CN107357537A - Towards the halftoning apparatus colour separating model batch construction method and system of different medium - Google Patents
Towards the halftoning apparatus colour separating model batch construction method and system of different medium Download PDFInfo
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Abstract
The present invention is included in equipment ink quantity space uniform sampling and obtains low-density sample set preparation color sample towards the halftoning apparatus colour separating model batch construction method and system of different medium；Measurement obtains each medium color sample colouring information and calculates its corresponding colour gamut；Colour gamut maximum medium is chosen, carries out high-density sampling and build high accuracy to characterize model, it includes forward prediction model and reverse colour separating model；Using reverse colour separating model, the maximum gamut dielectric ink amount information corresponding to other medium color sample color informations is solved；Build the neural network model between above-mentioned ink amount information and original low-density sampling ink amount information；For any color to be copied, corresponding ink amount information is solved using the reverse colour separating model of maximum gamut medium, then the ink amount information according to the prediction of aforementioned neurological network model for other media, completes color separation.The present invention can be achieved to build towards the colour separating model mass of different medium, and easy to implement.
Description
Technical field
The invention belongs to halftone color reproduction technology field, and in particular to a kind of halftoning apparatus towards different medium
Colour separating model batch construction 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, halftoning apparatus colour separating model structure is that color is answered
Key link during system, it substantially builds the mapping mould to halftoning apparatus ink amount information by color information to be copied
Type.
At present, in halftone color reproduction technology field, the structure of colour separating model is all building with halftoning forecast model
Based on vertical.Wherein, halftone color forecast model implication is by the mapping of halftoning ink amount information to sample color information
Function.It can be seen that colour separating model and Colours model actually reverse process each other, in this research field, generally by color
Forecast model is referred to as forward model, and colour separating model is referred to as into reverse model, and the aggregation process of the two is referred to as into halftoning
Device characterization models.In actual mechanical process, those skilled in the art are generally directed to specific ink amount using halftoning apparatus
Information prepares color sample, measures its color information, and build forward model with this.Then, using related optimization algorithm, from
Mathematical angle is to positive Inverse Model, so as to build reverse model, i.e. colour separating model.
At present, in order to ensure the structure precision of halftoning colour separating model, existing method generally uses high-density sampling method,
Such as bibliography 1,2.
Bibliography 1：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.
Bibliography 2：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.
However, due to this high-density sampling method in color sample Production Time, consumables cost etc. all with more
The defects of obvious, therefore its actual application value is limited.Particularly when halftone color replicating medium species is more, one by one to each
Medium carries out such colour separating model structure and does not often have feasibility.
Therefore, this area is at present there is an urgent need to a kind of more simple and efficient method, can more precise and high efficiency realization
Halftoning colour separating model batch towards different medium is built, so as to be provided with for the application popularization of halftone color reproduction technology
The method support of effect.However, restricted by subjective and objective factors such as theoretical method levels, for problem above, academic circles at present with
Industrial quarters not yet proposes corresponding solution method.
The content of the invention
The invention aims to solve problem described in background technology, a kind of halftoning towards different medium is proposed
Equipment colour separating model batch construction method and system.
The technical scheme is that provide a kind of halftoning apparatus colour separating model batch structure side towards different medium
Method, comprise the following steps：
Step 1, sampled in equipment mass colour space uniform, obtain low-density sample set T, color sample is prepared for each medium
This；
Step 2, the color information of the color sample prepared by color measuring apparatus measuring process 1 is utilized；
Step 3, gained color information is measured using step 2, calculates the gamut volume of each medium color sample collection；
Step 4, principle is turned to colour gamut maximum, chooses colour gamut optimal media J, and high density sample is based on for J structures
Collect G characterization model, characterize model and wherein include forward prediction model F and reverse colour separating model B；
Step 5, other medium color samples are solved using colour separating model B in step 4 and collects T in color sample prepared by step 1
Ink amount information T ' corresponding to this information S；
Step 6, using neural net method, other medium color sample collection T and step 5 colour separating model B in construction step 1
Neural network model between required sample set T '；
Step 7, for any color information to be copied, solved first with colour separating model B in step 4 for J media
Ink amount information, followed by the neutral net constructed by step 6, the ink amount information for being directed to other media in step 1 is solved, is completed
Color separation.
