Paper
3 February 2014 Color signal encoding for high dynamic range and wide color gamut based on human perception
Mahdi Nezamabadi, Scott Miller, Scott Daly, Robin Atkins
Author Affiliations +
Proceedings Volume 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications; 90150C (2014) https://doi.org/10.1117/12.2042893
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
A new EOTF based on human perception, called PQ (Perceptual Quantizer), was proposed in a previous work (SMPTE Mot. Imag. J 2013, 122:52-59) and its performance was evaluated for a wide range of luminance levels and encoding bitdepth values. This paper is an extension of that previous work to include the color aspects of the PQ signal encoding. The efficiency of the PQ encoding and bit-depth requirements were evaluated and compared for standard color gamuts of Rec 709 (SRGB), and the wide color gamuts of Rec 2020, P3, and ACES for a variety of signal representations as RGB, YCbCr, and XYZ. In a selected color space for any potential local gray level 26 color samples were simulated by deviating one quantization step from the original color in each signal dimension. The quantization step sizes were simulated based on the PQ and gamma curves for different bit-depth values and luminance ranges for each of the color gamut spaces and signal representations. Color differences between the gray field and the simulated color samples were computed using CIE DE2000 color difference equation. The maximum color difference values (quantization error) were used as a metric to evaluate the performance of the corresponding EOTF curve. Extended color gamuts were found to require more bits to maintain low quantization error. Extended dynamic range required fewer additional bits in to maintain quantization error. Regarding the visual detection thresholds, the minimum bit-depth required by the PQ and gamma encodings are evaluated and compared through visual experiments.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mahdi Nezamabadi, Scott Miller, Scott Daly, and Robin Atkins "Color signal encoding for high dynamic range and wide color gamut based on human perception", Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 90150C (3 February 2014); https://doi.org/10.1117/12.2042893
Lens.org Logo
CITATIONS
Cited by 14 scholarly publications and 4 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computer programming

RGB color model

Quantization

Visualization

Color difference

High dynamic range imaging

Colorimetry

RELATED CONTENT

Single-layer HDR video coding with SDR backward compatibility
Proceedings of SPIE (September 27 2016)
Adaptive coding of images based on the visual activity level
Proceedings of SPIE (September 21 1994)
Chromatic coordinates in HDR image coding
Proceedings of SPIE (March 12 2008)
Uses and abuses of color spaces for digital photography
Proceedings of SPIE (June 07 2004)
Optimum Restoration Of Coded And Transmitted Images
Proceedings of SPIE (July 09 1976)

Back to Top