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Journal Achievements of Modern Radioelectronics №6 for 2014 г.
Article in number:
Wavelet-based despeckling in SAR images without thresholding
Keywords: image processing SAR image speckle wavelet transform
Authors:
Y.S. Bekhtin - Dr. Sc. (Eng.), Professor, Department "Automation and Information Technologies in Management", Ryazan State Radio Engineering University. E-mail: yuri.bekhtin@yandex.ru
A.A. Bryantsev - Ph.D. (Eng.), Associate Professor, Department "Automation and Information Technologies in Management", Ryazan State Radio Engineering University. E-mail: druf@rambler.ru
D.P. Malebo - Post-graduate Student, Ryazan State Radio Engineering University. E-mail: malebinho20000@hotmail.com
Abstract:
The main idea of the suggested algorithmic supply applying to de-speckling in SAR images is based on combining Pearson-s IV type Distribution and Generalized Gaussian Distribution to obtain MAP-estimators of wavelet-coefficients within sub-bands of the fast wavelet transform. The estimator of the asymmetry coefficient for a subband histogram serves as an indicator to select the needed kind of distribution. The suggested method doesn-t use any thresholding technique that allows avoiding artifacts in the processed SAR image. The results of modeling have shown the advantage of the proposed algorithmic supply comparing with well-known de-speckling procedures under PSNR and SSIM criteria.
Pages: 45-52
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