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https://idr.l4.nitk.ac.in/jspui/handle/123456789/16114
Title: | Despeckling of Sar Images Using Shrinkage of Two-Dimensional Discrete Orthonormal S-Transform |
Authors: | Kamath P.R. Senapati K. Jidesh P. |
Issue Date: | 2020 |
Citation: | International Journal of Image and Graphics , Vol. , , p. - |
Abstract: | Speckles are inherent to SAR. They hide and undermine several relevant information contained in the SAR images. In this paper, a despeckling algorithm using the shrinkage of two-dimensional discrete orthonormal S-transform (2D-DOST) coefficients in the transform domain along with shock filter is proposed. Also, an attempt has been made as a post-processing step to preserve the edges and other details while removing the speckle. The proposed strategy involves decomposing the SAR image into low and high-frequency components and processing them separately. A shock filter is used to smooth out the small variations in low-frequency components, and the high-frequency components are treated with a shrinkage of 2D-DOST coefficients. The edges, for enhancement, are detected using a ratio-based edge detection algorithm. The proposed method is tested, verified, and compared with some well-known models on C-band and X-band SAR images. A detailed experimental analysis is illustrated. © 2021 World Scientific Publishing Company. |
URI: | https://doi.org/10.1142/S0219467821500236 http://idr.nitk.ac.in/jspui/handle/123456789/16114 |
Appears in Collections: | 1. Journal Articles |
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