31 July 2006 On dead-zone plus uniform threshold scalar quantization
Author Affiliations +
Proceedings Volume 5960, Visual Communications and Image Processing 2005; 596033 (2006) https://doi.org/10.1117/12.631550
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
This paper studies the rate-distortion performance of symmetric scalar quantizers to extend previous work published by the first author. We first provide a theoretical analysis of dead-zone plus uniform threshold quantization (DZ+UTQ) for nearly-uniform-reconstruction quantization (NURQ). The quantization performance is particularly investigated for Generalized Gaussian (such as Laplacian and Gaussian) sources using the squared-error distortion measure. According to the analysis, we note that the rate-distortion optimized quantizer is DZ+UTQ with NURQ for Laplacian sources, and is very similar to a DZ+UTQ for a uniform reconstruction quantizer (URQ). We further provide theoretical analysis of rate-distortion constrained DZ+UTQ with NURQ and URQ to cover other Generalized Gaussian sources and give the rate-distortion performance comparison theoretically between NURQ and URQ for DZ+UTQ. We conclude that a URQ is a near-optimal reconstruction rule for many sources, and that a DZ+UTQ classification rule is an effective classifier for it. URQ can be considered as a sub-optimal case of NURQ; the advantage of URQ being its simpler reconstruction rule. Based on the theoretical findings, a new DZ+UTQ quantization rounding technique for URQ is developed and integrated into recent H.264/AVC reference software to improve its encoding performance. Up to 1.0 dB performance improvement is observed, particularly in the very high bit rate range.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gary J. Sullivan, Gary J. Sullivan, Shijun Sun, Shijun Sun, } "On dead-zone plus uniform threshold scalar quantization", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596033 (31 July 2006); doi: 10.1117/12.631550; https://doi.org/10.1117/12.631550

Back to Top