P‐7.3: A methodology of color management with saturation searching and color gamut remapping

2021 ◽  
Vol 52 (S2) ◽  
pp. 892-895
Author(s):  
Hsueh-Yen Yang ◽  
Ming-Feng Zhou
Keyword(s):  
2019 ◽  
Vol 2019 (1) ◽  
pp. 80-85
Author(s):  
Pooshpanjan Roy Biswas ◽  
Alessandro Beltrami ◽  
Joan Saez Gomez

To reproduce colors in one system which differs from another system in terms of the color gamut, it is necessary to use a color gamut mapping process. This color gamut mapping is a method to translate a specific color from a medium (screen, digital camera, scanner, digital file, etc) into another system having a difference in gamut volume. There are different rendering intent options defined by the International Color Consortium [5] to use the different reproduction goals of the user [19]. Any rendering intent used to reproduce colors, includes profile engine decisions to do it, i.e. looking for color accuracy, vivid colors or pleasing reproduction of images. Using the same decisions on different profile engines, the final visual output can look different (more than one Just Noticeable Difference[16]) depending on the profile engine used and the color algorithms that they implement. Profile performance substantially depends on the profiler engine used to create them. Different profilers provide the user with varying levels of liberty to design a profile for their color management needs and preference. The motivation of this study is to rank the performance of various market leading profiler engines on the basis of different metrics designed specifically to report the performance of particular aspects of these profiles. The study helped us take valuable decisions regarding profile performance without any visual assessment to decide on the best profiler engine.


2012 ◽  
Vol 236-237 ◽  
pp. 360-365
Author(s):  
Lin Lin Chen ◽  
Guang Xue Chen ◽  
Qi Feng Chen ◽  
Rui Xin Xu

Rendering intent is one of the key elements of color management, which has a great influence on image reproduction. Matching principles of four kinds of rendering intents in ICC are elaborated. Based on the color management workflow of ICC, the chromaticity of the color patches are measured with the spectrophotometer. And then the color difference and color gamut volume of the color patches are calculated and analyzed. The experimental results play an instructive role in the choice of rendering intents and the implementation of the color management.


2010 ◽  
Vol 174 ◽  
pp. 101-104
Author(s):  
Pei Qing Huang ◽  
Wei Dai ◽  
Xian Fu Wei ◽  
Ying Jie Xu ◽  
Ling Ya Gu ◽  
...  

In order to guarantee the quality of the gravure cylinder making. Three kinds of characteristic files generation software (Monaco、Profile-Maker and GMG Profile Editor) are used to generate the characteristic files of electronic engraved gravure print. The generated characteristic files “profile” which use different methods of color management, is used to conduct color management to gravure cylinder making. Then study the color rendering of the printed matter, analyze and compare the software which generates the gravure printing characteristic files “ICC” and the methods of color management. The results show that in comparison the color gamut of the characteristic files which using the software “Monaco” to generate is bigger; the characteristic files which using the software “Profile make” is smaller in the color gamut range of blue to chartreuse; the characteristic files which using the software “GMG Profile Editer” is more excellent than others in the a axis (the color gamut range of red and green). Using the method of color management “GMG” conduct color management to gravure cylinder making, can get the good consequent, which is the best method of color management to gravure printing.


2012 ◽  
Vol 182-183 ◽  
pp. 352-356
Author(s):  
Hong Guang Sun ◽  
Kai Li ◽  
En Qiang Yin ◽  
Hong Ju Cheng

The purpose of this experiment was to demonstrate a quality analysis and control method for color management of EPSON 7600 color printer. The parameters of proofs, including solid density, dot gain, gray balance and color gamut were measured, and were compared with the offset quality. The paper put forward a practical solution for editing and optimizing color management and the profiles of devices. At the same time, the effect in Transmission and conversion of color information in standardized color management was analyzed and the evaluation model of color management and profile was established, which included subjective and objective evaluations.


2014 ◽  
Vol 910 ◽  
pp. 405-409
Author(s):  
Chang Xian Cheng ◽  
Yan Mei Liang

Abstract. In order to study the color matching effect of ink-jet printing press under different color management systems. I applied EFI and ORIS series color management soft wares separately to the same Epson ink-jet printer and optimized the proofing with exploring the most reasonable settings. After that, I will compare the gamut and color difference in a special color management module, and also make a contrast with a standard color gamut to check the color matching effect. The results show that the average color differences of the two soft wares are all below 1.0. However, differences measured by ORIS is lower, falling to 0.5 only, which implies the proofing under ORIS color management is more similar to the presswork and more stable.


2012 ◽  
Vol 505 ◽  
pp. 216-220
Author(s):  
P. Kajondecha ◽  
Nitus Tipsotnaiyana ◽  
T. Burana

The paper aims to analyst metal sheet printed quality based on ISO12647-2 and color gamut mapping of metal sheet digital proof. ECI2002CMYK test chart was printed on white color coating-metal sheet in 3-density levels with -.1 density differences and the printed quality then was analyzed in various factors. A density level that achieved ISO12647-2 standard quality was selected as the base line for ICC profile for color gamut mapping. Based on this color gamut mapping, the metal sheet digital proof was produced by ink-jet printer through Color Management program. The result showed that metal sheet digital proof appropriate for metal sheet printing simulation.


2015 ◽  
Vol 731 ◽  
pp. 68-71 ◽  
Author(s):  
Yong Wen Jiang ◽  
Mao Hai Lin

A well performed gamut boundary description (GBD) algorithm is the foundation of color gamut mapping and it is also a guarantee for color management to acquire a good results. In order to get a more accurate color gamut boundary and have a intuitive view of what can be reproduced by the device, several GBDs have been presented in the past, since there is not exist a widely accept GBD evaluation method, it is difficult to choose which to use in color gamut mapping and color gamut visualization. In this paper, we propose a device GBD evaluation method based on volume rendering technique to evaluate the current presented GBD algorithms. First a dense sample of device color space is made, then those data is converted into CIELAB color space through the device ICC profile using colorimetric rendering intent, the data is then processed using volume rendering technique into voxels, those voxels which contain all the color the device can reproduced is considered as the reference gamut. Finally the device color gamuts constructed by different GBD algorithms using converted data are compared with the reference gamut using the new gamut mismatch indice.


2010 ◽  
Vol 174 ◽  
pp. 235-238
Author(s):  
Yan Fang Xu ◽  
Gui Ping Jiang ◽  
Li Li Wang ◽  
Hao Xue Liu

Color output capability and output accuracy of digital printing machine used for simulating the offset printing were analyzed. A digital machine, HpIndigo 1050, was used in this study. The colorimetric values of its primaries, cyan, magenta, yellow and black, were not the same as that primaries used in the offset printing, and the differences between them could not be removed by adjusting the maximal output ink level. The HpIndigo’s color gamut, consequently, could not completely meet the offset print requirement, typically presenting the absence of some colors equal to or close to the offset’s color gamut. So, color management technique was accepted in our experiment, and the offset’s CMYK values were translated into the digital machine’s CMYK values with the relative intent color simulation through these two machine’s profiles. The results showed that the color output accuracy within the offset color gamut was raised on the whole, and the big color differences only happened on these colors outside the digital machine’s gamut. Numerically, for 928 colors in IT8.7/3 chart, the CIELAB average/maximal color differences dropped from 4.98/13.90 to 3.13/13.13 respectively corresponding to the cases before and after color management accepting. Specially, for gray colors, the average/maximal color differences changed from 4.91/5.59 to 0.92/2.00, improving the gray balance dramatically.


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