CN101719359B - Method for regulating color distribution and color distribution module - Google Patents

Abstract

The invention relates to a method for regulating color distribution and a color distribution module, in particular to a compensation technique taking self color characteristics of a display into consideration. The method comprises the following steps of searching a first reference point in a first color gamut and a second reference point in a second color gamut; and transferring the first color gamut into the second color gamut by taking the first reference point and the second reference point as standards.

Description

Method for regulating color distribution and color distribution module

Technical field

The invention relates to a kind of color compensation technology, and particularly relevant for a kind of compensation technique of considering the chromatic characteristic of display own.

Background technology

In the society now of height technicalization, electronic product by the soft house life that incorporates people, from TV, the game machine that amusement is provided, is gone up the computer that uses to work, is showing people's dependence to electronic product in daily life.Wherein, no matter be for the demand on working, or amusement in life, display device such as TV, projector, LCD all are indispensable electronic products.

Because the color kind that in fact different display device can show is different, therefore, in the technical field of color image, this noun of colour gamut (gamut) is meant the number of the color kind that in fact a chromatic image device can show.Therefore, different display device all have its unique gamut range.

In order to make the relatively poor display device of colouristic properties also can demonstrate good colour vividness; In traditional practice; Usually use additional hardware equipment (for example color increases gorgeous chip or color corrector or the like) to improve the colour vividness of the output video signal of video card or display chip, thereby make the hardware cost of product increase.If under the situation that does not increase hardware cost, traditional is to utilize central processing unit in the computer to carry out color to increase gorgeous software as rule, but increases the weight of the burden of central processing unit.In addition, traditional practice is not considered the chromatic characteristic or the gamut range of display device itself, and therefore, in fact the output video signal of video card or display chip can completely not demonstrate color and increase gorgeous effect when display device shows.

In addition; In order to let the user that comparatively comfortable visual enjoyment is arranged; Usually display chip or video card are built adjusting function in all having; Let the user comprise picture lightness (luminance), saturation degree (saturation degree) or colour temperature (color temperature) or the like according to required its show state of adjusting.With the video card is example, the application program of can arranging in pairs or groups usually, the adjustment interface that the user can be provided through this application program, lightness, saturation degree or colour temperature of adjustment picture or the like.

In the inside of video card or display chip, the lightness that the user sets, saturation degree or colour temperature or the like will be in order to be set to a gamma slope (Gamma Ramps).Video card or display chip will utilize this gamma slope adjustment to export to the video data of display device at last.Yet; Above-mentioned gamma slope has the relation that each input corresponds to output, thus when the user through the required lightness of adjustment interface input, saturation degree or colour temperature the time, the relation that input corresponds to output in the above-mentioned gamma slope must recomputate; Therefore; When the user adjusts in the process of picture,, will take place easily that picture postpones or situation such as flicker if computer or video card or the like computing crosses when slow.

Summary of the invention

The present invention provides a kind of method for regulating color distribution and adjusting module, in order to change colour gamut through RP, with the adjustment COLOR COMPOSITION THROUGH DISTRIBUTION.

The present invention provides a kind of method for regulating color distribution, comprising: step a. provides one first colour gamut and one second colour gamut; Step b. finds out one first RP in first colour gamut; Step c is found out one second RP in second colour gamut; D. through the adjustment interface, obtain color temperature parameters; Utilize above-mentioned color temperature parameters, find out the 3rd RP of the 3rd colour gamut; And step e. utilizes above-mentioned first, second and the 3rd RP in the position of first color space, calculates transformation model; With first RP and second RP is benchmark, through above-mentioned transformation model, with first color gamut conversion to the second colour gamut.

In one embodiment of this invention, above-mentioned through transformation model, the step of first color gamut conversion to the second colour gamut is comprised: with first RP and the 3rd RP is benchmark, with first color gamut conversion to the, three colour gamuts; And, be benchmark with the 3rd RP and second RP, with the 3rd color gamut conversion to the second colour gamut.

In one embodiment of this invention, above-mentioned first color space is with X-Y-Z coordinate representation, and first RP is shown (T_WP in the location tables of first color space _x, T_WP _Y, T_WP _z), second RP is shown (C_WP in the location tables of first color space _x, C_WP _Y, C_WP _z), the 3rd RP is shown (U_WP in the location tables of first color space _x, U_WP _Y, U_WP _z), the environment light source RP is shown (D_WP in the location tables of first color space _x, D_WP _Y, D_WP _z), transformation model is expressed as

Its value does $\underset{\‾}{\underset{\‾}{M_{\mathrm{CA}}}}=K_{\mathrm{\α}}\underset{\‾}{\underset{\‾}{M_A}}\underset{\‾}{\underset{\‾}{K_{\mathrm{\β}}^D}}\underset{\‾}{\underset{\‾}{M_A^{-1}}},$ Wherein $K_{\mathrm{\α}}=\frac{T\_{\mathrm{WP}}_Y}{C\_{\mathrm{WP}}_Y},$

Be diagonal matrix, $\underset{\‾}{\underset{\‾}{K_{\mathrm{\β}}^D}}=\mathrm{Diag}(\frac{U\_{\mathrm{WP}}_x}{D\_{\mathrm{WP}}_x},\frac{U\_{\mathrm{WP}}_Y}{D\_{\mathrm{WP}}_Y},\frac{U\_{\mathrm{WP}}_z}{D\_{\mathrm{WP}}_z}),$

Be a reference coordinate transition matrix ,-1 expression matrix inversion operation, the diagonal matrix that element is made up of intrinsic vector in regular turn on diag () the expression diagonal line.

In one embodiment of this invention, above-mentioned first RP is the white point in first colour gamut, and second RP is the white point in second colour gamut, and the 3rd RP is the white point in the 3rd colour gamut.Above-mentioned first colour gamut is the colour gamut of a target indicator, and above-mentioned method for regulating color distribution also comprises: a color test sample book is provided, and wherein the color test sample book belongs to one second color space; The model of target indicator is provided; And, utilize the model of target indicator, the color test sample book is converted to first color space, make the color test sample book be distributed in first colour gamut in first color space.

