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An adaptive perceptual quantization method for HDR video coding

Abstract : This paper presents a new adaptive perceptual quantization method for the High Dynamic Range (HDR) content. This method considers the luminance distribution of the HDR image as well as the Minimum Detectable Contrast (MDC) thresholds to preserve the contrast information during quantization. Base on this method, we develop a mapping function for HDR video compression and apply it to a HEVC Main 10 Profile-based video coding chain. Our experiments show that the proposed mapping function can efficiently improve the quality of the reconstructed HDR video in both objective and subjective assessments.
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Contributor : Giuseppe Valenzise <>
Submitted on : Thursday, March 5, 2020 - 11:43:40 AM
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Yi Liu, Naty Sidaty, Wassim Hamidouche, Olivier Déforges, Giuseppe Valenzise, et al.. An adaptive perceptual quantization method for HDR video coding. IEEE International Conference on Image Processing (ICIP’2017), Sep 2017, Beijing, China. ⟨10.1109/icip.2017.8296437⟩. ⟨hal-01579536⟩



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