Sparse DP Quantization Algorithm

Author:

BANDOH Yukihiro1,TAKAMURA Seishi1,SHIMIZU Atsushi1

Affiliation:

1. NTT Media Interigence Laboratories, NTT Corporation

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Reference21 articles.

1. [1] R.M. Gray and D.L. Neuhoff, “Quantization,” IEEE Trans. Inf. Theory, vol.44, no.6, pp.2325-2383, Oct. 1998. 10.1109/18.720541

2. [2] E. Reinhard, G. Ward, S. Pattanaik, P. Debevec, W. Heidrich, and K. Myszkowski, High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting, Morgan Kaufmann Publisher, 2010. 10.1016/B978-0-12-585263-0.X5000-3

3. [3] E. François, D. Rusanovskyy, P. Yin, P. Topiwala, G. Sullivan, and M. Naccari, “Signalling, backward compatibility and display adaptation for HDR/WCG video coding,” draft 1. ISO/IEC JTC1/SC29/WG11/N16508, Oct. 2016.

4. [4] J. Boyce, Y. Ye, J. Chen, and A. Ramasubramonian, “Overview of SHVC: Scalable extensions of the high efficiency video coding standard,” IEEE Trans. Circuits Syst. Video Technol., vol.26, no.1, pp.20-34, 2016. 10.1109/tcsvt.2015.2461951

5. [5] ISO/IEC 18477-2:2016: Information technology: Scalable compression and coding of continuous-tone still images-Part 2: Coding of high dynamic range images, 2016.

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1. Multi-Layered DP Quantization Algorithm;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2020-12-01

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