In one embodiment of this invention, above-mentioned color test sample book is one L * N matrix representation does

Wherein, the line number of L representing matrix, the columns of N representing matrix, the model of target indicator are that the matrix representation of one N * N does

Wherein, the line number of N representing matrix and columns, the step that above-mentioned this color test sample book is converted to first color space comprises: with the color test sample book

Model with target indicator

Carry out the multiplication of matrices computing,, be expressed as to obtain being distributed in the color test sample book of first colour gamut in first color space

Its value does $\underset{\‾}{\underset{\‾}{{\mathrm{XYZ}}_{D-\mathrm{Ref}}}}=\underset{\‾}{\underset{\‾}{M_T}}\underset{\‾}{\underset{\‾}{\mathrm{TP}}}.$

In one embodiment of this invention, above-mentioned steps d comprises: utilize transformation model, the color test sample book that is distributed in first colour gamut is converted to second colour gamut, make the color test sample book be distributed in second colour gamut in first color space.

In one embodiment of this invention, above-mentioned transformation model is that the matrix representation of one N * N does

Wherein, the line number of N representing matrix and columns, the color test sample book that is distributed in first colour gamut in first color space is expressed as The step that the above-mentioned color test sample book that will be distributed in first colour gamut is converted to second colour gamut comprises: with the color test sample book of first colour gamut

With transformation model

Carry out the multiplication of matrices computing,, be expressed as to obtain being distributed in the color test sample book in second colour gamut

Its value does $\underset{\‾}{\underset{\‾}{{\mathrm{XYZ}}_{D-\mathrm{Ill}}}}=\underset{\‾}{\underset{\‾}{M_{\mathrm{CA}}}}\×\underset{\‾}{\underset{\‾}{{\mathrm{XYZ}}_{D-\mathrm{Ref}}}}.$

In one embodiment of this invention, above-mentioned second colour gamut is the colour gamut of a present display, after above-mentioned steps d, also comprises: the model that present display is provided; And, utilize the model of present display, the color test sample book that is distributed in second colour gamut in first color space is converted to second colour gamut in second color space, make the color test sample book be distributed in second colour gamut in second color space.

In one embodiment of this invention, the model of above-mentioned present display is that the matrix representation of one N * N does

Wherein, the line number of N representing matrix and columns, the color test sample book that is distributed in second colour gamut in first color space is expressed as

The step that the above-mentioned color test sample book that will be distributed in second colour gamut in first color space is converted to second colour gamut in second color space comprises: with the color test sample book of second colour gamut

Model with present display

Inverse matrix carry out the multiplication of matrices computing, to obtain being distributed in the color test sample book of second colour gamut in second color space, be expressed as Its value does $\underset{\‾}{\underset{\‾}{{\mathrm{RGB}}_{D-\mathrm{Ill}}}}=\underset{\‾}{\underset{\‾}{M_C^{-1}}}\×\underset{\‾}{\underset{\‾}{{\mathrm{XYZ}}_{D-\mathrm{Ill}}}}.$

In one embodiment of this invention, above-mentioned method for regulating color distribution also comprises:

Utilization is distributed in the color test sample book of second colour gamut in second color space, calculates a gamma slope.

The present invention proposes a kind of COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module, comprises a receiver module, adjustment interface and a modular converter.Wherein receiver module receives a color test sample book.The adjustment interface, in order to receive color temperature parameters, wherein, above-mentioned modular converter utilizes above-mentioned color temperature parameters, finds out the 3rd RP of the 3rd colour gamut.Modular converter stores one first colour gamut and one second colour gamut; The color test sample book is converted to first colour gamut; Find out first RP and second RP of above-mentioned second colour gamut in above-mentioned first colour gamut respectively; Utilize above-mentioned first, second and the 3rd RP in the position of first color space, calculate transformation model, and be benchmark with one second RP of one first RP in first colour gamut and second colour gamut; Through above-mentioned transformation model, the color test sample book of this first colour gamut that distributes is converted to second colour gamut.

In one embodiment of this invention, above-mentioned first colour gamut is the colour gamut of a target indicator, and second colour gamut is the colour gamut of a present display, and modular converter comprises the model unit of model unit, a converting unit and a present display of a target indicator.Wherein, the model unit of target indicator has the model of a target indicator, and uses the model of target indicator that the color test sample book is converted to one first color space, makes the color test sample book be distributed in first colour gamut in first color space.And converting unit; With first RP and the 3rd RP is benchmark; The color test sample book that is distributed in first colour gamut is converted to the 3rd colour gamut, is benchmark with second RP and the 3rd RP again, and the color test sample book that is distributed in the 3rd colour gamut is converted to second colour gamut.The model unit of display has the model of a present display at present; And use the model of present display; The color test sample book of second colour gamut of first color space is converted to second color space, makes the color test sample book be distributed in second colour gamut in second color space.

In one embodiment of this invention, above-mentioned COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module also comprises a processing module, utilizes the color test sample book that is distributed in second colour gamut, calculates a gamma slope.

The present invention carries out color gamut conversion through the RP in the colour gamut, and then adjustment COLOR COMPOSITION THROUGH DISTRIBUTION and colour temperature.

For letting the above-mentioned feature and advantage of the present invention can be more obviously understandable, hereinafter is special lifts preferred embodiment, and cooperates appended graphicly, elaborates as follows.

Description of drawings

Shown in Figure 1 is color Adjustment System calcspar in the embodiment of the invention.

Shown in Figure 2 is the calcspar of the COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module 110 in the color Adjustment System 100.

Shown in Figure 3 is the flow chart of steps of method for regulating color distribution in the embodiment of the invention.

Shown in Figure 4 is each substep process flow diagram among the step S330.

Shown in Figure 5 is the flow chart of steps of lightness adjustment method in the embodiment of the invention.

Shown in Figure 6 is the flow chart of steps of saturation degree adjustment method in the embodiment of the invention.

Shown in Figure 7 is the special function figure.

Shown in Figure 8 for adjusting functional digraph.

Shown in Figure 9ly be the adjustment functional digraph after the translation.

Shown in Figure 10 is the system block diagrams of the model unit 222 of target indicator.

Shown in Figure 11 is the system block diagrams of the model unit 226 of present display.

Shown in Figure 12 is color Adjustment System calcspar in another embodiment of the present invention.

Embodiment

Shown in Figure 1 is color Adjustment System calcspar in the embodiment of the invention.Please refer to Fig. 1, color Adjustment System 100 comprises COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module 110, lightness adjusting module 120, saturation degree adjusting module 130 and processing module 140.The embodiment of the invention is in order to obtain good color adjustment result; Present embodiment uses a color test sample book (Test Pattern); COLOR COMPOSITION THROUGH DISTRIBUTION and colour temperature via COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module 110 adjustment color test sample books; Adjust the lightness of color test sample books again through lightness adjusting module 120, and adjust the saturation degree of color test sample books via saturation degree adjusting module 130.At last, processing module 140 is utilized adjusted color test sample book, and computing obtains gamma slope (GammaRamps).

