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Context-based inverse quantization and its application in wavelet image compression

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5 Author(s)
Jicheng An ; Coll. of Inf. Sci. & Eng., Central South Univ., Changsha, China ; Zixing Cai ; Quqing Chen ; Zhibo Chen
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In this paper, we propose a context-based inverse quantization and show its application in wavelet image compression. The proposed method breaks the traditional one-to-one mapping of the quantization index to reconstruction value in inverse quantization while maps an index to several different reconstruction values according to the corresponding contexts of the index. By accurate context modeling, this method can reduce the quantization distortion significantly. Since the quantization indices used for encoding is not changed, this method does not increase the encoding bit rates except the negligible overhead.

Published in:

Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on

Date of Conference:

24-27 May 2009