Heuristic approach to selecting a color appearance model for hue-preserved wide-color gamut mapping

Abstract As high-dynamic range (HDR) and wide-color gamut (WCG) contents become more and more popular in multimedia markets, color mapping of the distributed contents to different rendering devices plays a pivotal role in HDR distribution eco-systems. The widely used and economic gamut-clipping (GC)-based techniques perform poorly in mapping WCG contents to narrow gamut devices; and high-performance color-appearance model (CAM)-based techniques are computationally expensive to commercial applications. In this paper, we propose a novel color gamut mapping (CGM) algorithm to solve the problem. By introducing a color transition/protection zone (TPZ) and a set of perceptual hue fidelity constraints into the CIE-1931 space, the proposed algorithm directly carries out CGM in the perceptually non-uniform space, thus greatly decreases the computational complexity. The proposed TPZ effectively achieves a reasonable compromise between saturation preserving and details protection in out-of-gamut colors. The proposed hue fidelity constraints reference the measurements of human subjects' visual responses, thus effectively preserve the perceptual hue of the original colors. Experimental results show that the proposed algorithm clearly outperforms the GC-CGM, and performs similarly or better than the expensive CAM-CGM. The proposed algorithm is real-time and hardware friendly. It is an important supplement of the SMPTE ST.2094-40 standard.

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Color reproduction system based on color appearance model and gamut mapping

10.1117/12.389442 ◽

2000 ◽

Author(s):

Fang-Hsuan Cheng ◽

Chih-Yuan Yang

Keyword(s):

Color Appearance ◽

Appearance Model ◽

Color Reproduction ◽

Gamut Mapping ◽

Reproduction System

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Framework Design of Multispectral Color Management

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.262.109 ◽

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.

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Paper No S8.1: Color Volume-Based Wide Color Gamut Mapping for Rec. 2020 Contents in Digital Television

SID Symposium Digest of Technical Papers ◽

10.1002/sdtp.10570 ◽

2015 ◽

Vol 46 (S1) ◽

pp. 33-33

Author(s):

Byungseok Min ◽

Hocheon Wey ◽

Youngsu Moon

Keyword(s):

Digital Television ◽

Color Gamut ◽

Gamut Mapping ◽

Wide Color Gamut

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A testing paradigm for quantifying ICC profilers

Color and Imaging Conference ◽

10.2352/issn.2169-2629.2019.27.15 ◽

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.

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Change of color appearance due to extremely high light level: corresponding colors under 100 and 3000 cd/m2

Color and Imaging Conference ◽

10.2352/issn.2169-2629.2019.27.58 ◽

2019 ◽

Vol 2019 (1) ◽

pp. 320-325 ◽

Cited By ~ 1

Author(s):

Wenyu Bao ◽

Minchen Wei

Keyword(s):

Light Level ◽

Limited Range ◽

High Light ◽

Color Preference ◽

Color Appearance ◽

Appearance Model ◽

Color Matching ◽

Light Levels ◽

Appearance Models ◽

Psychophysical Study

Great efforts have been made to develop color appearance models to predict color appearance of stimuli under various viewing conditions. CIECAM02, the most widely used color appearance model, and many other color appearance models were all developed based on corresponding color datasets, including LUTCHI data. Though the effect of adapting light level on color appearance, which is known as "Hunt Effect", is well known, most of the corresponding color datasets were collected within a limited range of light levels (i.e., below 700 cd/m2), which was much lower than that under daylight. A recent study investigating color preference of an artwork under various light levels from 20 to 15000 lx suggested that the existing color appearance models may not accurately characterize the color appearance of stimuli under extremely high light levels, based on the assumption that the same preference judgements were due to the same color appearance. This article reports a psychophysical study, which was designed to directly collect corresponding colors under two light levels— 100 and 3000 cd/m2 (i.e., ≈ 314 and 9420 lx). Human observers completed haploscopic color matching for four color stimuli (i.e., red, green, blue, and yellow) under the two light levels at 2700 or 6500 K. Though the Hunt Effect was supported by the results, CIECAM02 was found to have large errors under the extremely high light levels, especially when the CCT was low.

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