direction. 15. The color adjusting method according to claim 10, wherein the method of color adjusting the brightness is a process of multiplying a spectral curve by a predetermined coefficient. 16. The method for color-adjusting lightness is a process of multiplying a spectrum curve by a predetermined coefficient, and further performing a convolution or deconvolution process or a matrix operation process on the spectrum curve. The color adjustment method according to claim 10. 17. A computer-readable recording medium recorded as a program for causing a computer to execute the color adjustment method according to claim 9.