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17 March 2015 Evaluation of color encodings for high dynamic range pixels
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Proceedings Volume 9394, Human Vision and Electronic Imaging XX; 93941K (2015)
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Traditional Low Dynamic Range (LDR) color spaces encode a small fraction of the visible color gamut, which does not encompass the range of colors produced on upcoming High Dynamic Range (HDR) displays. Future imaging systems will require encoding much wider color gamut and luminance range. Such wide color gamut can be represented using floating point HDR pixel values but those are inefficient to encode. They also lack perceptual uniformity of the luminance and color distribution, which is provided (in approximation) by most LDR color spaces. Therefore, there is a need to devise an efficient, perceptually uniform and integer valued representation for high dynamic range pixel values. In this paper we evaluate several methods for encoding colour HDR pixel values, in particular for use in image and video compression. Unlike other studies we test both luminance and color difference encoding in a rigorous 4AFC threshold experiments to determine the minimum bit-depth required. Results show that the Perceptual Quantizer (PQ) encoding provides the best perceptual uniformity in the considered luminance range, however the gain in bit-depth is rather modest. More significant difference can be observed between color difference encoding schemes, from which YDuDv encoding seems to be the most efficient.
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Ronan Boitard, Rafal K. Mantiuk, and Tania Pouli "Evaluation of color encodings for high dynamic range pixels", Proc. SPIE 9394, Human Vision and Electronic Imaging XX, 93941K (17 March 2015);


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