CN103106888A - Three-dimensional color gamut boundary description method - Google Patents
Three-dimensional color gamut boundary description method Download PDFInfo
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- CN103106888A CN103106888A CN2013100146136A CN201310014613A CN103106888A CN 103106888 A CN103106888 A CN 103106888A CN 2013100146136 A CN2013100146136 A CN 2013100146136A CN 201310014613 A CN201310014613 A CN 201310014613A CN 103106888 A CN103106888 A CN 103106888A
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Abstract
The invention discloses a three-dimensional color gamut boundary description method. The method comprises a first step of setting electronic color target data, a second step of regulating environment setting around a display, a third step of selecting data in the outer surface of a cube from all sample points when extracting a device color gamut boundary and extracting red-blue-green (RGB) values of six external joint faces, a fourth step of extracting a color gamut boundary discrete point of an RGB space from all characterization modeling data and generating 128 triangles through an external joint face of an RGB cube, a fifth step of describing appearance of an RGB color gamut, and a sixth step of converting RGB values of top marks of all the triangles to CIELAB values which are obtained through measurement and carrying out sealed patching to all triangles in a CIELAB space to obtain a color gamut appearance picture. The method is simple in procedure, fast in calculation, and capable of accurately extracting the color gamut of a device type.
Description
Technical field
The invention belongs to the image color processing technology field, relate to a kind of three-dimensional gamut contour description method.
Background technology
At present in three-dimensional gamut contour description algorithm relatively more commonly used, Herzog is considered as the printer colour gamut hexahedron of one distortion, 8 summits in the corresponding CIELAB space are as the basis, by the deformation extent of resolving 12 limits and 6 faces, the colour gamut deformation extent is described, its device description to more regular colour gamut is more accurate, but for conventional equipment, its colour gamut systematicness is poor.M.Mahy proposes a kind of colour gamut analytic model based on the Neugebauer equation, n look colour generation system decomposition is become a plurality of n-1 colour system systems, but be subjected to Model restrict, and is inapplicable to the equipment of RGB additive color process principle.The sealing that it is boundary surface that the Huang Qingmei of Beijing Institute of Technology also is considered as six curved surfaces with device color gamut is three-dimensional, represents boundary surface with the Zernike polynomial expression.Doctor Wang Yong of Zhejiang University proposes the calculating that a kind of TVHOP bivariate higher order polynomial analytic model is used for the device color gamut border, at first adopt GOG model and limit (face) judgment criterion to calculate gamut boundary in the RGB color space when describing the CRT monitor colour gamut, then each surface of gamut boundary is described with the bivariate higher order polynomial in the CIELAB color space, these models are when describing gamut boundary, use complicated analytic expression, use and inconvenience.In addition, Raja B. proposes to describe colour gamut with improved convex hull algorithm, it extracts the numerical value that is in boundary member in discrete sample point by convex hull algorithm, but because partial interior point often is considered to frontier point, the gamut boundary that therefore calculates generally all surpasses 10% of actual colour gamut.Morovic proposes subregion and maximizes algorithm calculating colour gamut, and the advantage of this algorithm is quick and convenient, can not find frontier point but often exist in the part subregion, and need to re-construct by interpolation, and this also introduces error to a certain extent.
Summary of the invention
The purpose of this invention is to provide a kind of three-dimensional gamut contour description method, solved be difficult in prior art realize fast, Obtaining Accurate RGB or CMY color devices gamut boundary and carry out visual problem.
