Rate-distortion Optimized Trellis-Coded Quantization

Author

Jiang, Wei ; Sun, Jun ; Wang, Jia

Author_Institution

Shanghai Jiao Tong Univ., Shanghai

fYear

2007

fDate

2-5 July 2007

Firstpage

468

Lastpage

471

Abstract

In this paper, a rate-distortion optimized trellis-coded quantization (RDOTCQ) algorithm is presented. Based on rate-distortion criterion, the proposed algorithm improves coding efficiency by adaptively optimizing quantization levels of small signals. In addition, it has no overhead and is fully compatible with the standard decoder. The proposed algorithm can be applied to any TCQ-based systems. In particular, the algorithm has been verified on the platform of the quadtree classified and trellis coded quantized (QTCQ) wavelet image compression system. Experimental results show that the proposed algorithm has a better rate-distortion performance than the QTCQ and some other compression methods.

Keywords

data compression; decoding; image coding; quadtrees; quantisation (signal); rate distortion theory; trellis codes; RDOTCQ algorithm; quadtree; rate-distortion optimized trellis-coded quantization; standard decoder; wavelet image compression system; Decoding; Image coding; Image communication; Information processing; Partitioning algorithms; Performance loss; Quantization; Rate-distortion; Sun; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2007 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

1-4244-1016-9

Electronic_ISBN

1-4244-1017-7

Type

conf

DOI

10.1109/ICME.2007.4284688

Filename

4284688