Speckle Noise Reduction in SAR image based on K-SVD
Liyong Ma, Hongbing Ma, Ling Liu · Advances in computer science research · 2015
This paper presents a method based on K-SVD (Singular Value Decomposition) to despeckle Synthetic Aperture Radar (SAR) image.First, we get sparse representation of a noisy image f over a fixed complete dictionary D by using Orthogonal Matching Pursuit (OMP).Then, train D on the noisy image to get a updated dictionary D' with K-SVD algorithm.Finally, reconstruct image with the new dictionary D'.Compared with traditional methods, this method is better in despeckling effect and image fidelity.