Yet; This area tool knows that usually the knowledgeable should know; In the flow process of above-mentioned adjustment, COLOR COMPOSITION THROUGH DISTRIBUTION adjusting gear 110, lightness adjusting module 120 do not have certain sequence with saturation degree adjusting module 130, and; When system only needs the chromatic characteristic of adjustment member, system only need select COLOR COMPOSITION THROUGH DISTRIBUTION adjusting gear 110, lightness adjusting module 120 and saturation degree adjusting module 130 one of them or wherein two.

Shown in Figure 2 is the calcspar of the COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module 110 in the color Adjustment System 100.Please refer to Fig. 2, COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module 110 comprises receiver module 210 and modular converter 220.Wherein, modular converter 220 comprises the model unit 226 of model unit 222, converting unit 224 and the present display of target indicator again.In the present embodiment, COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module 110 is for example operated a color distribution adjustment method, and its flow process is as shown in Figure 3, and below the method for regulating color distribution of collocation present embodiment explains how present embodiment adjusts COLOR COMPOSITION THROUGH DISTRIBUTION and colour temperature.

Please refer to Fig. 2 and Fig. 3, at first, receiver module 210 receives color test sample book (step S310), and the color test sample book can be to be produced at random by computer or video card, also can be to be stored in the middle of the computer in advance.At this present embodiment is described for ease, the color test sample book that below receives is expressed as

Suppose that this color test sample book belongs to the R-G-B color space, and respectively for three coordinate directions of RGB, the color test sample book

Include L GTG respectively, the color test sample book

Can be expressed as with matrix-style $\underset{\&OverBar;}{\underset{\&OverBar;}{\mathrm{TP}}}={\left[\begin{array}{ccc}{r}_0& g_0& b_0\\ r_1& g_1& {\mathrm{<figure-callout\; id="1"\; label="b"\; filenames="H2008101664894E00061.png,H2008101664894E00071.png"\; state="\{\{state\}\}">b</figure-callout>}}_1\\ .& .& .\\ .& .& .\\ .& .& .\\ r_{L-1}& g_{L-1}& b_{L-1}\end{array}\right]}_{L\&times;3},$ In the present embodiment, the L value for example is 256.In order to make following mathematical expression clear and definite; When the mathematic sign of expressing is matrix; Symbol adds the Double bottom line; When the mathematic sign of expressing was vector, symbol added single bottom line like

.When the mathematic sign of expressing is scalar, symbol will can not add bottom line.

Then; The model unit 220 of target indicator utilizes the model of a target indicator that color test sample book

is converted to X-Y-Z color space (step S320); Make color test sample book

be distributed in one first colour gamut, this first colour gamut for example is the colour gamut of target indicator COLOR COMPOSITION THROUGH DISTRIBUTION.In other words, be distributed in the colour gamut of the target indicator color in the X-Y-Z color space through the color test sample book

after model unit 220 conversions of target indicator.In the present embodiment; Target indicator for example is a colouristic properties display preferably; And the model of target indicator for example is the matrix of one N * N; Be expressed as

wherein N be the dimension of color space, in the present embodiment, the N value for example is 3.And via the color test sample book after model unit 222 conversions of target indicator Be expressed as

Its value does $\underset{\&OverBar;}{\underset{\&OverBar;}{{\mathrm{XYZ}}_{D-\mathrm{Ref}}}}=\underset{\&OverBar;}{\underset{\&OverBar;}{M_T}}\underset{\&OverBar;}{\underset{\&OverBar;}{\mathrm{TP}}}.$

Next; Color test sample book after converting unit 224 will be changed will be converted to one second colour gamut (step S330) in the X-Y-Z color space through a transformation model; This second colour gamut for example is the colour gamut that present display color distributes, and display is the present display that drives at present.Wherein, step S330 comprises a plurality of substeps again, and is as shown in Figure 4.

Please refer to Fig. 4, at first, find out first and second RP (step S410) in the colour gamut respectively.Wherein, first RP for example is the white point (white point) in first colour gamut, and in the X-Y-Z color space, is expressed as (T_WP _x, T_WP _Y, T_WP _z), second RP for example is the white point in second colour gamut, and in the X-Y-Z color space, is expressed as (C_WP _x, C_WP _Y, C_WP _z).Then, through an adjustment interface, obtain a colour temperature parameter (be called for short Temp) (step S420), wherein, this adjustment interface for example be user's a operation interface, and the colour temperature (colortemperature) that the user can want through the adjustment of this operation interface.Then, utilize this color temperature parameters Temp, find out one the 3rd RP in one the 3rd colour gamut.Wherein, the 3rd colour gamut for example is the COLOR COMPOSITION THROUGH DISTRIBUTION that the user wanted, and the 3rd RP for example is the white point in the 3rd colour gamut, and in the X-Y-Z color space, is expressed as (U_WP _x, U_WP _Y, U_WP _z).In addition, the environment light source RP in first and second and the 3rd colour gamut for example is the D50 white point, and is shown (D_WP in the location tables of X-Y-Z color space _x, D_WP _Y, D_WP _z).

Next, utilize first, second and the 3rd RP, calculate a transformation model (step S430) in the position of first color space.In the present embodiment, this transformation model for example can be expressed as its value of a matrix and does on mathematics

$\underset{\&OverBar;}{\underset{\&OverBar;}{M_{\mathrm{CA}}}}=K_{\mathrm{\&alpha;}}\underset{\&OverBar;}{\underset{\&OverBar;}{M_A}}\underset{\&OverBar;}{\underset{\&OverBar;}{K_{\mathrm{\&beta;}}^D}}\underset{\&OverBar;}{\underset{\&OverBar;}{M_A^{-1}}}...\left(1\right),$

K in the following formula _αFor example be zoom factor, its value does

For example be diagonal matrix, its value does $\underset{\&OverBar;}{\underset{\&OverBar;}{K_{\mathrm{\&beta;}}^D}}=\mathrm{Diag}(\frac{U\_{\mathrm{WP}}_x}{D\_{\mathrm{WP}}_x},\frac{U\_{\mathrm{WP}}_Y}{D\_{\mathrm{WP}}_Y},\frac{U\_{\mathrm{WP}}_z}{D\_{\mathrm{WP}}_z}),$ -1 expression matrix inversion operation, the diagonal matrix that element is made up of intrinsic vector in regular turn on diag () the expression diagonal line, It is one 3 * 3 reference coordinate transition matrix.In addition; Mathematical expression by above-mentioned (1) formula can know that transformation model for example is one 3 * 3 matrix.

