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Research Article
Algorithm for Speckle Lessening and Image Improvement in SAR Images Using Wavelet Transforms
BELAVANAKI VIJAYA1
SATHISHA NAGARAGHATTA NS2
12Asst Prof, Dept. of CSE, B.V. Bhoomaraddi College of Technology, Karnataka, India.
Published Online: November-December 2021
Pages: 01-03
Cite this article
No DOIReferences
[1] D.L. Donoho and John stone, Ideal spatial adaptation via wavelet shrinkage, Biometrika Vol. 81, pp425-455, 1994.
[2] D L Donoho, Denoising by soft thresholding, IEEE trans. In information theory, 41 (3), pp613-627, 1995
[3] SGMallat A theory of multiresolution signal decomposition; the wavelet representation, IEEE trans. On pattern analysis and machine intelligence, II(7),pp674- 693, 1989
[4] Goodman. J. W, Some fundamental properties of speckle, Journal of the optical society of America, II pp1103-1109,1976
[5] J.S.Lee, speckle analysis and smoothing of Synthetic aperture radar images, computer graphics, image processing, 16(4),pp24-32, 1981.
[6] Cohen. A, and Kovacevic, J, Wavelets: the mathematical background, Proceedings of IEEE 84, pp514-522, 1996
[2] D L Donoho, Denoising by soft thresholding, IEEE trans. In information theory, 41 (3), pp613-627, 1995
[3] SGMallat A theory of multiresolution signal decomposition; the wavelet representation, IEEE trans. On pattern analysis and machine intelligence, II(7),pp674- 693, 1989
[4] Goodman. J. W, Some fundamental properties of speckle, Journal of the optical society of America, II pp1103-1109,1976
[5] J.S.Lee, speckle analysis and smoothing of Synthetic aperture radar images, computer graphics, image processing, 16(4),pp24-32, 1981.
[6] Cohen. A, and Kovacevic, J, Wavelets: the mathematical background, Proceedings of IEEE 84, pp514-522, 1996
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