CN107452042A - A kind of halftoning apparatus spectral characteristic model optimization method and system - Google Patents
A kind of halftoning apparatus spectral characteristic model optimization method and system Download PDFInfo
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Abstract
A kind of halftoning apparatus spectral characteristic model optimization method and system, can effectively realize the optimization of Cellular compartment form You Er Nelson's spectrum Nie Gebaier model characteristics flows, including prepare Forward modeling sample and measure its spectral reflectivity information；Full mass colour combination is built respectively and closes forward model without black ink colour cell；Forward model prediction contrast lightness threshold is closed using without black ink colour cell, and device color gamut is divided into high light, middle tone and shadow three parts；For any color spectrum reflectivity information to be copied, its corresponding lightness is asked for, and contrast its described is judged；For high light color, reverse color separation is carried out to closing forward model without black ink colour cell；For shadow color, reverse color separation is carried out to full mass colour combination forward model；For middle tone color, the reverse color separation of forward model progress is closed to full mass colour and without black ink colour cell respectively, and principle is turned to so that reverse model accuracy is optimal, it is determined that final color separation.
Description
Technical field
The invention belongs to halftone color reproduction technology field, and in particular to a kind of halftoning apparatus spectral characteristic model
Optimization method and system.
Background technology
Halftone color reproduction technology is the mainstream technology that current colors of image replicates field, and it passes through halftoning ink dot
Density arranges and overlapping, realizes the accurate duplication of color.In the art, it is color that halftoning apparatus, which characterizes model construction,
Key link in reproduction process, it substantially builds halftone color information to the biaxial stress structure model of equipment ink amount information.
Wherein, Forward modeling (i.e. Colours model) is referred to as by the modeling process of equipment ink amount information to halftone color information, by
The modeling process (i.e. the inversion process of forward model) of halftone color information to equipment ink amount information is referred to as reversely modeling (also known as
For colour separating model).
Halftoning apparatus chromatic characteristicization modeling based on spectrum, can overcome conventional chromaticity to characterize to greatest extent and build
The intrinsic metamerism problem of mold process, so as to realize higher levels of Color Replication, therefore it is grinding for presently relevant field
Study carefully focus.Wherein, in halftoning apparatus spectral characteristic research field, the spectrum of the You Er Nelsons amendment of Cellular compartment form
Nie Gebaier models (Cellular Yule-Nielsen spectral Neugebauer model, hereinafter referred to as CYNSN moulds
Type) it is the model I with degree of precision generally acknowledged at present, it is widely used in this area.
However, because the black ink for commonly using halftoning apparatus common configuration has stronger absorbing properties, cause
The shadow sample of CYNSN models is significantly more than high light sample, so cause bright area chromatic characteristic precision
The problem of relatively poor.Further, since in conventional four-color (blue or green, product, yellow, black, i.e. CMYK) halftoning apparatus, the colors of CMY tri- are folded
Print can equally cause grey or black sample, so kind equipment is when building the characterization flow based on CYNSN models, it is above-mentioned bright
Adjust error problem more notable.
At this stage, restricted by subjective and objective factors such as theoretical method levels, the characterization for being currently based on CYNSN models is ground
Study carefully field (containing all kinds of Optimized models), above-mentioned high light characterizes the problem of precision is relatively low also generally existing.
The content of the invention
The invention aims to solve problem described in background technology, a kind of half color towards CYNSN models is proposed
Adjust equipment spectral characteristic model optimization method and system.
The technical scheme is that provide a kind of halftoning apparatus spectral characteristic model optimization towards CYNSN models
Method, comprise the following steps：
Step 1, sampled in halftoning apparatus color space, and prepare halftone color sample；
Step 2, using color measuring apparatus, each sample spectral reflectivity information in obtaining step 1 is measured；
Step 3, based on measurement gained sample spectrum reflectivity data in step 2, for half color that mass colour quantity is n
Adjusting system structure CYNSN models Fn；
Step 4, based on measurement gained sample spectrum reflectivity data in step 2, for mass colour quantity is n-1 half
Color Shade System structure CYNSN models Fn-1, the mass colour quantity is that n-1 halftone system is free of black ink；
Step 5, the F constructed by step 4 is utilizedn-1Model prediction high light and middle tone distinguish threshold value Llm, middle tone and shadow
Distinguish threshold value Lmd, halftoning apparatus colour gamut is divided into high light, middle tone and shadow three parts；
Step 6, for any color to be copied, its color spectrum reflectivity information is converted to CIELAB color spaces,
And obtain its lightness information L；
Step 7, contrast judgement is carried out to color to be copied according to lightness information L described in step 6, and determines final point
Color.
