Title :
Optimized multiple description image coding using lattice vector quantization
Author :
Bai, Huihui ; Zhao, Yao ; Zhu, Ce
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ., China
Abstract :
Multiple description (MD) coding has many applications in the transmission of images over unreliable packet or multiple path networks that cannot guarantee lossless data delivery. In this paper, an effective multiple description image coding scheme is introduced. This scheme is mainly based on the wavelet transform and multiple description lattice vector quantization (MDLVQ). The characteristics of wavelet coefficients in different frequency subbands are taken into account in the design of the MD image coder with different optimized MDLVQ parameters. The experimental results are presented to demonstrate the effectiveness of the proposed scheme.
Keywords :
image coding; optimisation; vector quantisation; wavelet transforms; lattice vector quantization; multiple description image coding; multiple path networks; optimized MDLVQ parameters; unreliable packet networks; wavelet coefficient characteristics; wavelet transform; Data engineering; Frequency; Image coding; Image reconstruction; Information science; Lattices; Robustness; Vector quantization; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1465517