Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/16114
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dc.contributor.authorKamath P.R.
dc.contributor.authorSenapati K.
dc.contributor.authorJidesh P.
dc.date.accessioned2021-05-05T10:29:49Z-
dc.date.available2021-05-05T10:29:49Z-
dc.date.issued2020
dc.identifier.citationInternational Journal of Image and Graphics , Vol. , , p. -en_US
dc.identifier.urihttps://doi.org/10.1142/S0219467821500236
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/16114-
dc.description.abstractSpeckles 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.titleDespeckling of Sar Images Using Shrinkage of Two-Dimensional Discrete Orthonormal S-Transformen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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