Research Article
Reduction of speckling noise of SAR Images using Dual Tree Complex Wavelet (DTCW) and Shearlet Transforms
@INPROCEEDINGS{10.4108/eai.16-5-2020.2304197, author={J. Deny and M. Sundarajan and R. Raja Sudharsan and E. Muthukumaran and B. Perumal}, title={Reduction of speckling noise of SAR Images using Dual Tree Complex Wavelet (DTCW) and Shearlet Transforms}, proceedings={Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India}, publisher={EAI}, proceedings_a={ICASISET}, year={2021}, month={1}, keywords={synthetic aperture radar (sar) speckle noise shearlet transform dtcw transform sparse coefficients}, doi={10.4108/eai.16-5-2020.2304197} }- J. Deny
M. Sundarajan
R. Raja Sudharsan
E. Muthukumaran
B. Perumal
Year: 2021
Reduction of speckling noise of SAR Images using Dual Tree Complex Wavelet (DTCW) and Shearlet Transforms
ICASISET
EAI
DOI: 10.4108/eai.16-5-2020.2304197
Abstract
The Synthetic Aperture Radar (SAR) images are difficult to interpret owing to the multiplicative speckle noise from coherent acquisition systems. Therefore, de-speckling of SAR images always plays a primary pre-processing task in SAR image processing. There are many methods using various spatial domain filters and transform domain algorithms which focus on speckle reduction but not all methods can preserve the image edge features. The article suggests a de-speckling algorithm via sparse representation using combined Shearlet Transform and DTCW transform which possess direction selectivity and shift invariant property. The experimental results, the suggested method has better PSNR, ENL, and EPI values than the existing state of art methods. The proposed methodology not only preserves the edges, also improves visual effect by enhancing the texture of SAR images.