The technical solution adopted in the present invention is, a kind of three-dimensional gamut contour description method is implemented according to following steps:
Step 1, setting electronics look target data
Adjust according to output and the Measuring Time of the required control of user, default setting is that R, G, B single channel evenly are divided into 9 grades, the discrete span that is the single channel motivation value is [0 32 64 96 128 160 192 224 255], if the driving range of signal of subscriber equipment is 0 ~ 1, above motivation value span is [0 32 64 96 128 160 192 224 255]/255, in the electronics look target of setting up, color lump RGB motivation value comprises 9 * 9 * 9=729 color lump altogether according to above span mixed gradient;
Environment setting around step 2, adjustment display
The setting colour temperature is 6500K, sets the Gamma value; After preheating, show all color lumps on the look target, with CIELAB value corresponding to spectrophotometer measurement, with rgb value and the CIELAB value corresponding stored of each color lump;
step 3, in the RGB color space, its colour gamut outward appearance is the cube structure of rule, need to select the data that are in the cube outside surface during extraction equipment gamut boundary from all sample points, adopt the look target data of acquiescence in step 1, extract the cubical boundary information of RGB, divergent boundary point colouring information for all 12 limits, in three passages, one of them passage color value is 0 ~ 255 gradual change, and two other passage all fixedly is in 0 or 255 extreme value state, so on 12 limits of extracting, every limit comprises 9 frontier points, corresponding rgb value is respectively:
L1：R=[0?32?64?96?128?160?192?224?255]；G=0；B=0，
L2：R=[0?32?64?96?128?160?192?224?255]；G=0；B=255，
L3：R=[0?32?64?96?128?160?192?224?255]；G=255；B=0，
L4：R=[0?32?64?96?128?160?192?224?255]；G=255；B=255，
L5：G=[0?32?64?96?128?160?192?224?255]；R=0；B=0，
L6：G=[0?32?64?96?128?160?192?224?255]；R=0；B=255，
L7：G=[0?32?64?96?128?160?192?224?255]；R=255；B=0，
L8：G=[0?32?64?96?128?160?192?224?255]；R=255；B=255，
L9：B=[0?32?64?96?128?160?192?224?255]；G=0；R=0，
L10：B=[0?32?64?96?128?160?192?224?255]；G=0；R=255，
L11：B=[0?32?64?96?128?160?192?224?255]；G=255；R=0，
L12：B=[0?32?64?96?128?160?192?224?255]；G=255；R=255，
In addition, the RGB colour gamut comprises 6 outer junctions, in the frontier point information in these 6 outer junctions, all that a channel value is in extreme value, two other channel value gradual change, so in 6 outer junctions, each outer junction all includes 81 frontier points, the rgb value of 6 outer junctions is respectively:
F1：R=0；G=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F2：R=255；G=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F3：G=0；R=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F4：G=255；R=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F5：B=0；G=[0?32?64?96?128?160?192?224?255]；R=[0?32?64?96?128?160?192?224?255]，
F6：B=255；G=[0?32?64?96?128?160?192?224?255]；R=[0?32?64?96?128?160?192?224?255]；
Step 4, utilize the data message of step 3, extract the gamut boundary discrete point of rgb space from all characterization modeling datas, utilize 81 frontier points in each outer junction, first every four adjacent frontier points are formed a square, the diagonal line that recycles 2 compositions in each square upper left corner and the lower right corner is divided into two triangles, and the cubical outer junction of RGB produces 128 triangles altogether like this;
Step 5, description RGB colour gamut outward appearance
The triangle of cutting apart generation for 6 outer junctions of step 4 pair RGB cube, they are carried out color filling, during to each triangle Fill Color, the information on three summits leg-of-mutton according to each, carry out color filling in rgb space, its color value represents with following formula:
T
i＝(A
i+B
i+C
i)/3，
Wherein i represents Color Channel R, G or the B on summit, the color value of Ti for needing to fill, and A, B, C are leg-of-mutton three summits, and all triangles are sealed filling, obtain RGB cube colour gamut outward appearance;
Step 6, the RGB cube gamut boundary point that utilizes step 4 to extract, search in the measurement data of step 2 storage, find out corresponding CIELAB value, the discrete form of these frontier points is described in the CIELAB space, then according to 128 triangular construction orders in 6 outer junctions in the RGB cube, each outer junction, convert the rgb value of all triangular apex to measure acquisition CIELAB value, in the CIELAB space, all triangles are sealed paster, obtain the colour gamut outside drawing.
