A subspace approach for restoring image corrupted by white noise

Author

Yahya, Norashikin ; Kamel, Nidal S. ; Malik, Aamir S.

Author_Institution

Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia

fYear

2010

fDate

6-9 Dec. 2010

Firstpage

128

Lastpage

131

Abstract

A new subspace approach is proposed for enhancement of image corrupted by additive white noise. In subspace filtering methods, the noisy image is decomposed into two orthogonal subspaces, a signal subspace and a noise subspace. This decomposition is possible under the assumption of a low-rank model for image and the availability of an estimate of the noise covariance matrix. It is shown in this paper that the proposed image restoration method performs better than the Wiener filtering and wavelet denoising techniques.

Keywords

Wiener filters; covariance matrices; image denoising; image enhancement; image restoration; wavelet transforms; white noise; Wiener filtering; additive white noise; image enhancement; image restoration method; low rank model; noise covariance matrix; noise subspace; noisy image; orthogonal subspace; signal subspace; subspace filtering method; wavelet denoising technique; Covariance matrix; Image restoration; Noise measurement; Noise reduction; PSNR; Speech; Karhunen-Loève transform (KLT); image restoration; noise covariance; subspace-based method;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (APCCAS), 2010 IEEE Asia Pacific Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-7454-7

Type

conf

DOI

10.1109/APCCAS.2010.5774861

Filename

5774861