Wavelet-domain algorithm for denoising in the presence of noise outliers

Michael E. Zervakis, Vijay Sundararajan, Keshab K. Parhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

A wavelet domain robust denoising algorithm is presented, which efficiently removes both Gaussian as well as Gaussian mixed with impulse noise. Several wavelet domain operators are developed which help in the denoising process. The superiority of the new algorithm is firmly established by simulation over a variety of images.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE Comp Soc
Pages632-635
Number of pages4
Volume1
StatePublished - Dec 1 1997
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: Oct 26 1997Oct 29 1997

Other

OtherProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period10/26/9710/29/97

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