Obtaining transformation model

afterwards; Through transformation model

the color test sample book

of first colour gamut is converted to second colour gamut (step S430), makes the color test sample book be distributed in second colour gamut.Wherein, the color test sample book that is converted to second colour gamut is expressed as

its value and does

$\underset{\&OverBar;}{\underset{\&OverBar;}{{\mathrm{XYZ}}_{D-\mathrm{ill}}}}=\underset{\&OverBar;}{\underset{\&OverBar;}{M_{\mathrm{CA}}}}\underset{\&OverBar;}{\underset{\&OverBar;}{{\mathrm{XYZ}}_{D-\mathrm{ref}}}}...\left(2\right).$

Above-mentioned (1) with its physical significance of mathematical expression of (2) formula be benchmark for color test sample book

with first RP and the 3rd RP with first colour gamut; Change the 3rd colour gamut that the user wants earlier; Be benchmark with the 3rd RP and second RP again, the color test sample book of the 3rd colour gamut is changed to second colour gamut.

Please turn one's head with reference to figure 3; At last; The model unit 226 of present display is converted to the color test sample book

of second colour gamut with reception and utilizes the model of present display; The color test sample book of second colour gamut is converted to R-G-B color space (step S340), makes the color test sample book be distributed in second colour gamut in the R-G-B color space.

In the present embodiment; Display for example is the display that drives at present at present; And the model of display for example is the matrix of one N * N at present; Be expressed as

wherein N be the dimension of color space, in the present embodiment, the N value for example is 3.And through the current display unit 226 after conversion model color test sample

is expressed as

the value

In the present embodiment, the distribution of the RGB color space of the color gamut of the second test sample

will be input to the brightness adjustment module 120.And can know that by above-mentioned mathematical notation mode color test sample book

for example is one 256 * 3 matrix.

Operation by above-mentioned COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module can know, in the process of color gamut conversion, except according to resulting the 3rd colour gamut of the color temperature parameters that the user adjusted; Also the while is according to second colour gamut of present display; Therefore, present embodiment has been considered characteristic of display at present itself in the process of adjustment chromatic characteristic; And then more can bring into play after the adjustment color brightening effect of display display frame.

Please continue with reference to figure 1, the lightness adjusting module 120 in the present embodiment is for example operated lightness adjustment method, and its flow process is as shown in Figure 5, below just the arrange in pairs or groups lightness adjustment method of present embodiment, explain how present embodiment adjusts the color lightness.At first, lightness adjusting module 120 receives a gamma parameter (step S510), and this gamma parameter is for example for adjusting the interface gained through one.In other words, this gamma parameter for example is the parameter that can let the user adjust.Then; Lightness adjusting module 120 receives a GTG input signal (step S520); Wherein, this lightness adjusting module 120 for example is from the color test sample book

after 110 conversions of COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module

Operation by above-mentioned COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module 110 can be known; GTG input signal

belongs to the R-G-B color space; And GTG input signal

has L GTG respectively for the RGB coordinate direction; And in the present embodiment, the L value for example is 256.Therefore, GTG input signal

Be one 256 * 3 matrix, and can be expressed as $\underset{\&OverBar;}{\underset{\&OverBar;}{{\mathrm{RGB}}_{D-\mathrm{Ill}}}}={\left[\begin{array}{ccc}{R}_{\mathrm{In}\_0}& G_{\mathrm{In}\_0}& B_{\mathrm{In}\_0}\\ R_{\mathrm{In}\_1}& G_{\mathrm{In}\_1}& B_{\mathrm{In}\_1}\\ .& .& .\\ .& .& .\\ .& .& .\\ R_{\mathrm{In}\_255}& G_{\mathrm{In}\_255}& B_{\mathrm{In}\_255}\end{array}\right]}_{256\&times;3}.$

Next; After receiving the GTG input signal; Lightness adjusting module 120 will be found out the corresponding maximal value of each GTG in the GTG input signal

, to form maximum gray vector (step S530).Mathematical notation mode by above-mentioned

can know that lightness adjusting module 120 will be found out the maximal value of the element on each row in the GTG input signal

.That is to say that each element in the above-mentioned maximum gray vector is made up of the maximal value of the element on each row in

.In the present embodiment, the maximum gray vector for example is expressed as And element value V wherein _{Max_0}=max{R _{In_0}, G _{In_0}, B _{In_0}, V _{Max_1}=max{R _{In_1}, G _{In_1}, B _{In_1}..., V _{Max_255}=max{R _{In_255}, G _{In_255}, B _{In_255}.And max{} representes to get maximal value.

Next, 120 pairs of maximum gray vectors of lightness adjusting module V _Max Carry out standardization (step S540), make standardization maximum gray vector afterwards V _Max For $\underset{\&OverBar;}{V_{\mathrm{Max}}}=\left[\begin{array}{cccc}\frac{V_{\mathrm{Max}\_0}}{S}& \frac{V_{\mathrm{Max}\_1}}{S}& ...& \frac{V_{\mathrm{Max}\_L-1}}{S}\end{array}\right].$ Wherein, S is a normalizing parameter S, and its value is the maximal value of the element in the maximum gray vector before the standardization, in other words, and S=max{V _{Max_0}, V _{Max_1}..., V _{Max_255}.Can know the maximum gray vector after the standardization by the mathematical expression in above-mentioned V _Max In each element value all between 0～1.Present embodiment is described for ease, below with the maximum gray after standardization vector V _Max Be expressed as $\left[\begin{array}{cccc}{\stackrel{\&OverBar;}{V}}_{\mathrm{Max}\_0}& {\stackrel{\&OverBar;}{V}}_{\mathrm{Max}\_1}& ...& {\stackrel{\&OverBar;}{V}}_{\mathrm{Max}\_255}\end{array}\right].$

Next, the vector of the maximum gray after lightness adjusting module 120 normalized V _Max In the power (step S550) of gamma parameter of each element, to obtain index GTG vector.Wherein, the gamma parameter is the parameter that is received among the step S510, is expressed as Gamma.The vector representation of index GTG does