Moreover, in the step 5, using mass colour quantity as n-1 halftone system in each black value be 30 the device space
Point is that high light and middle tone distinguish threshold value L in the brightness value corresponding to CIELAB color spaceslm, half using mass colour quantity as n-1
The device space point that each black value is 70 in Color Shade System is middle tone and dark in the brightness value corresponding to CIELAB color spaces
Adjust and distinguish threshold value Lmd。
Moreover, the implementation of the step 7 is as follows,
If L>Llm, color to be copied belongs to bright area, using Fn-1Model carries out reverse color separation；If L<Lmd, it is to be copied
Color belongs to shadow region, using FnModel carries out reverse color separation；If Lmd<L<Llm, color to be copied belongs to middle tone region, together
Shi Caiyong FnModel and Fn-1Model carries out reverse color separation, and turns to principle so that reverse Color separating accuracy is optimal, it is determined that final color separation
Value.
Moreover, the color measuring apparatus in the step 2 is spectrophotometer.
The present invention also provides a kind of halftoning apparatus spectral characteristic model optimization system towards CYNSN models, including
With lower module：
Halftoning sample preparation module, for being sampled in halftoning apparatus color space, and prepare halftoning color
Color sample；
Color measuring module, for obtaining each sample in halftoning sample preparation module using color measuring apparatus, measurement
Spectral reflectivity information；
Full mass colour Forward modeling module, for measure gained sample spectrum reflectivity data in color measuring module as base
Plinth, CYNSN models F is built for the halftone system that mass colour quantity is nn；
Non-black mass colour Forward modeling module, for measurement gained sample spectrum reflectivity data in color measuring module
Based on, build CYNSN models F for the halftone system that mass colour quantity is n-1n-1, the mass colour quantity is n-1 half color
Adjusting system is free of black ink；
Contrast division module, for utilizing the F constructed by non-black Forward modeling modulen-1Model prediction high light and centre
Adjust and distinguish threshold value Llm, middle tone and shadow distinguish threshold value Lmd, halftoning apparatus colour gamut is divided into high light, middle tone and shadow
Three parts；
Color conversion module, for for any color to be copied, by its color spectrum reflectivity information convert to
CIELAB color spaces, and obtain its lightness information L；
Final color separation module, for carrying out contrast to color to be copied according to lightness information L described in color conversion module
Judge, and determine final color separation.
Moreover, in the contrast division module, using mass colour quantity as n-1 halftone system in each black value be 30 to set
Standby spatial point is that high light and middle tone distinguish threshold value L in the brightness value corresponding to CIELAB color spaceslm, using mass colour quantity as n-
The device space point that each black value is 70 in 1 halftone system is middle tone in the brightness value corresponding to CIELAB color spaces
And shadow distinguishes threshold value Lmd。
Moreover, in the final color separation module, if L>Llm, color to be copied belongs to bright area, using Fn-1Model is carried out
Reverse color separation；If L<Lmd, color to be copied belongs to shadow region, using FnModel carries out reverse color separation；If Lmd<L<Llm, treat multiple
Color processed belongs to middle tone region, while uses FnModel and Fn-1Model carries out reverse color separation, and with reverse Color separating accuracy most
Principle is optimized for, it is determined that final color separation value.
Moreover, the color measuring apparatus in the color measuring module is spectrophotometer.
Compared with prior art, beneficial effects of the present invention are as follows：
A kind of halftoning apparatus spectral characteristic model optimization technical scheme proposed by the present invention, to optimize CYNSN models
For the purpose of characterizing flow bright area precision, individually built using non-black mass colour system and characterize model as means, need not
Under conditions of extra samples sample, the overall lifting of CYNSN model characteristics precision is effectively realized, and it is easy to implement, half
Tinge reproduction technology field has stronger applicability.Because technical solution of the present invention has important application meaning, by
Multiple project supports：1. the Wuhan City youth morning twilight talent of project of national nature science fund project 61505149,2. plans
2016070204010111,3. Hubei Province Nsfc Projects 2015CFB204,4 Shenzhen's basic research projects
JCYJ20150422150029093.Technical solution of the present invention is protected, China's relevant industries will be competed leading in the worldly
Position is significant.
Brief description of the drawings
Fig. 1 is the flow chart of the embodiment of the present invention.
