80‐2: Spatiochromatic Model for Image‐Quality Prediction of High‐Dynamic‐Range and Wide‐Color‐Gamut Content

2020 ◽  
Vol 51 (1) ◽  
pp. 1194-1197 ◽  
Author(s):  
Robert Wanat ◽  
Anustup Choudhury ◽  
Scott Daly
Keyword(s):  
Image Quality ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Quality Prediction ◽  
Color Gamut ◽  
Wide Color Gamut ◽  
High Dynamic

Wide color gamut and high dynamic range displays using RGBW LCDs

Displays ◽  
2015 ◽  
Vol 40 ◽  
pp. 9-16 ◽  
Author(s):  
Kyung Joon Kwon ◽  
Min Beom Kim ◽  
Cheon Heo ◽  
Seong Gyun Kim ◽  
Jong Sang Baek ◽  
...  
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Color Gamut ◽  
Wide Color Gamut ◽  
High Dynamic

Adaptive reshaper for high dynamic range and wide color gamut video compression

2016 ◽  
Author(s):  
Taoran Lu ◽  
Fangjun Pu ◽  
Peng Yin ◽  
Jaclyn Pytlarz ◽  
Tao Chen ◽  
...  
Keyword(s):  
Video Compression ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Color Gamut ◽  
Wide Color Gamut ◽  
High Dynamic

3D-LUT Optimization for High Dynamic Range and Wide Color Gamut Color Processing

2021 ◽  
Keyword(s):  
International Symposium ◽  
Fast Track ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Color Gamut ◽  
Color Imaging ◽  
Color Processing ◽  
Electronic Imaging ◽  
Wide Color Gamut ◽  
High Dynamic

Fast track article for IS&T International Symposium on Electronic Imaging 2021: Color Imaging XXVI: Displaying, Processing, Hardcopy, and Applications proceedings.

Comparing common still image quality metrics in recent High Dynamic Range (HDR) and Wide Color Gamut (WCG) representations

2020 ◽  
Vol 2020 (9) ◽  
pp. 214-1-214-9
Author(s):  
Anustup Choudhury ◽  
Scott Daly
Keyword(s):  
Video Compression ◽  
Dynamic Range ◽  
Color Space ◽  
High Dynamic Range ◽  
Quality Metrics ◽  
Subjective Quality ◽  
Tone Mapping ◽  
Color Gamut ◽  
Wide Color Gamut ◽  
High Dynamic

There are an increasing number of databases describing subjective quality responses for HDR (high dynamic range) imagery with various distortions. The dominant distortions across the databases are those that arise from video compression, which are primarily perceived as achromatic, but there are some chromatic distortions due to 422 and other chromatic sub-sampling. Tone mapping from the source HDR levels to various levels of reduced capability SDR (standard dynamic range) are also included in these databases. While most of these distortions are achromatic, tone-mapping can cause changes in saturation and hue angle when saturated colors are in the upper hull of the of the color space. In addition, there is one database that specifically looked at color distortions in an HDR-WCG (wide color gamut) space. From these databases we can test the improvements to well-known quality metrics if they are applied in the newly developed color perceptual spaces (i.e., representations) specifically designed for HDR and WCG. We present results from testing these subjective quality databases to computed quality using the new color spaces of Jzazbz and ICTCP, as well as the commonly used SDR color space of CIELAB.

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