Lossless coding of HDR color images in a floating point format using block-adaptive prediction with exponent equalization

Yuya Kamataki; Yusuke Kameda; Ichiro Matsuda; Susumu Itoh

doi:10.1117/12.2567005

1 June 2020 Lossless coding of HDR color images in a floating point format using block-adaptive prediction with exponent equalization

Yuya Kamataki, Yusuke Kameda, Ichiro Matsuda, Susumu Itoh

Author Affiliations +

Proceedings Volume 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020; 115150W (2020) https://doi.org/10.1117/12.2567005
Event: International Workshop on Advanced Imaging Technologies 2020 (IWAIT 2020), 2020, Yogyakarta, Indonesia

Abstract

This paper describes an efficient lossless coding method for HDR color images stored in a floating point format called radiance RGBE. In this method, three mantissa parts of RGB components as well as a common exponent part, each of which is represented in 8-bit depth, are encoded by the block-adaptive prediction technique. In order to improve the prediction accuracy, mantissa parts of RGB components used in the prediction are adjusted so that their exponent parts can be regarded as same. Moreover, not only the same color but also already encoded other color components are used in the prediction to exploit inter-color correlations. Simulation results indicate that introduction of the above exponent equalization as well as inter-color prediction can considerably improve the coding efficiency.

Citation Download Citation

Yuya Kamataki, Yusuke Kameda, Ichiro Matsuda, and Susumu Itoh "Lossless coding of HDR color images in a floating point format using block-adaptive prediction with exponent equalization", Proc. SPIE 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020, 115150W (1 June 2020); https://doi.org/10.1117/12.2567005

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