Embodiment
With reference to accompanying drawing, there is provided the embodiment of the present invention is described in detail below.
A kind of halftoning apparatus spectral characteristic model optimization technical scheme that embodiment as shown in Figure 1 provides, with optimization
For the purpose of CYNSN model characteristics flow bright area precision, individually built using non-black mass colour system and characterize model as hand
Section, effectively realize the overall lifting of CYNSN model characteristics precision.The method it is ideal solve background section
Described problem, so as to improve the characterization precision of halftoning apparatus, and then ensure the color of halftone color replicated product
Quality, and it is easy to implement, there is stronger applicability.
Exemplified by embodiment is using the color ink-jet printers of certain brand CMYK tetra- and certain brand ink-jet printing media, to the present invention
A kind of halftoning apparatus spectral characteristic model optimization technical scheme referred to is introduced.It should be noted that the present invention is simultaneously
Equipment mentioned by the studies above and paper media are not limited to, it is equally applicable for other equipment and medium, this method.
Technical solution of the present invention can be realized automatically when being embodied by those skilled in the art using computer software technology
Operation.The method flow that embodiment provides comprises the following steps：
1) sampled in halftoning apparatus color space, and prepare halftone color sample.
Embodiment carries out 5 grades of uniform samplings to each color dimensions of the colour spaces of CMYK tetra-, i.e., and monochromatic black value scope is 0-
100,0,25,50,75,100 are taken, can so collect 5 × 5 × 5 × 5=625 color color lump sample as CYNSN models
Modeling sample, then, prepare each 11 grades of step-wedges (0,10,20,30,40...100) of mass colour of CMYK, for building dot gain
Curve.442 random coloration samples are prepared, for training neutral net, and then build BPn-CYNSN models.The model is this
One of area research CYNSN Optimized models the most advanced, are prior art, detail can be found in bibliography：
Liu Q,Wan X,Xie D.Optimization of spectral printer modeling based on
a modified cellular Yule Nielsen spectral Neugebauer model.J Opt Soc Am
A.2014；31(6):1284-94.
2) using color measuring apparatus such as spectrophotometers, each sample spectral reflectivity information 1) measurement obtains in.
Embodiment uses certain brand automatically scanning formula spectrophotometer, and it is individual to amount to 1111 (625+442+4*11) in measurement 1)
The spectral reflectivity information of sample.
3) based on measuring gained sample spectrum reflectivity data in 2), for the halftone system that mass colour quantity is n
Build CYNSN models Fn。
Embodiment in 2) based on measuring gained color spectrum reflectivity data, for the color models of CMYK tetra-, structure
BPn-CYNSN models (are Fn).The model is that one of CYNSN Optimized models the most advanced are studied in this area, is existing skill
Art, detail can be found in bibliography：
Liu Q,Wan X,Xie D.Optimization of spectral printer modeling based on
a modified cellular Yule Nielsen spectral Neugebauer model.J Opt Soc Am
A.2014；31(6):1284-94.
4) it is that n-1 (is free of black ink for mass colour quantity based on measuring gained sample spectrum reflectivity data in 2)
Water) halftone system structure CYNSN models Fn-1, the mass colour quantity is that n-1 halftone system is free of black ink；
1) embodiment is chosen in 1111 samples, all K=0 sample point, CYNSN models are built.Wherein, build herein
Apperance sheet includes 11 grades of step-wedges (0,10,20,30,40...100) of each mass colours of CMY and 5 × 5 × 5=125, CMY spaces color
Color lump sample.With reference to spectral information of the above-mentioned sample obtained in 2), structure CYNSN models (i.e. Fn-1Model).Wherein,
CYNSN model constructions are prior art, reference can be made to bibliography：
Wang B,Xu H,Luo MR,Guo J.Spectral-based color separation method for a
multi-ink printer.Chinese Optics Letters.2011；9(6):063301.
Liu Q,Wan X,Xie D.Optimization of spectral printer modeling based on
a modified cellular Yule Nielsen spectral Neugebauer model.J Opt Soc Am
A.2014；31(6):1284-94.
