A Subspace Approach for Restoring Image Corrupted by White Noise

Yahya, Norashikin and Kamel , Nidal and Malik, Aamir Saeed (2010) A Subspace Approach for Restoring Image Corrupted by White Noise. In: Asia Pacific Conf. on Circuits and Systems , 6-9 December 2010, Kuala Lumpur.

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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.

Item Type:Conference or Workshop Item (Paper)
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Research Institutes > Institute for Health Analytics
ID Code:4488
Deposited By: Dr Aamir Saeed Malik
Deposited On:08 Mar 2011 13:16
Last Modified:19 Jan 2017 08:23

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