CN106296751A - The color processing method that a kind of view-based access control model is experienced - Google Patents
The color processing method that a kind of view-based access control model is experienced Download PDFInfo
- Publication number
- CN106296751A CN106296751A CN201610677181.0A CN201610677181A CN106296751A CN 106296751 A CN106296751 A CN 106296751A CN 201610677181 A CN201610677181 A CN 201610677181A CN 106296751 A CN106296751 A CN 106296751A
- Authority
- CN
- China
- Prior art keywords
- max
- hsw
- hns
- hls
- hms
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Facsimile Image Signal Circuits (AREA)
- Image Processing (AREA)
- Color Image Communication Systems (AREA)
Abstract
The present invention relates to the color processing method that a kind of view-based access control model is experienced, thus method sets up HSW model, and proposes conversion method.It is different from the colour models such as common HSL, HSV, HSB, HSI, HSW definition brightness W=(RL+GM+BN)/D/ (L+M+N)；Colourity S=(Max Min)/D；Wherein, R, G, B are rgb format data；Max is maximum in R, G, B；Min is minima in R, G, B；L, M, N are coefficient, can determine by physical condition experiment；D is R, G, B span maximum.Understanding based on experiment effect, the color processing method of the present invention significantly improves form and aspect, colourity, luminance parameter and the matching degree of visual experience, has bigger value in image procossing.
Description
Technical field
The invention belongs to Computer Image Processing field, the color processing method that a kind of view-based access control model is experienced.
Background technology
Color is the eyes impression for the light of different frequency of people, and color is objectively, is again subjective perception,
It is recognized difference.In other words, color is that the eyes of people are for different frequency, the impression of the light of varying strength.
The visual experience attribute of color common are form and aspect, colourity, brightness etc..Its definition has multiple, and intension is roughly the same.
Form and aspect are also referred to as tone, are the basic features distinguishing various different colors.Any black, white, grey beyond color have
The attribute of form and aspect.
Colourity is also referred to as color saturation, purity, is the purity of color, and purity is the highest, shows the distinctest, and purity is relatively low, table
The dulllest.
Brightness is also referred to as lightness, refers to depth degree in color, bright-dark degree.White brightness is the highest, and black brightness is minimum.Pure color
In, yellow brightness is the highest, blue brightness is minimum.
The description method of color can use various colour model.Colour model also color call model, color space, color
Space, is the abstract mathematical model using one group of numerical value to describe the method representing color.Common colour model has multiple, as RGB,
HSV, HSL, HSB, HSI, CMYK, YUV, Lab, Ycc, XYZ etc..
RGB is the most frequently used colour model.It is various that rgb color model mixes generation in varing proportions with 3 kinds of end member primary colours
Color.Computer raster graphic display device uses this model.R, G, B span is different, typically according to resolution difference
R, G, B span is 0～255.The colour models such as HSL, HSV, HSB, HSI are substantially all and describe color with form and aspect, colourity, brightness
Color.
Computer picture initial data is generally rgb format data, when carrying out the image procossing about visual experience, past
Toward needing to be converted to RGB data form and aspect, colourity, brightness data.But, the colour model such as HSL, HSV, HSB, HSI have with
Lower two features, or one of them, do not meet the visual experience of people.
Such as: existing brightness calculation method, it may appear that the brightness of different pure colors identical etc. phenomenon, and similar existing
As.In visual experience, the brightness of different pure colors differs.As, the brightness of pure blue is less than true yellow, pure green.
For another example: existing chrominance distortion method, it may appear that with the phenomenon that form and aspect pure color is identical with the colourity of ninsolid color, and
Similar phenomenon.In visual experience, containing the color of white content, its colourity can not be equal to pure color.Such as, very dark dark red
The colourity of color RGB (9,0,0) is less than pure red RGB (255,0,0).
Summary of the invention
It is an object of the invention to provide the color processing method that a kind of view-based access control model is experienced, in order to solve existing colour model
Brightness and colourity process the problem big with the visual experience difference of people.
For achieving the above object, the solution of the present invention includes:
The color processing method that a kind of view-based access control model is experienced, step is as follows: obtain the digital picture of rgb format；To RGB lattice
Formula data process: brightness W=(RL+GM+BN)/D/ (L+M+N)；Colourity S=(Max-Min)/D；Wherein, R, G, B are RGB
Formatted data；Max is maximum in R, G, B；Min is minima in R, G, B；L, M, N are coefficient；D be R, G, B span
Big value.
