A joint filtering based SVD technique for image de-noising

Aris, Marjuni and Ahmad Fauzi, Mohammad Faizal and Heng, Swee-Huay and Rajasvaran, Logeswaran (2012) A joint filtering based SVD technique for image de-noising. In: 2012 IEEE Symposium on Computers & Informatics (ISCI). IEEE Xplore, pp. 237-240. ISBN 978-1-4673-1685-9

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Official URL: http://dx.doi.org/10.1109/ISCI.2012.6222701

Abstract

Image de-noising is an important part of image enhancement. This paper proposes an image de-noising technique on the singular value decomposition (SVD) using a combination of the signal-to-noise ratio (SNR) and median of noised image as a filtering function for singular values replacement. The signal noise is assumed to be an additive white Gaussian noise. Experimental results show that the proposed method is able to successfully enhance the visual quality of noisy images through this low complexity de-noising process.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 08 Jan 2014 02:51
Last Modified: 10 Jul 2014 05:48
URI: http://shdl.mmu.edu.my/id/eprint/4739

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