Moreover, low-density sample set T sample mode samples for space uniform in step 1, each mass colour dimension samples sample
This number is 4.
Moreover, measurement gained color information can be chrominance information or spectral reflectivity information in step 2.
Moreover, gamut volume computational methods are algorithm of convex hull or α-shape algorithms in step 3.
Moreover, step 4 middle-high density sample mode samples for space uniform, each mass colour dimension sample number is no less than
5.
The present invention provides a kind of halftoning apparatus colour separating model batch constructing system towards different medium, including following mould
Block：
Low-density sampling module, sampled for equipment mass colour space uniform, low-density sample set T is obtained, for each medium
Prepare color sample；
Color measuring module, utilize the color of the color sample prepared by color measuring apparatus measurement low-density sampling module
Information；
Gamut volume computing module, gained color information is measured using color measuring module, calculates each medium color sample
The gamut volume of collection；
Optimal media characterizes module, and principle is turned to colour gamut maximum, chooses colour gamut optimal media J, and for J structure bases
In high density sample set G characterization model, wherein including forward prediction model F and reverse colour separating model B；
Low-density sample color separation computing module, characterize colour separating model B in module using optimal media and solve other media
Sample set T is in ink amount information T ' corresponding to color information S prepared by low-density sampling module；
Neutral net builds module, using neural net method, builds other dielectric sample collection T and low-density sample color separation
Neural network model between sample set T ' required by computing module colour separating model B；
Final color separation module, for any color information to be copied, color separation in module is characterized first with optimal media
Model B solves the ink amount information for J media, followed by the neutral net constructed by neutral net structure module, solves pin
To the ink amount information of other media, color separation is completed.
Moreover, low-density sample set T sample mode samples for space uniform in low-density sampling module, each mass colour dimension
It is 4 to spend sample number.
Moreover, measurement gained color information can be chrominance information or spectral reflectivity information in color measuring module.
Moreover, gamut volume computational methods are algorithm of convex hull or α-shape algorithms in gamut volume computing module.
Sampled moreover, optimal media characterizes module middle-high density sample mode for space uniform, each mass colour dimension is adopted
Sample sample number is no less than 5.
A kind of halftoning apparatus colour separating model batch constructing technology scheme towards different medium proposed by the present invention, with color
Based on domain maximum medium high-density sampling, high accuracy modeling, by building colour gamut maximum medium and other dielectric ink amount information
Relevance model, and then realize other medium colour separating model equivalency transforms based on colour gamut maximum medium colour separating model, so as to
The high-precision colour separating model batch for realizing other media with low-density sample mode is built.This method efficiently solves background technology
Described problem, and it is easy to implement, there is stronger applicability in multi-color halftone Color Replication technical field.Due to skill of the present invention
Art scheme has important application meaning, is supported by multiple research projects：1. Shenzhen's basic research project
JCYJ20150422150029093, the Wuhan City youth morning twilight talent of 2. project of national nature science fund project 61505149,3. plan
2016070204010111,4. Hubei Province Nsfc Projects 2015CFB204.Technical solution of the present invention is protected,
It is significant first place in the world will to be competed to China's relevant industries.
Brief description of the drawings
Fig. 1 is the flow chart of construction method embodiment of the present invention；
Fig. 2 is the structured flowchart of constructing system 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 colour separating model batch structure side towards different medium that embodiment as shown in Figure 1 provides
Method, can it is more convenient and efficiently realize towards a variety of media halftoning apparatus colour separating model mass structure, Jin Erjin
One step promotes the application and popularization of halftoning apparatus Color Replication technology at this stage.Embodiment is with certain color ink-jet printer of CMYK tetra-
Exemplified by, certain brand bloom printing paper H1, matt printing paper H2 and asperities art paper H3 is respectively adopted and carries out colour separating model structure.Need
Illustrate, it is same for miscellaneous equipment and medium, this method the invention is not limited in above-mentioned halftoning apparatus and medium
It is applicable.