Further, the calculation of form and aspect H is: if R is maximum, then H=0+ (G-B)/(Max-Min)；If G is
Greatly, then H=2+ (B-R)/(Max-Min)；If B is maximum, then H=4+ (R-G)/(Max-Min)；Then H is expanded 60 times, and
And judge that current H-number, whether less than zero, if being less than zero, being added 360 and obtaining new H-number by H.
Further, the process processed rgb format data is:
If R=Max Then H=0+ (G-B)/(Max-Min)
If G=Max Then H=2+ (B-R)/(Max-Min)
If B=Max Then H=4+ (R-G)/(Max-Min)
H=60H
If H < 0Then H=H+360
S=(Max-Min)/D
W=(RL+GM+BN)/D/ (L+M+N)
Thus obtain HSW formatted data；
HSW formatted data is treated journey is:
W=W (L+M+N)
H=H/60
IF 0≤H < 1
R=(-HMS+MS+NS+W)
G=(HLS+HNS-LS+W)
B=(-HMS-LS+W)
IF 1≤H < 2
R=(-HMS-HNS+2MS-MS+2NS+W)
G=(HLS-2LS+LS+NS+W)
B=(HLS-2LS-MS+W)
IF 2≤H < 3
R=(-HNS-MS+2NS+W)
G=(-HNS+LS+2NS+NS+W)
B=(HLS+HMS-2LS-2MS-MS+W) IF 3≤H < 4
R=(HMS-4MS-NS+W)
G=(-HLS-HNS+4LS+4NS-NS+W) B=(HMS+LS-4MS+MS+W)
IF 4≤H < 5
R=(HMS+HNS-4MS-4NS-NS+W)
G=(-HLS+4LS-NS+W)
B=(-HLS+4LS+LS+MS+W)
IF 5≤H < 6
R=(HNS+MS-6NS+NS+W)
G=(HNS-LS-6NS+W)
B=(-HLS-HMS+6LS-LS+6MS+W)
R=RD/ (L+M+N)
G=GD/ (L+M+N)
B=BD/ (L+M+N)
Thus obtain rgb format data.
Further, described coefficient L, M, N take 38.4,76.8,12.8 respectively.
Understanding based on experiment effect, the color processing method of the present invention significantly improves form and aspect, colourity, luminance parameter and regards
The matching degree that feel is experienced, has bigger value in image procossing.
Accompanying drawing explanation
Fig. 1 is HSW isochrome phase sectional drawing；
Fig. 2 is the colourity sectional drawings such as HSW；
Fig. 3 is the brightness sectional drawings such as HSW；
Fig. 4 is HSL and HSW brightness transition design sketch；
Fig. 5 is the brightness extracted region figure more than 50% in Fig. 4 sample graph；
Fig. 6 is HSL and HSW chroma conversion design sketch；
Fig. 7 is HSL and HSW brightness transition figure；
Fig. 8 is HSL and HSW chroma conversion figure.
Detailed description of the invention
The present invention will be further described in detail below in conjunction with the accompanying drawings.
The present invention gives a kind of new colour model, is defined as HSW model, with colors such as HSL, HSV, HSB, HSI
Model is similar, and HSW colour model does certain conversion RGB data, make the data after conversion closer to visual experience form and aspect,
Colourity, brightness.
