A testing paradigm for quantifying ICC profilers

2019 ◽  
Vol 2019 (1) ◽  
pp. 80-85
Author(s):  
Pooshpanjan Roy Biswas ◽  
Alessandro Beltrami ◽  
Joan Saez Gomez
Keyword(s):  
Digital Camera ◽  
Visual Assessment ◽  
Just Noticeable Difference ◽  
Color Management ◽  
Color Gamut ◽  
Gamut Mapping ◽  
Digital File ◽  
Mapping Process ◽  
Testing Paradigm

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.

Printed Quality and Color Management for Metal Sheet Printing

2012 ◽  
Vol 505 ◽  
pp. 216-220
Author(s):  
P. Kajondecha ◽  
Nitus Tipsotnaiyana ◽  
T. Burana
Keyword(s):  
Management Program ◽  
Metal Sheet ◽  
Base Line ◽  
Density Level ◽  
Color Management ◽  
Color Gamut ◽  
Gamut Mapping ◽  
Ink Jet ◽  
Standard Quality ◽  
Color Coating

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.

Evaluation of Device Color Gamut Description Algorithms

2015 ◽  
Vol 731 ◽  
pp. 68-71 ◽  
Author(s):  
Yong Wen Jiang ◽  
Mao Hai Lin
Keyword(s):  
Volume Rendering ◽  
Evaluation Method ◽  
Color Space ◽  
Color Management ◽  
Color Gamut ◽  
Gamut Mapping ◽  
The Past ◽  
Intuitive View ◽  
Cielab Color ◽  
Volume Rendering Technique

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.

Framework Design of Multispectral Color Management

2012 ◽  
Vol 262 ◽  
pp. 109-112
Author(s):  
Hai Wen Wang ◽  
Jie Li ◽  
Guang Xue Chen
Keyword(s):  
Research Direction ◽  
Management Model ◽  
Appearance Model ◽  
Color Management ◽  
Color Gamut ◽  
Basic Composition ◽  
Gamut Mapping ◽  
Framework Design ◽  
Management Technology ◽  
Working Principle

It briefly analyzed the disadvantages of ICC (International Color Consortium) color management technology and color management technology based on iCAM (image Color Appearance Model), and then it put forward the thought of multi-spectral color management technology. It specifically designed the basic framework of the multispectral color management, focused on the basic composition and working principle of spectral color management model. Besides it analyzed the composition and basic principle of spectral color gamut mapping framework. Lastly it pointed out the research direction of multispectral color management.

scholarly journals A Color Gamut Description Algorithm for Liquid Crystal Displays inCIELABSpace

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Bangyong Sun ◽  
Han Liu ◽  
Wenli Li ◽  
Shisheng Zhou
Keyword(s):  
Liquid Crystal ◽  
Outer Surface ◽  
Color Space ◽  
Liquid Crystal Displays ◽  
Color Gamut ◽  
Gamut Mapping ◽  
Calculating Method ◽  
Boundary Points ◽  
Calculation Algorithms ◽  
Mapping Process

Because the accuracy of gamut boundary description is significant for gamut mapping process, a gamut boundary calculating method forLCDmonitors is proposed in this paper. Within most of the previous gamut boundary calculation algorithms, the gamut boundary is calculated inCIELABspace directly, and part of inside-gamut points are mistaken for the boundary points. While, in the new proposed algorithm, the points on the surface ofRGBcube are selected as the boundary points, and then converted and described inCIELABcolor space. Thus, in our algorithm, the true gamut boundary points are found and a more accurate gamut boundary is described. In experiment, a ToshibaLCDmonitor’s 3DCIELABgamut for evaluation is firstly described which has regular-shaped outer surface, and then two 2D gamut boundaries (CIE-a*b*boundary andCIE-C*L*boundary) are calculated which are often used in gamut mapping process. When our algorithm is compared with several famous gamut calculating algorithms, the gamut volumes are very close, which indicates that our algorithm’s accuracy is precise and acceptable.

P‐13.11: A Color Gamut Mapping Reducing the Influence of IR‐drop in OLED Displays

2019 ◽  
Vol 50 (S1) ◽  
pp. 985-987
Author(s):  
Junting Ouyang ◽  
Bojia Lyu ◽  
DZ Peng ◽  
Kang Yang ◽  
Xiangzi Kong ◽  
...  
Keyword(s):  
Color Gamut ◽  
Gamut Mapping ◽  
Ir Drop

Three-Dimensional Color Gamut Visualization of Digital Output Device Based on ICC Profile

2012 ◽  
Vol 262 ◽  
pp. 36-39 ◽  
Author(s):  
Yun Hui Luo ◽  
Mao Hai Lin
Keyword(s):  
Dimensional Space ◽  
Color Space ◽  
Three Dimensional ◽  
Color Gamut ◽  
Digital Output ◽  
Gamut Mapping ◽  
Output Device ◽  
High Quality Image ◽  
Image Appearance ◽  
Cie Lab

As color gamut of digital output device greatly affects image appearance, accurate and effective gamut description for output device is intensively required for developing high-quality image reproduction technique based on gamut mapping. In this paper, we present a novel method to determine color gamut of output device by using a specific 3D reconstruction technology and device ICC profile. First, we populate the device color space by uniform sampling in the RGB 3-Dimensional space, and convert these sampling points to CMYK color space. Then, we work out the CIE LAB value of these points according to the ICC profile of output device. At last, in CIE LAB color space the boundary of these points is determined by using a gamut boundary descriptor based on Ball-Pivoting Algorithm (BPA) proposed by Bernardini. Compared with the results generated by ICC3D, our proposed method can compute device gamut more efficiently and at the same time give a more accurate gamut description of the output device. It will be help to develop effective gamut mapping algorithms for color reproduction.

Analysis to the Influence of Rendering Intents on Image Reproduction

2012 ◽  
Vol 236-237 ◽  
pp. 360-365
Author(s):  
Lin Lin Chen ◽  
Guang Xue Chen ◽  
Qi Feng Chen ◽  
Rui Xin Xu
Keyword(s):  
Great Influence ◽  
Color Difference ◽  
Experimental Results ◽  
Color Management ◽  
Color Gamut ◽  
Image Reproduction

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.

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