Abstract
This paper proposes a novel filtering method for removing such speckle noise from Synthetic Aperture Radar image that combines the Stationary Tree-structured Wavelet Transform (STWT) with a Bayesian wavelet estimator. Experimental results on several test images by using the proposed method show that, the proposed method yields significantly superior image quality and better Peak Signal to Noise Ratio (PSNR).
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© 2006 Springer-Verlag Berlin Heidelberg
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Li, Y., Yang, J., Sun, L., Zhang, Y. (2006). SAR Speckle Reduction Based on Undecimated Tree-Structured Wavelet Transform. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_88
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DOI: https://doi.org/10.1007/11881223_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45907-1
Online ISBN: 978-3-540-45909-5
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