doi: 10.7763/IJCTE.2012.V4.463
Image Denoising Based on Compressed Sensing
Amin Tavakoli
,
Ali Pourmohammad
- Electrical Engineering Department, Amirkabir University of Technology, Hafez Ave., Tehran 15914, Iran.
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.
Keywords
- Noise reduction
- image processing
- imaged noising
- compressed sensing
How to 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. https://doi.org/10.7763/IJCTE.2012.V4.463
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).