eprintid: 855
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/08/55
datestamp: 2023-11-09 15:49:00
lastmod: 2023-11-09 15:49:00
status_changed: 2023-11-09 15:38:36
type: conference_item
metadata_visibility: show
creators_name: Yahya, N.
creators_name: Kamel, N.S.
creators_name: Malik, A.S.
title: A subspace approach for restoring image corrupted by white noise
ispublished: pub
keywords: 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, Covariance matrix; Image reconstruction; Principal component analysis; Restoration, White noise
note: 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
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. © 2010 IEEE.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959234573&doi=10.1109%2fAPCCAS.2010.5774861&partnerID=40&md5=da9b429d4f10efbc7ffe07777ab5cf5f
id_number: 10.1109/APCCAS.2010.5774861
full_text_status: none
publication: IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
place_of_pub: Kuala Lumpur
pagerange: 128-131
refereed: TRUE
isbn: 9781424474561
citation:   Yahya, N. and Kamel, N.S. and Malik, A.S.  (2010) A subspace approach for restoring image corrupted by white noise.  In: UNSPECIFIED.