Image denoising based on wavelet thresholding and Wiener filtering in the wavelet domain

Wavelet transform has become a very important tool in the field of image denoising. A wavelet transform is a localised analysis of time (space) frequency. It uses a telescopic translation operation to gradually multi-scale refine the signal function and finally adapt to time frequency. One popular a...

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Detalhes bibliográficos

Principais autores:	Wen-quan Fan, Wen-shu Xiao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2019-07-01
coleção:	The Journal of Engineering
Assuntos:	image denoising wavelet transforms Wiener filters white noise wavelet thresholding Wiener filtering wavelet domain wavelet transform time frequency telescopic translation operation multiscale refine wavelet coefficients soft threshold hard threshold grey scale images different denoising methods
Acesso em linha:	https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0194
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