DocumentCode :
2252968
Title :
Context-based inverse quantization and its application in wavelet image compression
Author :
An, Jicheng ; Cai, Zixing ; Chen, Quqing ; Chen, Zhibo ; Teng, Jun
Author_Institution :
Coll. of Inf. Sci. & Eng., Central South Univ., Changsha, China
fYear :
2009
fDate :
24-27 May 2009
Firstpage :
613
Lastpage :
616
Abstract :
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.
Keywords :
data compression; image coding; image reconstruction; quantisation (signal); wavelet transforms; context-based inverse quantization index; encoding bit rate; image coding; image reconstruction value; wavelet image compression; Bit rate; Context modeling; Educational institutions; Entropy; Image coding; Image reconstruction; Information science; Predistortion; Probability distribution; Quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-3827-3
Electronic_ISBN :
978-1-4244-3828-0
Type :
conf
DOI :
10.1109/ISCAS.2009.5117823
Filename :
5117823
Link To Document :
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