Title :
Suppression of ringing artifacts with an adaptive shrinkage algorithm
Author :
Law, Ngai-Fong ; Siu, Wan-chi ; Feng, Degan
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Hung Hom, Hong Kong
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 increases in magnitude of the quantized wavelet coefficients lead to decreases in visual smoothness. Thus a shrinkage algorithm is applied to maintain visual smoothness. The proposed algorithm is, however, adaptive in nature, in which 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; image reconstruction; image texture; smoothing methods; transform coding; wavelet transforms; adaptive shrinkage algorithm; compression ratio; edge strength; image compression; lossy compressed image; non-iterative wavelet-based algorithm; non-texture regions; quantized wavelet coefficients; region activity; ringing artifacts suppression; texture regions; visual smoothness; Adaptive algorithm; Adaptive signal processing; Decoding; Filters; Image coding; Quantization; Signal processing algorithms; Smoothing methods; Wavelet coefficients; Wavelet domain;
Conference_Titel :
Communications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-5582-2
DOI :
10.1109/PACRIM.1999.799507