A Subspace Approach for Restoring Image Corrupted by White Noise

Yahya, Norashikin and Kamel , Nidal and Malik, Aamir Saeed (2011) A Subspace Approach for Restoring Image Corrupted by White Noise. In: Asia Pacific Conf. on Circuits and Systems (APCCAS 2010), 6th – 9th December 2010, Kuala Lumpur, Malaysia.

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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:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
ID Code:5779
Deposited By: Ms Norashikin Yahya
Deposited On:14 Jun 2011 13:02
Last Modified:28 Mar 2014 10:55

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