Obtaining after computer rgb format data, RGB data processed that to obtain the function of HSW model as follows:
Function RGBtoHSW
If R=Max Then H=0+ (G-B)/(Max-Min)
If G=Max Then H=2+ (B-R)/(Max-Min)
If B=Max Then H=4+ (R-G)/(Max-Min)
H=60H
If H < 0Then H=H+360
S=(Max-Min)/D
W=(RL+GM+BN)/D/ (L+M+N)
END RGBtoHSW
Accordingly, HSW model is as follows to RGB conversion:
Function HSWtoRGB
W=W (L+M+N)
H=H/60
IF 0≤H < 1
R=(-HMS+MS+NS+W)
G=(HLS+HNS-LS+W)
B=(-HMS-LS+W)
IF 1≤H < 2
R=(-HMS-HNS+2MS-MS+2NS+W)
G=(HLS-2LS+LS+NS+W)
B=(HLS-2LS-MS+W)
IF 2≤H < 3
R=(-HNS-MS+2NS+W)
G=(-HNS+LS+2NS+NS+W)
B=(HLS+HMS-2LS-2MS-MS+W)
IF 3≤H < 4
R=(HMS-4MS-NS+W)
G=(-HLS-HNS+4LS+4NS-NS+W)
B=(HMS+LS-4MS+MS+W)
IF 4≤H < 5
R=(HMS+HNS-4MS-4NS-NS+W)
G=(-HLS+4LS-NS+W)
B=(-HLS+4LS+LS+MS+W)
IF 5≤H < 6
R=(HNS+MS-6NS+NS+W)
G=(HNS-LS-6NS+W)
B=(-HLS-HMS+6LS-LS+6MS+W)
R=RD/ (L+M+N)
G=GD/ (L+M+N)
B=BD/ (L+M+N)
END HSWtoRGB
Wherein, R, G, B are rgb format data；H, S, W are HSW color description method form and aspect H, colourity S, brightness W；Max is
Maximum in R, G, B；Min is minima in R, G, B；L, M, N are coefficient.D is R, G, B span maximum, typically takes
255, can adjust according to practical situation；H, S, W span is 0≤H < 360,0≤S≤1,0≤W≤1.
The present invention processes the mode of brightness: W=(RL+GM+BN)/D/ (L+M+N), and the mode processing colourity is S=
(Max-Min)/D。
About form and aspect H, its processing mode is identical with existing colour model, is not belonging to the improvement part of the present invention, therefore no longer
Explain.
Through several people, hundreds of pictures sample colourity, brightness evaluation experiment, sum up draw L, M, N take 38.4 respectively, 76.8,
12.8 is the selection scheme of a kind of optimization.When specifically applying, it is possible to adjust by physical condition experiment.
HSW colour model does not haves the phenomenon that the brightness of different pure colors is identical, and similar phenomenon；Do not have yet
With the phenomenon that form and aspect pure color is identical with the colourity of ninsolid color, and similar phenomenon.Thus solve the existence of existing colour model and ask
Topic so that color more meets the visual experience of people.
The effect of the experimental verification such scheme for being given from various different aspects below.
Fig. 1 is HSW isochrome phase sectional drawing.In figure, 6 sub-figure form and aspect H take 0,60,120,180,240,300 respectively.Each
The subgraph longitudinal axis is brightness W, and transverse axis is colourity S.On the right side of triangle, summit height is different, and embodying pure color has different brightness, with HSV
Different Deng colour model.Meeting the visual experience of people, in pure color, yellow brightness is the highest, blue brightness is minimum.
Fig. 2 is the colourity sectional drawings such as HSW.In figure 6 sub-figure colourity S take 0.00 respectively, 0.20,0.40,0.60,0.80,
0.96.Each subgraph longitudinal axis is brightness W, and transverse axis is form and aspect H.It will be seen that the brightness not occurred in the colour models such as HSV
Very dark or incandescent still has very high chroma etc. departing from the phenomenon of visual experience.
Fig. 3 is the brightness sectional drawings such as HSW.In figure 6 subgraph brightness W take 0.5 respectively, 0.20,0.40,0.60,0.80,
0.95.Circumference is form and aspect H, and radius is colourity S.It will be seen that the pure color not occurred in the colour models such as HSV has with white
Same brightness etc. are departing from the similar phenomenon of visual experience.
Fig. 4 is HSL and HSW brightness transition design sketch.In figure, left samples figure is a volcanic rocks thin slice polarized light microscopy
Mirror photo, rear two figures are respectively HSL, HSW luminance graph of sample graph conversion.It is apparent that HSW luminance graph can more preferable body
Existing artwork visual brightness feature.As, the luminance level relation at labelling a, b, c, can not show in HSL luminance graph, bright at HSW
In degree figure, then ratio is more visible.
Fig. 5 is the brightness extracted region figure more than 50% in Fig. 4 sample graph.Sample graph is extracted respectively with HSL, HSW brightness
The middle brightness region more than 50%, represents with white.It is apparent that the two difference is the biggest.This is by after to image procossing
Continuous work produces and has a strong impact on, and this difference can not be ignored.
Fig. 6 is HSL and HSW chroma conversion design sketch.Rear two figures are respectively HSL, HSW chromaticity diagram of sample graph conversion.District
Not relatively brightness is bigger.The chromaticity diagram of any method is more reasonable, can not find out intuitively.HSW color description method more connects
Near vision experience sense by the showing further of characteristic, compare and see Fig. 7.
