Please use this identifier to cite or link to this item:
Title: Adaptive shrinkage algorithm for ringing suppression with smoothness constraint
Authors: Law, NF 
Siu, WC 
Issue Date: 1999
Publisher: IEEE
Source: IEEE International Conference on Image Processing, 1999, v. 3, p. 364-368 How to cite?
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.
Description: International Conference on Image Processing (ICIP'99), Kobe, Jpn, 24-28 October 1999
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Dec 3, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.