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：
Step 1, in equipment mass colour space uniform sample, obtain low-density sample set T, prepare color sample for each medium
This.Moreover, low-density sample set T sample mode samples for space uniform in step 1, each mass colour dimension sample number is
4；
Low-density space uniform sampling is carried out in its CMYK mass colours space for example IV color printing device, wherein each ink
Color dimension sampling dimension is 4, i.e., each mass colour dimension value be 0,33,67,100 therefore symbiosis into 4*4*4*4=256 mass colour sample
This, forms low-density sample set T, and prepare color sample in printing on all kinds of media.
Step 2, the color information using color sample prepared in color measuring apparatus measuring process 1, moreover, step
Measurement gained color information can be chrominance information or spectral reflectivity information in 2；
Utilize the spectrum of prepared each sample in X-rite Spectroscan type push-broom type spectrophotometer measurement steps 1
Reflectivity information, its wave-length coverage be 400nm-700nm. in measurement process, to improve measurement accuracy, taken for 2 times using measurement
Average mode is carried out.
Step 3, using measurement gained color information in step 2, calculate the gamut volume of each medium color sample collection.And
And gamut volume computational methods are algorithm of convex hull or α-shape algorithms in step 3；
There is higher-dimension due to measuring the data obtained in step 2, for convenience of calculating, can be converted first empty to colourity
Between, embodiment uses the CIELAB color spaces under the conditions of D50/2.Then, each medium low-density sample is calculated using algorithm of convex hull
This gamut volume.Wherein, color space convert and algorithm of convex hull be respectively known in colorimetry and field of Computer Graphics,
Specifically refer to：
Schanda J.CIE colorimetry:Wiley Online Library；2007.
Barber CB,Dobkin DP,Huhdanpaa H.The quickhull algorithm for convex
hulls.ACM Transactions on Mathematical Software(TOMS).1996；22(4):469-83.
Step 4, principle is turned to colour gamut maximum, choose colour gamut optimal media J, and high density sample is based on for J structures
Collect G characterization model, wherein comprising forward prediction model F and reverse colour separating model B, moreover, step 4 middle-high density samples
Mode samples for space uniform, and each mass colour dimension sample number is no less than 5；
In embodiment, calculated from algorithm of convex hull in step 3, in terms of low-density sample T gamut volume, H1>H2>
H3, therefore herein using H1 media as optimal media J, and build BPnCYNSN models, i.e. forward model F, and then for it
Mathematical inverse is carried out to F using sequential quadratic programming algorithm, and then realizes reverse colour separating model B structure.Wherein, insert space
Each mass colour sampling number of high density uniform sampling is 6, and its value is 0,20,40,60,80,100, and symbiosis is into colour specimen 6*6*
6*6=1296 (sample set G).Herein, built respectively using BPnCYNSN models and sequential quadratic programming algorithm forward and reverse
Model F and B is prior art, reference can be made to：
Liu Q,Wan X,Xie D.Optimization of spectral printer modeling based on
a modified cellular Yule 2013；Nielsen spectral Neugebauer model.J Opt Soc Am
A.2014；31(6):1284-94.
Step 5, solve other dielectric samples using colour separating model B in step 4 and collect T prepared color information S in step 1
Corresponding ink amount information T '；
In embodiment, by taking H2 media as an example, gained light is measured in H2 medium printings for 256 samples in sample set T
Reflectivity information S is composed, is solved using reverse colour separating model B constructed in step 4, obtains 256 groups of ink amount information T '.Example
Such as, for colour specimen in T (33,33,33,33) corresponding to color spectrum reflectivity information, through reverse colour separating model B color separations
Afterwards, mass colour value of the reflectivity in mass colour space corresponding to medium J is (28,36,30,19), i.e., above-mentioned two groups of ink values are in light
There is equivalence in terms of spectrum reflectivity sign.