5) F constructed by 4) is utilizedn-1Model prediction high light and middle tone distinguish threshold value Llm, middle tone and shadow distinguish threshold
Value Lmd, halftoning apparatus colour gamut is divided into high light, middle tone and shadow three parts, wherein, (be free of using mass colour quantity as n-1
Black ink) halftone system in each black value be 30 device space point in CIELAB color spaces (D50/2 colourity bars
Part) corresponding to brightness value distinguish threshold value L for high light and middle tonelm, half color using mass colour quantity as n-1 (being free of black ink)
The device space point that each black value is 70 in adjusting system is in the brightness value corresponding to CIELAB color spaces (D50/2 chrominance requirements)
Threshold value L is distinguished for middle tone and shadowmd。
Embodiment is with the F constructed by 4)n-1Model prediction contrast threshold value Llm, Lmd, by Fn-1Prediction understands (C=30, M=
30, Y=30, K=0) sample point corresponds to spectral information in the brightness value corresponding to CIELAB color spaces (D50/2 chrominance requirements)
Llm=59, (C=70, M=70, Y=70, K=0) sample point corresponds to spectral information in CIELAB color spaces (D50/2 colourity bars
Part) corresponding to brightness value Lmd=39, above-mentioned is contrast division threshold value in embodiment.
6) for any color spectrum reflectivity information to be copied, its color is believed first with color science fundamental formular
Breath conversion obtains its lightness information L to CIELAB color spaces (D50/2 chrominance requirements)；
Embodiment respectively generates 50 sample points in CMYK and CMY spaces at random and prepares its color sample, and with this 100
Color sample is sample to be copied, and method proposed by the invention is tested.Wherein, by spectral reflectivity information convert to
CIELAB color spaces (D50/2 chrominance requirements), and it is prior art to obtain its lightness information, be for details, reference can be made to：
Schanda J.CIE colorimetry:Wiley Online Library；2007.
7) contrast judgement is carried out to color to be copied according to lightness information L described in 6), and determines final color separation.Wherein,
If L>Llm, i.e., color to be copied belongs to bright area, then using Fn-1Model carries out reverse color separation；If L<Lmd, i.e., color to be copied
Coloured silk belongs to shadow region, then using FnModel carries out reverse color separation；If Lmd<L<Llm, i.e., color to be copied belongs to middle tone region,
Then use F simultaneouslynModel and Fn-1Model carries out reverse color separation, and turns to principle so that reverse Color separating accuracy is optimal, it is determined that
Final color separation value.
In embodiment, for 100 color samples 6) referred to, if L>59, i.e., color information to be copied belongs to high light area
Domain, then using Fn-1Model (the color CYNSN models of CMY tri-) carries out reverse color separation；If L<39, i.e., color information to be copied belongs to dark
Region is adjusted, then using FnModel ((the color BPn-CYNSN models of CMYK tetra-)) carries out reverse color separation；If 39<L<59, i.e., color to be copied
Multimedia message belongs to middle tone region, then uses F simultaneouslynModel and Fn-1Model carries out reverse color separation, and with reverse color separation
Precision is optimal to turn to principle, selects final color separation value.Wherein, reverse Color separating accuracy is existing concept, and its implication is reversely to divide
The mistake that color ink value is brought between forward model prediction gained spectral reflectivity information and actual spectral reflectivity information to be copied
Difference, it for details, reference can be made to document：
Wang B,Xu H,Luo MR,Guo J.Spectral-based color separation method for a
multi-ink printer.Chinese Optics Letters.2011；9(6):063301.
Liu Q,Wan X,Xie D.Optimization of spectral printer modeling based on
a modified cellular Yule Nielsen spectral Neugebauer model.J Opt Soc Am
A.2014；31(6):1284-94.
Experiments verify that for 100 color samples 6) referred to, the characterization model built based on the present invention, its is bright
Adjust precision be:(under identical modeling sample quantity, traditional CYNSN characterizes model essence by RMS=0.009, CIEDE2000=0.96
Spend for RMS=0.017, CIEDE2000=1.48)；Tune precision is among it：RMS=0.008, CIEDE2000=0.83 (phase
With under modeling sample quantity, it is RMS=0.008, CIEDE2000=0.96 that traditional CYNSN, which characterizes model accuracy)；Its shadow
Precision is：RMS=0.004, CIEDE2000=0.69 are (because traditional CYNSN model characteristicsization have ideal shadow
Precision, the present invention do not optimize to this region).
As can be seen here, the present invention is optimizing light characteristic precision aspect, has preferable effect.In addition it should be pointed out that
, why the present invention takes F in middle tonenModel and Fn-1The method of model color separation optimizing, is in order to avoid due to not
The problem of being jumped with contrast Near Threshold contrast caused by model color separation characteristic difference.