The invention has the beneficial effects as follows: the deficiency of considering above algorithm, first to search device space gamut boundary, then it to be transformed into thinking in chrominance space CIELAB, and because the device space colour gamut of RGB or CMY equipment is corresponding with CIELAB chrominance space colour gamut, step is easy, computing is quick, can accurately extract the gamut boundary of this device type.
Description of drawings
Fig. 1 is divergent boundary point in rgb space in three-dimensional gamut contour description method of the present invention;
Fig. 2 is the tessellation of the RGB colour gamut face in the inventive method;
Fig. 3 is the RGB cube colour gamut outward appearance in the inventive method;
Fig. 4 is that RGB equipment in the inventive method is in the CIELAB space gamut.
Embodiment
The principle of work of three-dimensional gamut contour description method of the present invention is: for three color look equipment, take the RGB display as example, its device color spaces is RGB, its standard colorimetric space is chosen as CIELAB, at first make the electronics color lump of some, according to the demonstration of RGB motivation value in display in each color lump, by CIELAB value corresponding to survey record; Owing to being separate between R, G, B triple channel, the color value that is any independent passage can't replace with another one or two passages, therefore can be considered gamut boundary corresponding in its device color spaces, is corresponding with gamut boundary in CIELAB standard colorimetric space.
Three-dimensional gamut contour description method of the present invention, implement according to following steps:
Step 1, setting electronics look target data
Adjust according to output and the Measuring Time of the required control of user, default setting is that R, G, B single channel evenly are divided into 9 grades, the discrete span that is the single channel motivation value is [0 32 64 96 128 160 192 224 255], if the driving range of signal of subscriber equipment is 0 ~ 1, above motivation value span is [0 32 64 96 128 160 192 224 255]/255, in the electronics look target of setting up, color lump RGB motivation value comprises 9 * 9 * 9=729 color lump altogether according to above span mixed gradient.
Environment setting around step 2, adjustment display
The setting colour temperature is 6500K, and when setting the Gamma value, system is 1.8 for apple, is 2.2 for PC; About preheating 30 minutes, show all color lumps on the look target, with CIELAB value corresponding to spectrophotometer measurement, with rgb value and the CIELAB value corresponding stored of each color lump.
step 3, as shown in Figure 1, in the RGB color space, from the position of describing all color lumps as seen, its colour gamut outward appearance is the cube structure of rule, need to select the data that are in the cube outside surface during extraction equipment gamut boundary from all sample points, adopt the look target data of acquiescence in step 1, extract the cubical boundary information of RGB, divergent boundary point colouring information for all 12 limits, in three passages, one of them passage color value is 0 ~ 255 gradual change, and two other passage all fixedly is in 0 or 255 extreme value state, so on 12 limits of extracting, every limit comprises 9 frontier points, corresponding rgb value is respectively:
L1：R=[0?32?64?96?128?160?192?224?255]；G=0；B=0，
L2：R=[0?32?64?96?128?160?192?224?255]；G=0；B=255，
L3：R=[0?32?64?96?128?160?192?224?255]；G=255；B=0，
L4：R=[0?32?64?96?128?160?192?224?255]；G=255；B=255，
L5：G=[0?32?64?96?128?160?192?224?255]；R=0；B=0，
L6：G=[0?32?64?96?128?160?192?224?255]；R=0；B=255，
L7：G=[0?32?64?96?128?160?192?224?255]；R=255；B=0，
L8：G=[0?32?64?96?128?160?192?224?255]；R=255；B=255，
L9：B=[0?32?64?96?128?160?192?224?255]；G=0；R=0，
L10：B=[0?32?64?96?128?160?192?224?255]；G=0；R=255，
L11：B=[0?32?64?96?128?160?192?224?255]；G=255；R=0，
L12：B=[0?32?64?96?128?160?192?224?255]；G=255；R=255，
In addition, the RGB colour gamut comprises 6 outer junctions, in the frontier point information in these 6 outer junctions, all that a channel value is in extreme value, two other channel value gradual change, so in 6 outer junctions, each outer junction all includes 81 frontier points, the rgb value of 6 outer junctions is respectively:
F1：R=0；G=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F2：R=255；G=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F3：G=0；R=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F4：G=255；R=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F5：B=0；G=[0?32?64?96?128?160?192?224?255]；R=[0?32?64?96?128?160?192?224?255]，
F6：B=255；G=[0?32?64?96?128?160?192?224?255]；R=[0?32?64?96?128?160?192?224?255]。
Step 4, utilize the data message of step 3, extract the gamut boundary discrete point of rgb space from all characterization modeling datas, utilize 81 frontier points in each outer junction, the connected mode that adopts is, first every four adjacent frontier points are formed a square, the diagonal line that recycles 2 compositions in each square upper left corner and the lower right corner is divided into two triangles, and the cubical outer junction of RGB just produces 128 triangles like this, with reference to Fig. 2.