Its value does $\underset{\&OverBar;}{V_{\mathrm{Max}}^{\mathrm{Gamma}}}=\left[\begin{array}{cccc}{\left({\stackrel{\&OverBar;}{V}}_{\mathrm{Max}\_0}\right)}^{\mathrm{Gamma}}& {\left({\stackrel{\&OverBar;}{V}}_{\mathrm{Max}\_1}\right)}^{\mathrm{Gamma}}& ...& {\left({\stackrel{\&OverBar;}{V}}_{\mathrm{Max}\_255}\right)}^{\mathrm{Gamma}}\end{array}\right].$

Then, lightness adjusting module 120 is with index GTG vector

In each element respectively divided by maximum gray vector V _Max Middle corresponding element is to obtain first brightness adjustment multiplying power (step S560).Wherein, first brightness adjustment multiplying power is expressed as M, its value does

$\underset{\&OverBar;}{M}=\left[\begin{array}{cccc}\frac{{\left({\stackrel{\&OverBar;}{V}}_{\max \_0}\right)}^{\mathrm{Gamma}}}{{\stackrel{\&OverBar;}{V}}_{\max \_0}}& \frac{{\left({\stackrel{\&OverBar;}{V}}_{\max \_1}\right)}^{\mathrm{Gamma}}}{{\stackrel{\&OverBar;}{V}}_{\max \_1}}& ...& \frac{{\left({\stackrel{\&OverBar;}{V}}_{\max \_255}\right)}^{\mathrm{Gamma}}}{{\stackrel{\&OverBar;}{V}}_{\max \_255}}\end{array}\right].$

Next, lightness adjusting module 120 utilizes a scale parameter, with first brightness adjustment multiplying power MBe adjusted into one second brightness adjustment multiplying power (step S570).Wherein scale parameter is expressed as Strength for the parameter through above-mentioned adjustment interface gained, and it is worth between 0～1.Second brightness adjustment multiplying power is expressed as α=[α ₀α ₁α ₂₅₅], its value does α=(1-Strength)+ M* Strength, in other words, second brightness adjustment multiplying power αEach interior element ${\mathrm{\&alpha;}}_i=(1-\mathrm{Strength})+\left(\frac{{\left({\stackrel{\&OverBar;}{V}}_{\mathrm{Max}\_i}\right)}^{\mathrm{Gamma}}}{{\stackrel{\&OverBar;}{V}}_{\mathrm{Max}\_i}}\right)\&times;\mathrm{Strength},$ And i is the integer between 0～255.

In the present embodiment, aforementioned proportion parameter S trength is in order to let the user finely tune the parameter of brightness, and the brightness that makes lightness adjusting module 120 adjusted is influenced by gamma parameter Gamma not only.In other words, scale parameter Strength can dwindle the adjustment multiplying power of gamma parameter Gamma to brightness.When Strength=1, brightness adjustment multiplying power MWith αWith identical, and do not dwindle the adjustment multiplying power of gamma parameter Gamma to brightness.And when Strength=0, second brightness adjustment multiplying power α=0, and make brightness not influenced by gamma parameter Gamma, that is to say that lightness adjusting module 120 will can not adjusted the GTG input signal

Brightness.

At last, obtaining second brightness adjustment multiplying power αAfterwards, lightness adjusting module 120 is with second brightness adjustment multiplying power αIn element multiply by the corresponding GTG of GTG input signal respectively, to obtain GTG output signal (step S580).At length say, for the R coordinate direction in the color space, the GTG input signal

Set at the GTG of R coordinate direction can be expressed as { R _{In_0}, R _{In_1}..., R _{In_255}.And GTG output signal is expressed as { R in the set of the GTG of R coordinate direction _{Out_0}, R _{Out_1}..., R _{Out_255}, R wherein _{Out_0}=α ₀* R _{In_0}, R _{Out_1}=α ₁* R _{In_1}..., R _{Out_255}=α ₂₅₅* R _{In_255}In like manner, in step S580, also can obtain of the set of GTG output signal, be expressed as { G respectively at the GTG of G and B coordinate direction _{Out_0}, G _{Out_1}... G _{Out_255}And { B _{Out_0}, B _{Out_1}..., B _{Out_255}, G wherein _{Out_i}=α _i* G _{In_i}, B _{Out_i}=α _i* B _{In_i}, i is the integer between 0～255.And lightness adjusting module 120 exports the GTG output signal that is calculated to saturation degree adjusting module 130.

Please continue with reference to figure 1, the saturation degree module 130 in the present embodiment is for example operated saturation degree adjustment method, and its flow process is as shown in Figure 6, below just the arrange in pairs or groups saturation degree adjustment method of present embodiment, explain how present embodiment adjusts color saturation.At first, saturation degree module 130 receives color input signal (step S610).In the present embodiment, the color input signal that saturation degree adjusting module 130 received is for example for coming from the GTG output signal that lightness adjusting module 120 is exported.Therefore, can know that GTG output signal comprises three coordinate directions of RGB, and all has a plurality of GTGs (to comprise { R for each coordinate direction by the operation of above-mentioned lightness adjusting module 120 _{Out_0}, R _{Out_1}..., R _{Out_255}, { G _{Out_0}, G _{Out_1}..., G _{Out_255}And { B _{Out_0}, B _{Out_1}..., B _{Out_255}).

Because the adjustment of the saturation degree that each GTG carried out in the 130 pairs of coordinate directions of saturation degree adjusting module in the present embodiment is similar, therefore, below be example with any GTG in the R coordinate direction, and with R _InExpression, in other words, following examples hypothesis color input signal is R _In, and saturation degree adjusting module 130 is only to color input signal R _InCarry out the adjustment of saturation degree.

Then, saturation degree adjusting module 130 will receive a saturation parameters (being called for short Sat), and utilize this saturation parameters, and a special function is adjusted into an adjustment function (step S620).Wherein, this special function for example is mapping of a set onto another (one-to-one and onto) function one to one, is expressed as Y=F (X).At this present embodiment is described for ease, this special function for example is tanh (Hyperbolic tangent) function in the hyperbolic function (Hyperbolic Function), is expressed as Y=tanh (X), and its functional digraph is as shown in Figure 7.Above-mentioned saturation parameters Sat for example for through above-mentioned adjustment interface gained parameter, lets the user can adjust the saturation degree of color through saturation parameters Sat.

