DocumentCode :
350681
Title :
Least squares approach for lossless image coding
Author :
Ye, Hua ; Deng, Guang ; Devlin, John C.
Author_Institution :
Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
63
Abstract :
The least squares (LS) approach-a powerful tool for estimation is incorporated into a predictive lossless image compression algorithm and is proven very effective in reducing the prediction error. Based on the observation that sometimes LS has also limitations, a scheme which adaptively combines the LS-based prediction with a simpler prediction is proposed. Experiments show that the proposed algorithm can further improve the performance of the LS approach. The compression performance of the proposed technique is the same as that of TMW, the best published technique for lossless image coding. However, in reaching this, this technique requires much less computation than TMW
Keywords :
computational complexity; data compression; image coding; least squares approximations; prediction theory; least squares approach; lossless image coding; prediction error reduction; predictive lossless image compression algorithm; Australia; Computational complexity; Image coding; Least squares approximation; Least squares methods; Performance loss; Pixel; Power engineering and energy; Signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
1-86435-451-8
Type :
conf
DOI :
10.1109/ISSPA.1999.818113
Filename :
818113
Link To Document :
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