Efficient wavelet-based image denoising algorithm

Z. Cai, T. H. Cheng, Chao Lu, K. R. Subramanian

Research output: Journal article publicationJournal articleAcademic researchpeer-review

52 Citations (Scopus)

Abstract

Characterising the statistics of wavelet coefficients is a critical issue in image compression and denoising. Many powerful approaches have been investigated, but accurate modelling suffers from high computation complexity. In this work an efficient adaptive algorithm to capture the dependency of both inner and inter scale wavelet coefficients is proposed. Experimental results show that compared with the algorithm in [3], in the case of higher noise variance, greater PSNR performance gain may be obtained.
Original languageEnglish
Pages (from-to)683-685
Number of pages3
JournalElectronics Letters
Volume37
Issue number11
DOIs
Publication statusPublished - 24 May 2001
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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