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Algorithm for Speckle Lessening and Image Improvement in SAR Images Using Wavelet Transforms
Authors
12Asst Prof, Dept. of CSE, B.V. Bhoomaraddi College of Technology, Karnataka, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 2, Issue 6 (2021)
- Published Online
- November-December 2021
- Pages
- 01-03
- Article Type
- Research Article
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- No DOI available for cross-reference
References
[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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