Step 6, using neural net method, build sample required by other medium sample this collection of color T and step 5 colour separating model B
Neural network model between this collection T '；
Then, embodiment is using 256 group of four color ink value corresponding to T ' as input, with 256 group of four color model corresponding to T
For output, three layers of BP neural network are built, wherein the construction method of BP neural network is known in simultaneously field, the present invention is not superfluous
State.
Step 7, for any color information to be copied, solved first with colour separating model B in step 4 for J media
Ink amount information, followed by the neutral net constructed by step 6, the ink amount information for other media is solved, completes color separation.
In embodiment, by taking H2 media as an example, if intending H2 media replicates certain cyan sample spectrum reflectivity information, can
Mass colour information (80,11,3,24) corresponding to optimal media J is solved first with colour separating model B in step 4, and by step 6
The BP neural network prediction of structure is corresponding in the mass colour information (85,12,2,19) of H2 media, completes color separation.
Further to confirm the inventive method in terms of the halftoning apparatus colour separating model batch structure towards different medium
Possessed advantage, this research are entered using the 100 groups of color samples randomly selected to H1, H2, the colour separating model precision of H3 media
Exhibition test and appraisal.Wherein, H1 media are colour gamut maximum medium J, and because it uses high-density sampling to model, therefore its average Color separating accuracy is
1.02 (CIELAB color difference formula, refer to Schanda J.CIE colorimetry:Wiley Online Library；
2007.), and based on the H2 constructed by the inventive method, its Color separating accuracy of H3 is respectively 2.46,2.29 (CIELAB color difference public affairs
Formula).Although compared to high-density sampling modeling pattern, its colour separating model precision is significantly lower than high-density sampling method, due to
In fact it is 3-6 (CIELAB color difference formula) to replicate field to be subjected to color difference threshold in ordinary color, therefore visible the inventive method
Constructed colour separating model precision is still in tolerance interval.Moreover, 1296 compared to high-density sampling mode sample sample
This, the method for the invention only needs 256 samples, in consumables cost and in terms of the color measuring time, only conventional method
20%.It is contemplated that in actual applications, when medium species showed increased, the method for the invention advantage will be more bright
It is aobvious.
The present invention provides a kind of halftoning apparatus colour separating model batch constructing system towards different medium, including following mould
Block：
Low-density sampling module, sampled for equipment mass colour space uniform, low-density sample set T is obtained, for each medium
Prepare color sample；
Color measuring module, utilize the color of the color sample prepared by color measuring apparatus measurement low-density sampling module
Information；
Gamut volume computing module, gained color information is measured using color measuring module, calculates each medium color sample
The gamut volume of collection；
Optimal media characterizes module, and principle is turned to colour gamut maximum, chooses colour gamut optimal media J, and for J structure bases
In high density sample set G characterization model, wherein including forward prediction model F and reverse colour separating model B；
Low-density sample color separation computing module, characterize colour separating model B in module using optimal media and solve other media
Sample set T is in ink amount information T ' corresponding to color information S prepared by low-density sampling module；
Neutral net builds module, using neural net method, builds other dielectric sample collection T and low-density sample color separation
Neural network model between sample set T ' required by computing module colour separating model B；
Final color separation module, for any color information to be copied, color separation in module is characterized first with optimal media
Model B solves the ink amount information for J media, followed by the neutral net constructed by neutral net structure module, solves pin
To the ink amount information of other media, color separation is completed.
Wherein, low-density sample set T sample mode samples for space uniform in low-density sampling module, each mass colour dimension
It is 4 to spend sample number.
Wherein, measurement gained color information can be chrominance information or spectral reflectivity information in color measuring module.
Wherein, gamut volume computational methods are algorithm of convex hull or α-shape algorithms in gamut volume computing module.
Wherein, optimal media characterizes module middle-high density sample mode and sampled for space uniform, and each mass colour dimension is adopted
Sample sample number is no less than 5.
