Title :
Two-Stage Diversity-Based Multiple Description Image Coding
Author :
Lin, Chunyu ; Zhao, Yao ; Zhu, Ce
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing
fDate :
6/30/1905 12:00:00 AM
Abstract :
In this letter, a diversity-based two-description image coding scheme is firstly presented and analyzed, for which a two-stage coding is introduced to facilitate the tuning of central/side distortion tradeoff. By subsampling the central decoded errors from the first stage to constitute the second part for each description, respectively, we show that not only the central distortion but also the side distortion can be reduced with the second stage information. We further generalize the proposed scheme to 4-description coding. Experiment results demonstrate that the proposed scheme outperforms the state-of-the-art techniques in terms of both central and side coding performance.
Keywords :
image coding; image sampling; central decoded error; central/side distortion tradeoff; diversity-based two-description image coding scheme; image sampling; state-of-the-art technique; Decoding; Image analysis; Image coding; Image reconstruction; Information science; Lattices; Pairwise error probability; Speech coding; Vector quantization; Diversity coding; image compression; multiple description coding;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2008.2005044