In above-mentioned steps S620, saturation degree adjusting module 130 will utilize saturation parameters Sat, adjust the curvature (curvature) of Function Y=tanh (X), and adjusted adjustment function for example be expressed as Y=tanh [(S ₂* Sat+1) X], S wherein ₂It for example is a parameter preset.At this, if parameter preset S ₂When being positive number with the product of saturation parameters Sat, with making the curvature of adjustment function greater than special function originally, the functional digraph of adjustment function for example is shown in Figure 8.

Next, saturation degree adjusting module 130 utilizes a translation parameters with color input signal R _InConvert r into _In(step S630).Wherein translation parameters is expressed as D, and the color input signal after the conversion is expressed as r _In, and r _InWith R _InRelation be r _In=(R _In-D)/and D, D is a positive number.In the present embodiment, color input signal R _InFor example the field of definition of function is adjusted in conduct, and above-mentioned with color input signal R _InConvert r into _InStep then for example be that the adjustment function is carried out coordinate conversion and translation, therefore, if the adjustment function representation be Y=tanh [(S ₂* Sat+1) R _In], its functional digraph is as shown in Figure 9.

Then, the color input signal r after the 130 calculating conversions of saturation degree adjusting module _InCorresponding functional value (step S640), and utilize r _InCorresponding functional value is exported signal as color.Wherein color output signal indication is h _r, its value for example is h _r=S _r* tanh [(S ₂* Sat+1) r _In].Wherein, S _rFor example be a zooming parameter, in order to linear amplification or dwindle r _InCorresponding functional value makes color output signal h _rValue can be between the scope of system design.

Next, saturation degree adjusting module 130 utilizes a scale parameter, and color is exported signal h _rBe adjusted into r _Out(step S650).Wherein scale parameter be expressed as Str, and the value of scale parameter is between 0～1 for the parameter through above-mentioned adjustment interface gained.Adjusted color output signal h _rBe expressed as r _Out, its value is r _Out=(1-Str) * r _In+ Str * h _rAforementioned proportion parameter S tr for example is similar to the scale parameter Strength of above-mentioned lightness adjusting module 120, its objective is the parameter of further fine setting saturation degree, and the brightness that makes saturation degree adjusting module 130 adjusted is influenced by saturation parameters Sat not only.

At last, saturation degree adjusting module 130 is with adjusted color output signal r _OutConvert R into _Out(step S660).R wherein _OutColor output signal after the expression conversion, and r _OutWith R _OutRelation be R _Out=r _Out* D+D, D are employed translation parameters among the above-mentioned steps S630.Because in above-mentioned steps S630, saturation degree adjusting module 130 has carried out the conversion and the translation of coordinate, thereby calculating color output signal r _OutAfterwards, saturation degree adjusting module 130 also must utilize original translation parameters D to carrying out the coordinate reduction in step S660, obtains actual color output signal R _OutValue.

In addition, though above-mentioned be example with any GTG in the R coordinate direction since present embodiment in each coordinate direction in a plurality of GTG ({ R _{Out_0}, R _{Out_1}..., R _{Out_255}, { G _{Out_0}, G _{Out_1}..., G _{Out_255}And { B _{Out_0}, B _{Out_1}..., B _{Out_255}) saturation degree adjustment similar, therefore, each GTG in three coordinate directions of RGB all can be found out the color output signal R of a correspondence _OutWhat deserves to be mentioned is that because the scope of the value of the GTG that each coordinate direction is imported is different, perhaps the saturation degree of institute's desire adjustment is different, therefore above-mentioned zooming parameter S _r, translation parameters D or parameter preset S ₂Can change according to different coordinate directions.

Operation by above-mentioned saturation degree adjusting module 130 can know, present embodiment is the corresponding relation that utilizes field of definition and codomain in the special function, finds out the relation of input and output.In other words, when the adjustment color saturation, present embodiment only need be adjusted special function, just can directly adjust the saturation degree of color output signal, and no longer need use the mode of tabling look-up, and finds out input and the relation of exporting.In addition; Above-mentioned special function all is to be example with the hyperbolic tangent function, but this area tool is known the knowledgeable usually and should be known that special function also can be the function of cosh (Hyperbolic cosine) function, sinh (Hyperbolic sine) function or other kind.

Please turn one's head with reference to figure 1; Color test sample book

is via after COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module 110,130 3 module adjustment of lightness adjusting module 120 and saturation degree adjusting module, and its color colour temperature, lightness and saturation degree are adjusted according to the parameter that the user sets all.At last, processing module 140 will be by adjusted color test sample book (the corresponding color output signal R of each GTG that just above-mentioned saturation degree adjusting module is exported _Out), computing obtains gamma slope (Gamma Ramps).After processing module 140 obtained the gamma slope, the gamma slope can be stored in the video card or display chip of computer system, let video card can utilize the gamma slope adjustment of gained to export to the signal of display.In other words, computer system not be used in the execution color and increases gorgeous software, and the picture that just display can be demonstrated has colour vividness preferably.

The model unit 222 of the target indicator in the COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module 110 in the foregoing description with color test sample book

by the R-G-B color space transformation to the X-Y-Z color space.With the technology of present image processing, the model unit 222 of above-mentioned target indicator includes a plurality of linear search tables (one Dimension Look-Up Table is called for short 1D-LUT) 1010～1030 and one matrix operation unit 1050, and is shown in figure 10.Above-mentioned color test sample book The data that is divided into the R coordinate direction TP _R , the data of G coordinate direction TP _G , and the data of B coordinate direction TP _B And matrix operation unit 1050 comprises the model of a target indicator, for example above-mentioned matrix

The data of three coordinate directions of color test sample book TP _R , TP _G And TP _B Find out corresponding data by linear search table 1010～1030 respectively, the data with linear search table 1010～1030 outputs multiply by matrix via matrix operation unit 1050 again

To be converted to the X-Y-Z color space.

Likewise, the model unit 226 of above-mentioned present display includes a matrix inverse operation unit 1110 and the anti-look-up table of a plurality of linearity (one Dimension Inversion Look-Up Table is called for short 1D-ILUT) 1120～1140 and shown in figure 11.And above-mentioned color test sample book

The data that is divided into the X coordinate direction X _D-ref , the data of G coordinate direction Y _D-ref , and the data of B coordinate direction Z _D-ref And matrix inverse operation unit 1050 comprises the model of a present display, for example above-mentioned matrix

The data of three coordinate directions of color test sample book X _D-ref , Y _D-ref And Z _D-ref Through matrix inverse operation unit 1110 and matrix

Inverse matrix

After multiplying each other, be converted to the R-G-B color space, find out corresponding data by the anti-look-up table 1120～1140 of linearity respectively again.