Step 5, description RGB colour gamut outward appearance
The triangle of cutting apart generation for 6 outer junctions of step 4 pair RGB cube, they are carried out color filling, during to each triangle Fill Color, the information on three summits leg-of-mutton according to each, carry out color filling in rgb space, its color value adopts following formula to represent:
T
i＝(A
i+B
i+C
i)/3，
Wherein i represents Color Channel R, G or the B on summit, the color value of Ti for needing to fill, and A, B, C are leg-of-mutton three summits, and all triangles are sealed filling, obtain RGB cube colour gamut outward appearance as shown in Figure 3.
Step 6, the RGB cube gamut boundary point that utilizes step 4 to extract, search in the measurement data of step 2 storage, find out corresponding CIELAB value, the discrete form of these frontier points is described in the CIELAB space, then according to 128 triangular construction orders in 6 outer junctions in the RGB cube, each outer junction, convert the rgb value of all triangular apex to measure acquisition CIELAB value, in the CIELAB space, all triangles are sealed paster, obtain the colour gamut outward appearance, see Fig. 4.
Three-dimensional gamut contour description method of the present invention, by extracting the gamut boundary point of this equipment in the RGB color space, recycling mensuration or color space transformation algorithm calculate the CIELAB value of these frontier points, then connect in the CIELAB color space and seal, three-dimensional colour gamut continuously in acquisition standard colorimetric space.
Claims (2)
1. a three-dimensional gamut contour description method, is characterized in that, implements according to following steps:
Step 1, setting electronics look target data
Adjust according to output and the Measuring Time of the required control of user, default setting is that R, G, B single channel evenly are divided into 9 grades, the discrete span that is the single channel motivation value is [0 32 64 96 128 160 192 224 255], if the driving range of signal of subscriber equipment is 0 ~ 1, above motivation value span is [0 32 64 96 128 160 192 224 255]/255, in the electronics look target of setting up, color lump RGB motivation value comprises 9 * 9 * 9=729 color lump altogether according to above span mixed gradient;
Environment setting around step 2, adjustment display
The setting colour temperature is 6500K, sets the Gamma value; After preheating, show all color lumps on the look target, with CIELAB value corresponding to spectrophotometer measurement, with rgb value and the CIELAB value corresponding stored of each color lump;
step 3, in the RGB color space, its colour gamut outward appearance is the cube structure of rule, need to select the data that are in the cube outside surface during extraction equipment gamut boundary from all sample points, adopt the look target data of acquiescence in step 1, extract the cubical boundary information of RGB, divergent boundary point colouring information for all 12 limits, in three passages, one of them passage color value is 0 ~ 255 gradual change, and two other passage all fixedly is in 0 or 255 extreme value state, so on 12 limits of extracting, every limit comprises 9 frontier points, corresponding rgb value is respectively:
L1：R=[0?32?64?96?128?160?192?224?255]；G=0；B=0，
L2：R=[0?32?64?96?128?160?192?224?255]；G=0；B=255，
L3：R=[0?32?64?96?128?160?192?224?255]；G=255；B=0，
L4：R=[0?32?64?96?128?160?192?224?255]；G=255；B=255，
L5：G=[0?32?64?96?128?160?192?224?255]；R=0；B=0，
