Rate-distortion performance of resolution-constrained quantization combined with lossless coding

IEICE Electronics Express

Jongwook Lim¹  Moo Young Kim¹  Yoon Joo Lee¹ 

[1] Human Computer Interaction Lab., Dept. Information Communication Eng. Sejong University

关键词: source coding;    resolution-constrained quantization;    entropy-constrained quantization;    lossless coding;    high-rate theory;   

DOI  :  10.1587/elex.6.1542

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(5)We investigate the theoretical and practical rate-distortion (R-D) performance of resolution-constrained quantization (RCQ) combined with lossless coding (RCQ+). Based on the high-rate theory, the required rate difference between RCQ and RCQ+, at a given mean distortion, is found to be the Kullback-Leibler distance (KLD) between the source probability density function (PDF) and its rateless centroid density function. Thus, the rate reduction in RCQ+ is diminished as vector dimensionality increases or as the source PDF approaches uniform density. In the experiments with Gaussian data, the R-D performance of high-rate derivation is verified. Huffman coding is implemented on top of the conventional RCQ methods such as ITU-T G.711 and G.722.2 speech coders, and the rate reduction with RCQ+ is found to be decreased for lower values of the KLD.

【 授权许可】

Unknown