Wavelet-based color image denoising

Author

Thomas, Bruce A. ; Rodríguez, Jeflrey J.

Author_Institution

Sierra Imaging Inc., Scotts Valley, CA, USA

Volume

2

fYear

2000

fDate

10-13 Sept. 2000

Firstpage

804

Abstract

This paper introduces a new approach to color image denoising that exploits scale-specific, cross-component edge correspondences inherent in color image data. Processing takes place in the wavelet transform modulus maxima domain wherein image data is represented in terms of a set of multiscale edgemaps. Denoising is accomplished by building noise suppression masks which discriminate noise related edges from physically significant edges. Experimental results show that the new approach outperforms wavelet thresholding in images containing irregular textures.

Keywords

image colour analysis; image representation; image texture; noise; wavelet transforms; color image data; cross-component edge correspondences; image data representation; image processing; irregular textures; multiscale edgemaps; noise suppression masks; scale-specific edge correspondences; wavelet thresholding; wavelet transform modulus maxima domain; wavelet-based color image denoising; Additive noise; Colored noise; Degradation; Gaussian noise; Image analysis; Image color analysis; Image storage; Noise reduction; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC, Canada

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899831

Filename

899831