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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2012 Vol.4(2): 266-269 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.463

Image Denoising Based on Compressed Sensing

Amin Tavakoli and Ali Pourmohammad, Member, IACSIT

Abstract—This paper presents a new approach for imaged noising based on compressed sensing. In this method, an unknown noisy image of interest is observed (sensed) through a limited number linear functional in random projection, the noriginal image is reconstructed using the observation vector and the existed recovery algorithms such as L1_minimization. Simulation results inform this method is an efficient method for image denoising.

Index Terms—Noise reduction, image processing, imaged noising, compressed sensing.

The authors are with the Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran 15914, Iran (e-mails: amintavakoli61@gmail.com, pourmohammad@aut.ac.ir, tel.: +98 2164543392, fax: +98 21 66406469).


Cite: Amin Tavakoli and Ali Pourmohammad, "Image Denoising Based on Compressed Sensing," International Journal of Computer Theory and Engineering vol. 4, no. 2, pp.  266-269, 2012.

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