TY  - CONF
SN  - 9781424474561
Y1  - 2010///
EP  - 131
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959234573&doi=10.1109%2fAPCCAS.2010.5774861&partnerID=40&md5=da9b429d4f10efbc7ffe07777ab5cf5f
A1  - Yahya, N.
A1  - Kamel, N.S.
A1  - Malik, A.S.
AV  - none
CY  - Kuala Lumpur
KW  - Additive white noise; Karhunen-Love transform; Noise covariance; Noise covariance matrix; Noise subspace; Noisy image; Orthogonal subspaces; Signal sub-space; Subspace approach; Subspace based methods; Subspace filtering; Wavelet de-noising techniques; Wiener filtering
KW  -  Covariance matrix; Image reconstruction; Principal component analysis; Restoration
KW  -  White noise
TI  - A subspace approach for restoring image corrupted by white noise
ID  - scholars855
SP  - 128
N2  - 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. © 2010 IEEE.
N1  - cited By 2; Conference of 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010 ; Conference Date: 6 December 2010 Through 9 December 2010; Conference Code:85160
ER  -