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 (10)
1. a kind of halftoning apparatus colour separating model batch construction method towards different medium, it is characterised in that including following step
Suddenly：
Step 1, sampled in equipment mass colour space uniform, obtain low-density sample set T, color sample is prepared for each medium；
Step 2, the color information of the color sample prepared by color measuring apparatus measuring process 1 is utilized；
Step 3, gained color information is measured using step 2, calculates the gamut volume of each medium color sample collection；
Step 4, principle is turned to colour gamut maximum, chooses colour gamut optimal media J, and build based on high density sample set G's for J
Model is characterized, model is characterized and includes forward prediction model F and reverse colour separating model B；
Step 5, collect T using the other medium color samples of colour separating model B solutions in step 4 in color sample prepared by step 1 to believe
Cease ink amount information T ' corresponding to S；
Step 6, using neural net method, in construction step 1 required by other medium color sample collection T and step 5 colour separating model B
Neural network model between sample set T '；
Step 7, for any color information to be copied, the ink amount for J media is solved first with colour separating model B in step 4
Information, followed by the neutral net constructed by step 6, solve the ink amount information for being directed to other media in step 1, completion point
Color.
2. halftoning apparatus colour separating model batch construction method according to claim 1, it is characterised in that：It is low close in step 1
The sample mode for spending sample set T samples for space uniform, and each mass colour dimension sample number is 4.
3. halftoning apparatus colour separating model batch construction method according to claim 1, it is characterised in that：Measured in step 2
Gained color information can be chrominance information or spectral reflectivity information.
4. halftoning apparatus colour separating model batch construction method according to claim 1, it is characterised in that：Colour gamut in step 3
Calculation method of physical volume is algorithm of convex hull or α-shape algorithms.
5. halftoning apparatus colour separating model batch construction method according to claim 1, it is characterised in that：It is highly dense in step 4
Spend sample mode to sample for space uniform, each mass colour dimension sample number is no less than 5.
6. a kind of halftoning apparatus colour separating model batch constructing system towards different medium, it is characterised in that including following mould
Block：
Low-density sampling module, sampled for equipment mass colour space uniform, obtain low-density sample set T, prepared for each medium
Color sample；
Color measuring module, the color using the color sample prepared by color measuring apparatus measurement low-density sampling module are believed
Breath；
Gamut volume computing module, gained color information is measured using color measuring module, calculates each medium color sample collection
Gamut volume；
Optimal media characterizes module, and principle is turned to colour gamut maximum, chooses colour gamut optimal media J, and for J structures based on height
Density sample set G characterization model, wherein including forward prediction model F and reverse colour separating model B；
Low-density sample color separation computing module, characterize colour separating model B in module using optimal media and solve other dielectric samples
Collect T in ink amount information T ' corresponding to color information S prepared by low-density sampling module；
Neutral net builds module, using neural net method, builds other dielectric sample collection T and is calculated with the color separation of low-density sample
Neural network model between sample set T ' required by module colour separating model B；
Final color separation module, for any color information to be copied, colour separating model B in module is characterized first with optimal media
The ink amount information for J media is solved, followed by the neutral net constructed by neutral net structure module, is solved for other
The ink amount information of medium, completes color separation.
7. halftoning apparatus colour separating model batch constructing system according to claim 6, it is characterised in that：Low-density samples mould
Low-density sample set T sample mode samples for space uniform in block, and each mass colour dimension sample number is 4.
8. halftoning apparatus colour separating model batch constructing system according to claim 6, it is characterised in that：Color measuring module
Color information obtained by middle measurement can be chrominance information or spectral reflectivity information.
9. halftoning apparatus colour separating model batch constructing system according to claim 6, it is characterised in that：Gamut volume calculates
Gamut volume computational methods are algorithm of convex hull or α-shape algorithms in module.
10. halftoning apparatus colour separating model batch constructing system according to claim 6, it is characterised in that：Optimal media is special
Property module middle-high density sample mode be space uniform sampling, each mass colour dimension sample number be no less than 5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
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Cited By (2)
| 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 |
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