Speckle Noise Reduction in SAR image based on K-SVD

DOI

10.2991/isci-15.2015.216How to use a DOI?

Keywords

SAR; Despeckle; Sparse Representation; Dictionary; OMP; K-SVD

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Liyong Ma
AU  - Hongbing Ma
AU  - Ling Liu
PY  - 2015/01
DA  - 2015/01
TI  - Speckle Noise Reduction in SAR image based on K-SVD
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1615
EP  - 1622
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.216
DO  - 10.2991/isci-15.2015.216
ID  - Ma2015/01
ER  -