Can know that by the foregoing description use above-mentioned Fig. 1～2 and Figure 10～11 simultaneously, the color Adjustment System can be shown in figure 12.Please refer to Figure 12, color Adjustment System 1200 comprises the model unit 222, converting unit 224 of receiver module 210, target indicator, model unit 226 lightness adjusting modules 120, image module 1210, the saturation degree adjusting module 130 and processing module 140 of display at present.Wherein each element in the color Adjustment System 1200 is similar to above-mentioned Fig. 1～2 and Figure 10～11; Difference is that color Adjustment System 1200 also comprises an image module 1210, in order to let the output utilization of lightness adjusting module 120 be uniformly distributed in the preset scope.

In the above-described embodiments, though processing module 140 is to utilize via the adjusted color test sample book in each unit, front, computing obtains the gamma slope.But this area tool knows that usually the knowledgeable should know by inference, and spirit of the present invention is how to adjust the chromatic characteristic of display, is not can only be applied to computing to obtain the gamma slope.

In sum, present embodiment has the following advantages at least:

1. present embodiment is in the specific process of adjustment color; Consider characteristic of display at present itself, thereby made display under different color temperature parameters, can possess maximum gamut range; And then make after the adjustment chromatic characteristic, intactly present color and increase gorgeous effect.

2. because present embodiment through the gamma slope of color adjustment gained, can be applied in the present video card and display chip, make computer system must just can not increase the colour vividness of display at cost additional hardware equipment and cost.In addition, can let video card directly utilize the gamma slope adjustment of gained to export to the signal of display, thereby present embodiment can not increase the operand of central processing unit in the computer system yet yet.

3. present embodiment is the corresponding relation that utilizes field of definition and codomain in the special function, finds out the relation of input and output.In other words, present embodiment only need be adjusted the curvature of special function in the process of adjustment, just can directly adjust the saturation degree of color output signal, and no longer need use the mode of tabling look-up, and finds out input and the relation of exporting.

Though the present invention discloses as above with preferred embodiment; Right its is not in order to limit the present invention; Has common knowledge the knowledgeable in the technical field under any; Do not breaking away from the spirit and scope of the present invention, when can doing a little change and retouching, so protection scope of the present invention is as the criterion when looking claims person of defining.

Claims (14)

1. a method for regulating color distribution is characterized in that, above-mentioned method for regulating color distribution comprises:

A., first colour gamut and second colour gamut are provided;

B. find out first RP of above-mentioned first colour gamut;

C. find out second RP of above-mentioned second colour gamut;

D. through the adjustment interface, obtain color temperature parameters, utilize above-mentioned color temperature parameters to find out the 3rd RP of the 3rd colour gamut; And

E. utilizing above-mentioned first, second and the 3rd RP in the position of first color space, calculate transformation model, is benchmark with above-mentioned first RP and above-mentioned second RP, through above-mentioned transformation model, with above-mentioned first color gamut conversion to above-mentioned second colour gamut.

2. method for regulating color distribution according to claim 1 is characterized in that, wherein through above-mentioned transformation model, the step of above-mentioned first color gamut conversion to above-mentioned second colour gamut is comprised:

With above-mentioned first RP and above-mentioned the 3rd RP is benchmark, with above-mentioned the 3rd colour gamut of above-mentioned first color gamut conversion; And

With above-mentioned the 3rd RP and above-mentioned second RP is benchmark, with above-mentioned the 3rd color gamut conversion to above-mentioned second colour gamut.

3. method for regulating color distribution according to claim 2 is characterized in that, wherein above-mentioned first color space is with X-Y-Z coordinate representation, and above-mentioned first RP is shown (T_WP in the location tables of above-mentioned first color space _x, T_WP _Y, T_WP _z), above-mentioned second RP is shown (C_WP in the location tables of above-mentioned first color space _x, C_WP _Y, C_WP _z), above-mentioned the 3rd RP is shown (U_WP in the location tables of above-mentioned first color space _x, U_WP _Y, U_WP _z), above-mentioned transformation model is expressed as M _CA, its value does $\underset{\&OverBar;}{\underset{\&OverBar;}{M_{\mathrm{CA}}}}=K_{\mathrm{\&alpha;}}\underset{\&OverBar;}{\underset{\&OverBar;}{M_A}}\underset{\&OverBar;}{\underset{\&OverBar;}{K_{\mathrm{\&beta;}}^D}}\underset{\&OverBar;}{\underset{\&OverBar;}{M_A^{-1}}},$ Wherein $K_{\mathrm{\&alpha;}}=\frac{T\_{\mathrm{WP}}_Y}{C\_{\mathrm{WP}}_Y},$

Be diagonal matrix, $\underset{\&OverBar;}{\underset{\&OverBar;}{K_{\mathrm{\&beta;}}^D}}=\mathrm{Diag}(\frac{U\_{\mathrm{WP}}_x}{D\_{\mathrm{WP}}_x},\frac{U\_{\mathrm{WP}}_Y}{D\_{\mathrm{WP}}_Y},\frac{U\_{\mathrm{WP}}_z}{D\_{\mathrm{WP}}_z}),$ (D_WP _x, D_WP _Y, D_WP _z) be the expression position of environment light source RP in above-mentioned first color space, M _ABe the reference coordinate transition matrix ,-1 expression matrix inversion operation, the diagonal matrix that element is made up of intrinsic vector in regular turn on diag () the expression diagonal line.

4. method for regulating color distribution according to claim 3; It is characterized in that; Wherein above-mentioned first RP is the white point in above-mentioned first colour gamut, and above-mentioned second RP is the white point in above-mentioned second colour gamut, and above-mentioned the 3rd RP is the white point in above-mentioned the 3rd colour gamut.

5. method for regulating color distribution according to claim 1 is characterized in that, wherein above-mentioned first colour gamut is the colour gamut of target indicator, and above-mentioned method for regulating color distribution also comprises:

The color test sample book is provided, and wherein above-mentioned color test sample book belongs to second color space;

The model of above-mentioned target indicator is provided; And

Utilize the model of above-mentioned target indicator, above-mentioned color test sample book is converted to above-mentioned first color space, make above-mentioned color test sample book be distributed in above-mentioned first colour gamut in above-mentioned first color space.

