DocumentCode :
350284
Title :
Adaptive shrinkage algorithm for ringing suppression with smoothness constraint
Author :
Law, Ngai-Fong ; Siu, Wan-chi
Author_Institution :
Centre for Multimedia Signal Process., Hong Kong Polytech., Kowloon, Hong Kong
Volume :
3
fYear :
1999
fDate :
1999
Firstpage :
364
Abstract :
A non-iterative wavelet-based algorithm was proposed to reduce the ringing artifacts associated with a lossy compressed image. The proposed algorithm is based on the fact that an increase in the magnitude of the quantized wavelet coefficients leads to a decrease in visual smoothness. Thus a shrinkage algorithm is applied to maintain visual smoothness. The proposed algorithm is, however, adaptive in nature and the amount of shrinkage depends on edge strength, region activity, and compression ratio. Experimental results have confirmed that the adaptive algorithm could suppress the ringing artifacts and improve visual smoothness, especially around edges where ringing is severe
Keywords :
data compression; image coding; quantisation (signal); wavelet transforms; adaptive shrinkage algorithm; compression ratio; edge strength; lossy compressed image; noniterative wavelet-based algorithm; quantized wavelet coefficients; region activity; ringing artifacts; ringing suppression; visual smoothness constraint; Adaptive algorithm; Adaptive signal processing; Decoding; Filters; Image coding; Quantization; Signal processing algorithms; Smoothing methods; Wavelet coefficients; Wavelet domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
Type :
conf
DOI :
10.1109/ICIP.1999.817136
Filename :
817136
Link To Document :
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