Fig. 7 is HSL and HSW brightness transition figure.Sample graph is some uniform color lumps.Often row brightness is different, each column form and aspect
Different.Rear two figures are respectively HSL, HSW luminance graph of sample graph conversion.It is apparent that HSW luminance graph can more preferably embody
Artwork visual brightness feature.As, b row color lump is presented as close to identical brightness at e row, it is clear that be inappropriate；In h arranges then
There is well performance.
Fig. 8 is HSL and HSW chroma conversion figure.The same Fig. 7 of sample graph.Rear two figures are respectively HSL, HSW color of sample graph conversion
Degree figure.Colourity is also referred to as color saturation, purity, is the purity of color, and purity is the highest, shows the distinctest, and purity is relatively low, and performance is then
Dulller.Although a, b, c row form and aspect are identical, but colourity is visibly different.HSL colour model shows as same at d, e, f row
Colourity, it is clear that be inappropriate；HSW colour model shows as Lycoperdon polymorphum Vitt at g, i row, and h row show as white and reasonably embody a, c
It is listed in colourity and the gap of b row.
Analyzing more than in conjunction with and compare and understand, HSW color description method is at brightness, colourity two aspect, than other color mould
Type more meets the visual experience of people.
Claims (4)
1. the color processing method that a view-based access control model is experienced, it is characterised in that step is as follows:
Obtain the digital picture of rgb format；
Rgb format data are processed: brightness W=(RL+GM+BN)/D/ (L+M+N)；Colourity S=(Max-Min)/D；Its
In, R, G, B are rgb format data；Max is maximum in R, G, B；Min is minima in R, G, B；L, M, N are coefficient；D be R,
G, B span maximum.
The color processing method that a kind of view-based access control model the most according to claim 1 is experienced, it is characterised in that the meter of form and aspect H
Calculation mode is: if R is maximum, then H=0+ (G-B)/(Max-Min)；If G is maximum, then H=2+ (B-R)/(Max-Min)；As
Really B is maximum, then H=4+ (R-G)/(Max-Min)；Then H is expanded 60 times, and judge whether H is less than zero, if less than zero,
Current H-number is added 360 and obtains new H-number.
The color processing method that a kind of view-based access control model the most according to claim 2 is experienced, it is characterised in that to rgb format
The process that data carry out processing is:
If R=Max Then H=0+ (G-B)/(Max-Min)
If G=Max Then H=2+ (B-R)/(Max-Min)
If B=Max Then H=4+ (R-G)/(Max-Min)
H=60H
If H < 0Then H=H+360
S=(Max-Min)/D
W=(RL+GM+BN)/D/ (L+M+N)
Thus obtain HSW formatted data；
HSW formatted data is treated journey is:
W=W (L+M+N)
H=H/60
IF 0≤H < 1
R=(-HMS+MS+NS+W)
G=(HLS+HNS-LS+W)
B=(-HMS-LS+W)
IF 1≤H < 2
R=(-HMS-HNS+2MS-MS+2NS+W)
G=(HLS-2LS+LS+NS+W)
B=(HLS-2LS-MS+W)
IF 2≤H < 3
R=(-HNS-MS+2NS+W)
G=(-HNS+LS+2NS+NS+W)
B=(HLS+HMS-2LS-2MS-MS+W) IF 3≤H < 4
R=(HMS-4MS-NS+W)
G=(-HLS-HNS+4LS+4NS-NS+W)
B=(HMS+LS-4MS+MS+W)
IF 4≤H < 5
R=(HMS+HNS-4MS-4NS-NS+W)
G=(-HLS+4LS-NS+W)
B=(-HLS+4LS+LS+MS+W)
IF 5≤H < 6
R=(HNS+MS-6NS+NS+W)
G=(HNS-LS-6NS+W)
B=(-HLS-HMS+6LS-LS+6MS+W)
R=RD/ (L+M+N)
G=GD/ (L+M+N)
B=BD/ (L+M+N)
Thus obtain rgb format data.
