Optimized multiple description lattice vector quantization for wavelet image coding

作     者：Bai, Huihui Zhu, Ce Zhao, Yao 

作者机构：Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY》 (IEEE Trans Circuits Syst Video Technol)

年 卷 期：2007年第17卷第7期

页      面：912-917页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：Specialized Research Foundation of BJTU Specialized Research Fund for the Doctoral Program of Higher Education, Program for New Century Excellent Talents in University National Natural Science Foundation of China, NSFC, (60373028, 90604032) National Key Research and Development Program of China, NKRDPC, (2006CB303104) 

主　　题：image coding lattice vector quantization multiple description (MD) coding wavelet transform 

摘      要：Multiple description (MD) coding is a promising alternative for robust transmission of information over non-prioritized and unpredictable networks. In this paper, an effective MD image coding scheme is introduced based on the MD lattice vector quantization (MDLVQ) for the wavelet transformed images. In view of the characteristics of wavelet coefficients in different frequency subbands, MDLVQ is applied in an optimized way, including an appropriate construction of wavelet coefficient vectors, the optimization of MDLVQ encoding parameters such as the choice of sublattice index values and the quantization accuracy for different subbands. More importantly, optimized side decoding is employed to predict lost information based on inter-vector correlation and an alternative transmission way for further reducing side distortion. Experimental results validate the effectiveness of the proposed scheme with better performance than some other tested MD image codecs including that based on optimized MD scalar quantization.