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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.15.096.3928

Autorzy

Volodymyr Fedak
Computer System And Automatics, Lviv Polytechnic National University
Wszystkie publikacje autora →

Tytuły

Adaptive wavelet thresholding for image denoising using sure
minimization and clustering of wavelet coefficients

Abstrakt

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.

Bibliografia


Informacje

Informacje: Czasopismo Techniczne, 2015, Elektrotechnika Zeszyt 2-E (13) 2015, s. 197 - 210

Typ artykułu: Oryginalny artykuł naukowy

Tytuły:

Polski:

Adaptive wavelet thresholding for image denoising using sure
minimization and clustering of wavelet coefficients

Angielski:

Adaptive wavelet thresholding for image denoising using sure
minimization and clustering of wavelet coefficients

Autorzy

Computer System And Automatics, Lviv Polytechnic National University

Publikacja: 08.02.2016

Status artykułu: Otwarte __T_UNLOCK

Licencja: Żadna

Udział procentowy autorów:

Volodymyr Fedak (Autor) - 100%

Korekty artykułu:

-

Języki publikacji:

Angielski