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SAR image despeckling using over-complete dictionary

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2 Author(s)
M. Yang ; College of Electronics and Engineering, Nanjing University of Aeronautics and Astronautics, Yu Dao Street, Nanjing 210016, People's Republic of China ; G. Zhang

A new methodology for speckle suppression of SAR images using an over-complete dictionary is presented. The approach taken is based on sparse and redundant representations by employing a combined dictionary consisting of wavelets, shearlets and learned dictionaries. Wavelets provide sparse expansions for point-like structures, shearlets provide sparse expansions for curve-like structures, and learning dictionaries are taken as obtaining the best performance on a training set. The experimental results demonstrate that the proposed algorithm provides more effective speckle reduction as well as detail preservation.

Published in:

Electronics Letters  (Volume:48 ,  Issue: 10 )