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Optical Engineering

Novel denoising technique based on filtering the coefficients of a redundant wavelet transform
Author(s): Puyi M. Lu; Aiko Satou; Michiko Miyamoto; Shigehito M. Suzuki
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Paper Abstract

A denoising technique based on filtering the coefficients of a redundant wavelet transform is proposed for the purpose of reducing statistical noise in images without blurring sharp edges. The wavelet coefficients in the higher-spatial-frequency components are denoised using a function that has been used in nonlinear diffusion filtering. With this function, edge and noise points were correctly distinguished. This resulted in the elimination of the wavelet coefficients at the noise points and the preservation of the wavelet coefficients at the edge points. As a result, most of the image noise was successfully eliminated without appreciable losses in the sharp edges. Thus, the denoising technique coped with both noise reduction and edge preservation.

Paper Details

Date Published: 1 April 2007
PDF: 6 pages
Opt. Eng. 46(4) 043202 doi: 10.1117/1.2719689
Published in: Optical Engineering Volume 46, Issue 4
Show Author Affiliations
Puyi M. Lu, Kitami Institute of Technology (Japan)
Aiko Satou, Kitami Institute of Technology (Japan)
Michiko Miyamoto, Kitami Institute of Technology (Japan)
Shigehito M. Suzuki, Kitami Institute of Technology (Japan)


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