L6：G=[0?32?64?96?128?160?192?224?255]；R=0；B=255，
L7：G=[0?32?64?96?128?160?192?224?255]；R=255；B=0，
L8：G=[0?32?64?96?128?160?192?224?255]；R=255；B=255，
L9：B=[0?32?64?96?128?160?192?224?255]；G=0；R=0，
L10：B=[0?32?64?96?128?160?192?224?255]；G=0；R=255，
L11：B=[0?32?64?96?128?160?192?224?255]；G=255；R=0，
L12：B=[0?32?64?96?128?160?192?224?255]；G=255；R=255，
In addition, the RGB colour gamut comprises 6 outer junctions, in the frontier point information in these 6 outer junctions, all that a channel value is in extreme value, two other channel value gradual change, so in 6 outer junctions, each outer junction all includes 81 frontier points, the rgb value of 6 outer junctions is respectively:
F1：R=0；G=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F2：R=255；G=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F3：G=0；R=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F4：G=255；R=[0?32?64?96?128?160?192?224?255]；B=[0?32?64?96?128?160?192?224?255]，
F5：B=0；G=[0?32?64?96?128?160?192?224?255]；R=[0?32?64?96?128?160?192?224?255]，
F6：B=255；G=[0?32?64?96?128?160?192?224?255]；R=[0?32?64?96?128?160?192?224?255]；
Step 4, utilize the data message of step 3, extract the gamut boundary discrete point of rgb space from all characterization modeling datas, utilize 81 frontier points in each outer junction, first every four adjacent frontier points are formed a square, the diagonal line that recycles 2 compositions in each square upper left corner and the lower right corner is divided into two triangles, and the cubical outer junction of RGB produces 128 triangles altogether like this;
Step 5, description RGB colour gamut outward appearance
The triangle of cutting apart generation for 6 outer junctions of step 4 pair RGB cube, they are carried out color filling, during to each triangle Fill Color, the information on three summits leg-of-mutton according to each, carry out color filling in rgb space, its color value represents with following formula:
T
i＝(A
i+B
i+C
i)/3，
Wherein i represents Color Channel R, G or the B on summit, the color value of Ti for needing to fill, and A, B, C are leg-of-mutton three summits, and all triangles are sealed filling, obtain RGB cube colour gamut outward appearance;
Step 6, the RGB cube gamut boundary point that utilizes step 4 to extract, search in the measurement data of step 2 storage, find out corresponding CIELAB value, the discrete form of these frontier points is described in the CIELAB space, then according to 128 triangular construction orders in 6 outer junctions in the RGB cube, each outer junction, convert the rgb value of all triangular apex to measure acquisition CIELAB value, in the CIELAB space, all triangles are sealed paster, obtain the colour gamut outside drawing.
2. three-dimensional gamut contour description method according to claim 1, is characterized in that, in described step 2, when setting the Gamma value, system is 1.8 for apple, is 2.2 for PC.
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| CN104219512A (en) * | 2014-09-30 | 2014-12-17 | 曲阜师范大学 | Method for describing color gamut boundary of display device |
| CN104702815A (en) * | 2015-03-26 | 2015-06-10 | 智川 | Method for visualizing color gamut of color output device |
| CN105654455A (en) * | 2014-11-11 | 2016-06-08 | 曲阜师范大学 | 'Image-to-device' color gamut mapping algorithm |
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| CN105654455A (en) * | 2014-11-11 | 2016-06-08 | 曲阜师范大学 | 'Image-to-device' color gamut mapping algorithm |
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Application publication date: 20130515 |