The color processing method that a kind of view-based access control model the most according to claim 2 is experienced, described coefficient L, M, N take respectively
38.4、76.8、12.8。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610677181.0A CN106296751A (en) | 2016-08-16 | 2016-08-16 | The color processing method that a kind of view-based access control model is experienced |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610677181.0A CN106296751A (en) | 2016-08-16 | 2016-08-16 | The color processing method that a kind of view-based access control model is experienced |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106296751A true CN106296751A (en) | 2017-01-04 |
Family
ID=57678976
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610677181.0A Pending CN106296751A (en) | 2016-08-16 | 2016-08-16 | The color processing method that a kind of view-based access control model is experienced |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106296751A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112243491A (en) * | 2018-06-06 | 2021-01-19 | 地板技术有限公司 | Method for on-line quality control of decorative printing on carrier material |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101197917A (en) * | 2006-12-04 | 2008-06-11 | 胜华科技股份有限公司 | Image processing process |
| CN102117484A (en) * | 2009-12-31 | 2011-07-06 | 新谊整合科技股份有限公司 | Processing system, processing method and image classification method using image color information |
| CN103065334A (en) * | 2013-01-31 | 2013-04-24 | 金陵科技学院 | Color cast detection and correction method and device based on HSV (Hue, Saturation, Value) color space |
-
2016
- 2016-08-16 CN CN201610677181.0A patent/CN106296751A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101197917A (en) * | 2006-12-04 | 2008-06-11 | 胜华科技股份有限公司 | Image processing process |
| CN102117484A (en) * | 2009-12-31 | 2011-07-06 | 新谊整合科技股份有限公司 | Processing system, processing method and image classification method using image color information |
| CN103065334A (en) * | 2013-01-31 | 2013-04-24 | 金陵科技学院 | Color cast detection and correction method and device based on HSV (Hue, Saturation, Value) color space |
Non-Patent Citations (3)
| Title |
|---|
| CARL2380: "根据RGB计算亮度", 《HTTPS://BLOG.CSDN.NET/CARL2380/ARTICLE/DETAILS/5872720》 * |
| VIEWCODE: "从RGB到HSV颜色空间的理解", 《HTTPS://BLOG.CSDN.NET/VIEWCODE/ARTICLE/DETAILS/8203728》 * |
| 黄耀明: "《电脑绘图学》", 31 August 1976 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112243491A (en) * | 2018-06-06 | 2021-01-19 | 地板技术有限公司 | Method for on-line quality control of decorative printing on carrier material |
| CN112243491B (en) * | 2018-06-06 | 2022-04-12 | 地板技术有限公司 | Method and apparatus for on-line quality control of decorative printing on carrier material |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111191424B (en) | Page color matching method and device, storage medium and chip | |
| CN104636759B (en) | A kind of method and picture filter information recommendation system for obtaining picture and recommending filter information | |
| CN108846869B (en) | Automatic clothes color matching method based on natural image colors | |
| KR100843088B1 (en) | Apparatus and method for outputting wide color gamut space image | |
| CN102857674A (en) | Method for processing high dynamic range images using tone mapping to extended RGB space | |
| US20170118380A1 (en) | Luminous printing | |
| CN105451094B (en) | Subtitle color adjustment method and device | |
| US8982411B2 (en) | Image processing apparatus and method | |
| KR100679048B1 (en) | Method and apparatus for gamut mapping | |
| CN103618886A (en) | Shooting method for intelligently decoloring according to main color tone | |
| CN105493489A (en) | Gamut mapping systems and methods | |
| CN113132696A (en) | Image tone mapping method, device, electronic equipment and storage medium | |
| CN103559712B (en) | Black melon seed color selection method | |
| CN110780961B (en) | Method for adjusting character color of application interface, storage medium and terminal equipment | |
| Ganesan et al. | A comprehensive review of the impact of color space on image segmentation | |
| CN109102473B (en) | Method for improving color digital image quality | |
| CN106296751A (en) | The color processing method that a kind of view-based access control model is experienced | |
| CN103679658B (en) | A kind of image processing method according to the decolouring of dominant hue intelligence | |
| CN104639924A (en) | Method for reducing degree of dependence on device pixel to improve color value precision | |
| CN106599185A (en) | HSV-based image similarity identification method | |
| CN110490945B (en) | Image color adjusting method | |
| CN108876800B (en) | Information processing method and equipment | |
| CN105184746A (en) | Histogram equalization-based color image enhanced treatment method | |
| CN116703794B (en) | Multi-image fusion method in HSV color space | |
| CN104766301B (en) | A kind of monochromatic gathering algorithm based on image |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170104 |