gamut mapping
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2021 ◽  
Vol 2021 (29) ◽  
pp. 71-76
Author(s):  
Xu Lihao ◽  
Xu Qiang ◽  
Ming Ronnier Luo

This paper describes a colour image enhancement method for those having colour-vision deficiencies. The proposed method can be divided into 3 stages. Firstly, a conversion relation between the wavelength shift (measured in nanometers) of a colour deficient observer (CDO) and the severity of colour deficiency was established. Secondly, the perceived colour gamut was built by applying the conversion relation. Finally, the original images were re-coloured by adopting a gamut mapping algorithm to map colours from the gamut of colour normal observer (CNO) to that of a CDO. Psychophysical experiments were then conducted to show the effectiveness of the method.


2021 ◽  
Vol 12 (11) ◽  
pp. 6882
Author(s):  
Lihao Xu ◽  
Qinyuan Li ◽  
Xiaoxuan Liu ◽  
Qiang Xu ◽  
Ming Ronnier Luo

2021 ◽  
Vol 2021 (3) ◽  
pp. 108-1-108-14
Author(s):  
Eberhard Hasche ◽  
Oliver Karaschewski ◽  
Reiner Creutzburg

In modern moving image production pipelines, it is unavoidable to move the footage through different color spaces. Unfortunately, these color spaces exhibit color gamuts of various sizes. The most common problem is converting the cameras’ widegamut color spaces to the smaller gamuts of the display devices (cinema projector, broadcast monitor, computer display). So it is necessary to scale down the scene-referred footage to the gamut of the display using tone mapping functions [34].In a cinema production pipeline, ACES is widely used as the predominant color system. The all-color compassing ACES AP0 primaries are defined inside the system in a general way. However, when implementing visual effects and performing a color grade, the more usable ACES AP1 primaries are in use. When recording highly saturated bright colors, color values are often outside the target color space. This results in negative color values, which are hard to address inside a color pipeline. "Users of ACES are experiencing problems with clipping of colors and the resulting artifacts (loss of texture, intensification of color fringes). This clipping occurs at two stages in the pipeline: <list list-type="simple"> <list-item>- Conversion from camera raw RGB or from the manufacturer’s encoding space into ACES AP0</list-item> <list-item>- Conversion from ACES AP0 into the working color space ACES AP1" [1]</list-item> </list>The ACES community established a Gamut Mapping Virtual Working Group (VWG) to address these problems. The group’s scope is to propose a suitable gamut mapping/compression algorithm. This algorithm should perform well with wide-gamut, high dynamic range, scene-referred content. Furthermore, it should also be robust and invertible. This paper tests the behavior of the published GamutCompressor when applied to in- and out-ofgamut imagery and provides suggestions for application implementation. The tests are executed in The Foundry’s Nuke [2].


2021 ◽  
Vol 52 (S1) ◽  
pp. 16-19
Author(s):  
Daxue Xia ◽  
Lin Chen ◽  
Renli Xie

2021 ◽  
Vol 52 (S1) ◽  
pp. 553-556
Author(s):  
Hsueh-Yen Yang ◽  
Xing Li ◽  
Ching-Pei Cheng ◽  
Xin-Hui Li

2021 ◽  
pp. 499-507
Author(s):  
Rajeev Ramanath ◽  
Mark S. Drew
Keyword(s):  

2020 ◽  
Vol 38 (1) ◽  
pp. 140
Author(s):  
Muhammad Safdar ◽  
Patrick Emmel
Keyword(s):  

2020 ◽  
Vol 51 (1) ◽  
pp. 1190-1193
Author(s):  
Jongwoong Park ◽  
Jaewoo Song ◽  
Jiyeon Baik ◽  
Wonjun Choe

2020 ◽  
Vol 28 (10) ◽  
pp. 15392
Author(s):  
Kang-Kyu Lee ◽  
Jae-Woo Kim ◽  
Je-Ho Ryu ◽  
Jong-Ok Kim
Keyword(s):  

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