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DC Field | Value | Language |
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dc.contributor.author | Kamath P.R. | |
dc.contributor.author | Senapati K. | |
dc.contributor.author | Jidesh P. | |
dc.date.accessioned | 2021-05-05T10:29:49Z | - |
dc.date.available | 2021-05-05T10:29:49Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | International Journal of Image and Graphics , Vol. , , p. - | en_US |
dc.identifier.uri | https://doi.org/10.1142/S0219467821500236 | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/16114 | - |
dc.description.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. | en_US |
dc.title | Despeckling of Sar Images Using Shrinkage of Two-Dimensional Discrete Orthonormal S-Transform | en_US |
dc.type | Article | en_US |
Appears in Collections: | 1. Journal Articles |
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