A New Interscale and Intrascale Orthonormal Wavelet Thresholding for SURE-Based Image Denoising

Author

Yan, Fengxia ; Cheng, Lizhi ; Peng, Silong

Author_Institution

Nat. Univ. of Defense Technol., Changsha

Volume

15

fYear

2008

fDate

6/30/1905 12:00:00 AM

Firstpage

139

Lastpage

142

Abstract

The interscale Stein´s unbiased risk estimator (SURE)-based approach introduced by Luisier is a recent state of the art in orthonormal wavelet denoising, but it is not very effective for those images that have substantial high-frequency contents. To solve this problem, we introduce an effective integration of the intrascale correlations within the interscale SURE-based approach. We show that the consideration of both the intrascale and interscale dependencies of wavelet coefficients brings more denoising gains than those obtained with the interscale SURE-based approach, especially for denoising of images that have substantial textures such as the Barbara image.

Keywords

image denoising; image texture; wavelet transforms; Barbara image; SURE-based image denoising; Stein unbiased risk estimator; image textures; interscale orthonormal wavelet thresholding; intrascale orthonormal wavelet thresholding; Adaptive algorithm; Computer vision; Image denoising; Image processing; Noise reduction; Propagation delay; Signal processing algorithms; State estimation; Wavelet coefficients; Wavelet transforms; Image denoising; Stein´s unbiased risk estimator (SURE) minimization; intrascale and interscale dependencies;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2007.914790

Filename

4439732