The present invention also provides a kind of halftoning apparatus spectral characteristic model optimization system towards CYNSN models, including
With lower module：
Halftoning sample preparation module, for being sampled in halftoning apparatus color space, and prepare halftoning color
Color sample；
Color measuring module, for obtaining halftoning sample preparation using the color measuring apparatus such as spectrophotometer, measurement
Each sample spectral reflectivity information in module；
Full mass colour Forward modeling module, for measure gained color spectrum reflectivity data in color measuring module as base
Plinth, CYNSN models F is built for the halftone system that mass colour quantity is nn；
Non-black mass colour Forward modeling module, for measurement gained color spectrum reflectivity data in color measuring module
Based on, build CYNSN models F for the halftone system that mass colour quantity is n-1 (being free of black ink)n-1, the mass colour number
Measure and be free of black ink for n-1 halftone system；
Contrast division module, for utilizing the F constructed by non-black Forward modeling modulen-1Model prediction high light and centre
Adjust and distinguish threshold value Llm, middle tone and shadow distinguish threshold value Lmd, halftoning apparatus colour gamut is divided into high light, middle tone and shadow
Three parts；
Color conversion module, it is substantially public using color science for for any color spectrum reflectivity information to be copied
Formula converts its color information to CIELAB color spaces (D50/2 chrominance requirements), and obtains its lightness information L；
Final color separation module, for carrying out contrast to color to be copied according to lightness information L described in color conversion module
Judge, and determine final color separation.
Wherein, in contrast division module, each ink amount in the halftone system using mass colour quantity as n-1 (being free of black ink)
Be worth for 30 device space point in the brightness value corresponding to CIELAB color spaces (D50/2 chrominance requirements) be high light and middle tone
Distinguish threshold value Llm, each black value is 70 in the halftone system using mass colour quantity as n-1 (being free of black ink) the device space
Point is that middle tone and shadow distinguish threshold value L in the brightness value corresponding to CIELAB color spaces (D50/2 chrominance requirements)md。
Wherein, in final color separation module, if L>Llm, i.e., color information to be copied belongs to bright area, then using Fn-1Model
Carry out reverse color separation；If L<Lmd, i.e., color information to be copied belongs to shadow region, then using FnModel carries out reverse color separation；If
Lmd<L<Llm, i.e., color information to be copied belongs to middle tone region, then uses F simultaneouslynModel and Fn-1Model carries out anti-
Principle is turned to color separation, and so that reverse Color separating accuracy is optimal, it is determined that final color separation value.
Each module specific implementation is corresponding with each step, and it will not go into details by the present invention.
Specific embodiment described herein is only to spirit explanation for example of the invention.Technology belonging to the present invention is led
The technical staff in domain can be made various modifications or supplement to described specific embodiment or be replaced using similar mode
Generation, but without departing from the spiritual of the present invention or surmount scope defined in appended claims.
Claims (8)
- A kind of 1. halftoning apparatus spectral characteristic model optimization method, it is characterised in that comprise the following steps：Step 1, sampled in halftoning apparatus color space, and prepare halftone color sample；Step 2, using color measuring apparatus, each sample spectral reflectivity information in obtaining step 1 is measured；Step 3, based on measurement gained sample spectrum reflectivity data in step 2, for the halftoning system that mass colour quantity is n System structure CYNSN models Fn；Step 4, based on measurement gained sample spectrum reflectivity data in step 2, for the halftoning that mass colour quantity is n-1 System constructing CYNSN models Fn-1, the mass colour quantity is that n-1 halftone system is free of black ink；Step 5, the F constructed by step 4 is utilizedn-1Model prediction high light and middle tone distinguish threshold value Llm, middle tone and shadow distinguish Threshold value Lmd, halftoning apparatus colour gamut is divided into high light, middle tone and shadow three parts；Step 6, for any color to be copied, its color spectrum reflectivity information is converted to CIELAB color spaces, and is obtained Obtain its lightness information L；Step 7, contrast judgement is carried out to color to be copied according to lightness information L described in step 6, and determines final color separation.
- A kind of 2. halftoning apparatus spectral characteristic model optimization method according to claim 1, it is characterised in that：In the step 5, using mass colour quantity as n-1 halftone system in each black value be 30 device space point in CIELAB Brightness value corresponding to color space distinguishes threshold value L for high light and middle tonelm, using mass colour quantity as in n-1 halftone system The device space point that each black value is 70 is that middle tone and shadow distinguish threshold value in the brightness value corresponding to CIELAB color spaces Lmd。
- A kind of 3. halftoning apparatus spectral characteristic model optimization method according to claim 1 or 2, it is characterised in that： The implementation of the step 7 is as follows,If L>Llm, color to be copied belongs to bright area, using Fn-1Model carries out reverse color separation；If L<Lmd, color category to be copied In shadow region, using FnModel carries out reverse color separation；If Lmd<L<Llm, color to be copied belongs to middle tone region, uses simultaneously FnModel and Fn-1Model carries out reverse color separation, and turns to principle so that reverse Color separating accuracy is optimal, it is determined that final color separation value.
