Adaptive principal components and image denoising

D. Darian Muresan; Thomas W. Parks

Adaptive principal components and image denoising

D. Darian Muresan, Thomas W. Parks

Cornell University

Research output: Contribution to conference › Paper › peer-review

214 Scopus citations

Abstract

This paper presents a novel approach to image denoising using adaptive principal components, Our assumptions are that the image is corrupted by additive white Gaussian noise. The new denoising technique performs well in terms of image visual fidelity, and in terms of PSNR values, the new technique compares very well against some of the most recently published denoising algorithms.

Original language	English
Pages	101-104
Number of pages	4
State	Published - 2003
Event	Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Duration: 14 Sep 2003 → 17 Sep 2003

Conference

Conference	Proceedings: 2003 International Conference on Image Processing, ICIP-2003
Country/Territory	Spain
City	Barcelona
Period	14/09/03 → 17/09/03

Cite this

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Adaptive principal components and image denoising

Abstract

Conference

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