Prospect of steins unbiased risk estimate as objective function for parameter optimization in image denoising algorithms: a case study on Gaussian smoothing kernel

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dc.contributor.author Simi, V. R
dc.contributor.author Edla, Damodar Reddy
dc.contributor.author Joseph, Justin
dc.contributor.author Kuppili, Venkatanareshbabu
dc.contributor.other 2019 International Conference on Data Science and Engineering (ICDSE)
dc.coverage.spatial Patna, IN
dc.date.accessioned 2020-03-07T14:28:16Z
dc.date.available 2020-03-07T14:28:16Z
dc.date.issued 26-09-19
dc.identifier.citation Simi, V. R; Edla, Damodar Reddy; Joseph, Justin and Kuppili, Venkatanareshbabu, "Prospect of steins unbiased risk estimate as objective function for parameter optimization in image denoising algorithms: a case study on Gaussian smoothing kernel", in the 2019 International Conference on Data Science and Engineering (ICDSE), Patna, IN, Sep. 26-28, 2019. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/5211
dc.description.statementofresponsibility by V. R. Simi, Damodar Reddy Edla, Justin Joseph and Venkatanareshbabu Kuppili
dc.language.iso en_US en_US
dc.title Prospect of steins unbiased risk estimate as objective function for parameter optimization in image denoising algorithms: a case study on Gaussian smoothing kernel en_US
dc.type Article en_US


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