- A kind of 4. halftoning apparatus spectral characteristic model optimization method according to claim 3, it is characterised in that：It is described Color measuring apparatus in step 2 is spectrophotometer.
- 5. a kind of halftoning apparatus spectral characteristic model optimization system, it is characterised in that including with lower module：Halftoning sample preparation module, for being sampled in halftoning apparatus color space, and prepare halftone color sample This；Color measuring module, for obtaining each sample spectrum in halftoning sample preparation module using color measuring apparatus, measurement Reflectivity information；Full mass colour Forward modeling module, for based on measurement gained sample spectrum reflectivity data in color measuring module, CYNSN models F is built for the halftone system that mass colour quantity is nn；Non-black mass colour Forward modeling module, for measure gained sample spectrum reflectivity data in color measuring module as base Plinth, CYNSN models F is built for the halftone system that mass colour quantity is n-1n-1, the mass colour quantity is n-1 halftoning system System is free of black ink；Contrast division module, for utilizing the F constructed by non-black Forward modeling modulen-1Model prediction high light and middle tone area Divide threshold value Llm, middle tone and shadow distinguish threshold value Lmd, halftoning apparatus colour gamut is divided into high light, middle tone and shadow three Point；Color conversion module, for for any color to be copied, its color spectrum reflectivity information to be converted to CIELAB face The colour space, and obtain its lightness information L；Final color separation module, for carrying out contrast judgement to color to be copied according to lightness information L described in color conversion module, And determine final color separation.
- A kind of 6. halftoning apparatus spectral characteristic model optimization system according to claim 5, it is characterised in that：In the contrast division module, using mass colour quantity as n-1 halftone system in each black value be 30 device space point It is that high light and middle tone distinguish threshold value L in the brightness value corresponding to CIELAB color spaceslm, half color using mass colour quantity as n-1 The device space point that each black value is 70 in adjusting system is middle tone and shadow in the brightness value corresponding to CIELAB color spaces Distinguish threshold value Lmd。
- A kind of 7. halftoning apparatus spectral characteristic model optimization system according to claim 5 or 6, it is characterised in that：In the final color separation module, if L>Llm, color to be copied belongs to bright area, using Fn-1Model carries out reverse color separation； If L<Lmd, color to be copied belongs to shadow region, using FnModel carries out reverse color separation；If Lmd<L<Llm, color category to be copied In middle tone region, while use FnModel and Fn-1Model carries out reverse color separation, and turns to original so that reverse Color separating accuracy is optimal Then, it is determined that final color separation value.
- A kind of 8. halftoning apparatus spectral characteristic model optimization system according to claim 7, it is characterised in that：It is described Color measuring apparatus in color measuring module is spectrophotometer.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108462863A (en) * | 2018-02-11 | 2018-08-28 | 上海健康医学院 | A kind of display equipment color space transformation method based on composite model |
| CN113546874A (en) * | 2021-07-15 | 2021-10-26 | 厦门强力巨彩光电科技有限公司 | SMT PCB ink color classification method |
| CN113692089A (en) * | 2021-07-29 | 2021-11-23 | 中山市小兀照明科技有限公司 | Light source control method and device and computer readable storage medium |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108462863A (en) * | 2018-02-11 | 2018-08-28 | 上海健康医学院 | A kind of display equipment color space transformation method based on composite model |
| CN108462863B (en) * | 2018-02-11 | 2020-06-05 | 上海健康医学院 | Display equipment color space conversion method based on composite model |
| CN113546874A (en) * | 2021-07-15 | 2021-10-26 | 厦门强力巨彩光电科技有限公司 | SMT PCB ink color classification method |
| CN113692089A (en) * | 2021-07-29 | 2021-11-23 | 中山市小兀照明科技有限公司 | Light source control method and device and computer readable storage medium |
| CN113692089B (en) * | 2021-07-29 | 2023-07-11 | 中山市小兀照明科技有限公司 | Light source control method and device and computer readable storage medium |
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| CN107452042B (en) | 2019-10-25 |
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