International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 59 - Number 2 |
Year of Publication: 2012 |
Authors: Wael Khedr, Rehab Ali, Fawzan Ismail |
10.5120/9521-3926 |
Wael Khedr, Rehab Ali, Fawzan Ismail . Image Denoising using K-SVD Algorithm based on Gabor Wavelet Dictionary. International Journal of Computer Applications. 59, 2 ( December 2012), 30-33. DOI=10.5120/9521-3926
Image denoising problem can be addressed as an inverse problem. One of the most recent approaches to solve an inverse problem is a sparse decomposition over overcomplete dictionaries. In sparse representation, images are represented as a linear combination of dictionary atoms. In this paper, we propose an algorithm for image denoising based on Orthogonal Matching Pursuit (OMP) for determining sparse representation over Gabor Wavelet adaptive dictionary by K-SVD algorithm. The results of this algorithm have more efficiency of image recovery than using DCT dictionary.