Denoising images using wavelet transform

Research output: Contribution to conferencePaper

17 Citations (Scopus)

Abstract

The wavelet transform has become a tool and popular in many applications including in image processing, especially in removing noise from images. This paper presents a modified Donoho's thresholding for denoising images. The simulation results showed that modified thresholding is superior in term of PSNR compared to Donoho's thresholding.

Original languageEnglish
Pages83-85
Number of pages3
Publication statusPublished - 1 Dec 1999
EventProceedings of the 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'99) - Victoria, BC, USA
Duration: 22 Aug 199924 Aug 1999

Conference

ConferenceProceedings of the 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'99)
CityVictoria, BC, USA
Period22/08/9924/08/99

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    Gunawan, D. (1999). Denoising images using wavelet transform. 83-85. Paper presented at Proceedings of the 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'99), Victoria, BC, USA, .