6. method for regulating color distribution according to claim 5 is characterized in that, the matrix representation that wherein above-mentioned color test sample book is L * N is TP; Wherein, The line number of L representing matrix, the columns of N representing matrix, the model of above-mentioned target indicator are that the matrix representation of N * N is M _T, wherein, the line number of N representing matrix and columns, the above-mentioned step that above-mentioned color test sample book is converted to above-mentioned first color space comprises:

Model M with above-mentioned color test sample book TP and above-mentioned target indicator _TCarry out the multiplication of matrices computing,, be expressed as XYZ to obtain being distributed in the above-mentioned color test sample book of above-mentioned first colour gamut in above-mentioned first color space _D-ref, its value is XYZ _D-ref=M _TTP.

7. method for regulating color distribution according to claim 5 is characterized in that above-mentioned steps d comprises:

Utilize above-mentioned transformation model, the above-mentioned color test sample book that is distributed in above-mentioned first colour gamut is converted to above-mentioned second colour gamut, make above-mentioned color test sample book be distributed in above-mentioned second colour gamut in above-mentioned first color space.

8. method for regulating color distribution according to claim 7; It is characterized in that; The matrix representation that wherein above-mentioned transformation model is N * N for

wherein; The step that the above-mentioned above-mentioned color test sample book that will be distributed in above-mentioned first colour gamut that the line number of N representing matrix and columns, the above-mentioned color test sample book that is distributed in above-mentioned first colour gamut in above-mentioned first color space are expressed as is converted to above-mentioned second colour gamut comprises:

Above-mentioned color test sample book with above-mentioned first colour gamut

With above-mentioned transformation model

Carry out the multiplication of matrices computing,, be expressed as to obtain being distributed in the above-mentioned color test sample book in above-mentioned second colour gamut

Its value does $\underset{\&OverBar;}{\underset{\&OverBar;}{{\mathrm{XYZ}}_{D-\mathrm{Ill}}}}=\underset{\&OverBar;}{\underset{\&OverBar;}{M_{\mathrm{CA}}}}\&times;\underset{\&OverBar;}{\underset{\&OverBar;}{{\mathrm{XYZ}}_{D-\mathrm{Ref}}}}.$

9. method for regulating color distribution according to claim 7 is characterized in that, wherein above-mentioned second colour gamut is the colour gamut of present display, after above-mentioned steps d, also comprises:

The model of above-mentioned present display is provided; And

Utilize the model of above-mentioned present display; The above-mentioned color test sample book that is distributed in above-mentioned second colour gamut in above-mentioned first color space is converted to above-mentioned second colour gamut in above-mentioned second color space, makes above-mentioned color test sample book be distributed in above-mentioned second colour gamut in above-mentioned second color space.

10. method for regulating color distribution according to claim 9; It is characterized in that; Wherein the model of above-mentioned present display be N * N matrix representation for

wherein; The step that the above-mentioned above-mentioned color test sample book that will be distributed in above-mentioned second colour gamut in above-mentioned first color space that the line number of N representing matrix and columns, the above-mentioned color test sample book that is distributed in above-mentioned second colour gamut in above-mentioned first color space are expressed as

is converted to above-mentioned second colour gamut in above-mentioned second color space comprises:

Above-mentioned color test sample book with above-mentioned second colour gamut

Model with above-mentioned present display Inverse matrix carry out the multiplication of matrices computing, to obtain being distributed in the above-mentioned color test sample book of above-mentioned second colour gamut in above-mentioned second color space, be expressed as

Its value does $\underset{\&OverBar;}{\underset{\&OverBar;}{{\mathrm{RGB}}_{D-\mathrm{Ill}}}}=\underset{\&OverBar;}{\underset{\&OverBar;}{M_C^{-1}}}\&times;\underset{\&OverBar;}{\underset{\&OverBar;}{{\mathrm{XYZ}}_{D-\mathrm{Ill}}}}.$

11. method for regulating color distribution according to claim 10 is characterized in that, above-mentioned method for regulating color distribution also comprises:

Utilization is distributed in the above-mentioned color test sample book of above-mentioned second colour gamut in above-mentioned second color space, calculates the gamma slope.

12. a COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module is characterized in that, above-mentioned COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module comprises:

Receiver module is in order to receive the color test sample book;

The adjustment interface, in order to receive color temperature parameters, wherein, above-mentioned modular converter utilizes above-mentioned color temperature parameters, finds out the 3rd RP of the 3rd colour gamut; And

Modular converter; Store first colour gamut and second colour gamut; In order to above-mentioned color test sample book is converted to above-mentioned first colour gamut, find out first RP and second RP of above-mentioned second colour gamut in above-mentioned first colour gamut respectively, utilize above-mentioned first, second and the 3rd RP in the position of first color space; Calculate transformation model; And be benchmark with second RP of first RP in above-mentioned first colour gamut and above-mentioned second colour gamut, through above-mentioned transformation model, the above-mentioned color test sample book that is distributed in above-mentioned first colour gamut is converted to above-mentioned second colour gamut.

13. COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module according to claim 12 is characterized in that, wherein above-mentioned first colour gamut is the colour gamut of target indicator, and above-mentioned second colour gamut is the colour gamut of present display, and above-mentioned modular converter comprises:

The model unit of target indicator; Model with target indicator; And use the model of above-mentioned target indicator that above-mentioned color test sample book is converted to first color space, make above-mentioned color test sample book be distributed in above-mentioned first colour gamut in above-mentioned first color space;

Converting unit; With above-mentioned first RP and above-mentioned the 3rd RP is benchmark; The above-mentioned color test sample book that is distributed in above-mentioned first colour gamut is converted to above-mentioned the 3rd colour gamut; Be benchmark with above-mentioned second RP and above-mentioned the 3rd RP again, the above-mentioned color test sample book that is distributed in above-mentioned the 3rd colour gamut is converted to above-mentioned second colour gamut; And

The model unit of present display; Model with present display; And use the model of above-mentioned present display; The above-mentioned color test sample book of above-mentioned second colour gamut of above-mentioned first color space is converted to above-mentioned second color space, makes above-mentioned color test sample book be distributed in above-mentioned second colour gamut in above-mentioned second color space.

14. COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module according to claim 13 is characterized in that, above-mentioned COLOR COMPOSITION THROUGH DISTRIBUTION adjusting module also comprises:

Processing module is utilized the above-mentioned color test sample book that is distributed in above-mentioned second colour gamut, calculates the gamma slope.

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