Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/36888
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dc.contributor.authorZhang, Xiaobo-
dc.date.accessioned2016-11-08T07:38:38Z-
dc.date.available2016-11-08T07:38:38Z-
dc.date.issued2016-11-
dc.identifier.issn0975-1084 (Online); 0022-4456 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/36888-
dc.description687-690en_US
dc.description.abstractThis paper presents a new image denoising algorithm based on local variance estimation. In the process of denoising, the Wiener filter is used to remove the noise component of the dual-tree complex wavelet transform (DT-CWT) coefficients. The variances of noise-free coefficients are estimated by the DT-CWT coefficients transformed by modified thresholding. The tests show that the proposed method has better performance compared to the related algorithms.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceJSIR Vol.75(11) [November 2016]en_US
dc.subjectImage denoisingen_US
dc.subjectDual-tree complex wavelet transform (DT-CWT)en_US
dc.subjectWiener filteren_US
dc.subjectThresholdingen_US
dc.titleImage Denoising Using Dual-tree Complex Wavelet Transform and Wiener Filter with Modified Thresholdingen_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.75(11) [November 2016]

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