DocumentCode :
304775
Title :
Smoothness-constrained wavelet image compression
Author :
Carey, W. Knon ; Hemami, Sheila S. ; Heller, Peter N.
Author_Institution :
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
Volume :
1
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
569
Abstract :
The uniform quantizers used in typical wavelet image compression algorithms can introduce perceptually disturbing artifacts by decreasing visual smoothness. In this paper, we use local Holder regularity to quantify changes in visual smoothness and propose a modified quantization scheme which constrains local regularity decreases. The reconstructed images show a significant perceptual improvement as well as an increased PSNR
Keywords :
data compression; image coding; image reconstruction; quantisation (signal); smoothing methods; transform coding; visual perception; wavelet transforms; increased PSNR; local Holder regularity; modified quantization scheme; perceptually disturbing artifacts; reconstructed images; smoothness-constrained quantisation; uniform quantizers; visual smoothness; wavelet image compression; Algorithm design and analysis; Bit rate; Compression algorithms; Continuous wavelet transforms; Image coding; Image reconstruction; PSNR; Quantization; Wavelet coefficients; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560923
Filename :
560923
Link To Document :
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