Adaptive shrinkage algorithm for ringing suppression with smoothness constraint

Ngai Fong Law, Wan Chi Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


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.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Number of pages5
Publication statusPublished - 1 Dec 1999
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Japan
Duration: 24 Oct 199928 Oct 1999


ConferenceInternational Conference on Image Processing (ICIP'99)

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering


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