Title :
Rate-distortion Optimized Trellis-Coded Quantization
Author :
Jiang, Wei ; Sun, Jun ; Wang, Jia
Author_Institution :
Shanghai Jiao Tong Univ., Shanghai
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;
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
DOI :
10.1109/ICME.2007.4284688
