Adaptive wavelet thresholding for image denoising using sure
minimization and clustering of wavelet coefficients
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Adaptive wavelet thresholding for image denoising using sure
minimization and clustering of wavelet coefficients
Data publikacji: 08.02.2016
Czasopismo Techniczne, 2015, Elektrotechnika Zeszyt 2-E (13) 2015, s. 197 - 210
https://doi.org/10.4467/2353737XCT.15.096.3928Autorzy
Adaptive wavelet thresholding for image denoising using sure
minimization and clustering of wavelet coefficients
Images and video are often coded using block-based discrete cosine transform (DCT) or discrete wavelet transform (DWT) which cause a great deal of visual distortions. In this paper, an extension of the intra-scale dependencies of wavelet coefficients is proposed to improve denoising performance. This method incorporates information on neighbouring wavelet coefficients that are inside of manually created clusters. Extensive experimental results are given to demonstrate the strength of the proposed method.
Informacje: Czasopismo Techniczne, 2015, Elektrotechnika Zeszyt 2-E (13) 2015, s. 197 - 210
Typ artykułu: Oryginalny artykuł naukowy
Tytuły:
Adaptive wavelet thresholding for image denoising using sure
minimization and clustering of wavelet coefficients
Adaptive wavelet thresholding for image denoising using sure
minimization and clustering of wavelet coefficients
Computer System And Automatics, Lviv Polytechnic National University
Publikacja: 08.02.2016
Status artykułu: Otwarte
Licencja: Żadna
Udział procentowy autorów:
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