Denoising Images using Wiener Filter in Directionalet Domain

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International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)

Sydney Australia

November 28-December 01

ISBN: 0-7695-2731-0

	ASCII Text	x
	Zhenjian Wang, Changwen Qu, Lei Cui, "Denoising Images using Wiener Filter in Directionalet Domain," Computational Intelligence for Modelling, Control and Automation, International Conference on, pp. 228, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006.

	BibTex	x
	@article{ 10.1109/CIMCA.2006.80, author = {Zhenjian Wang and Changwen Qu and Lei Cui}, title = {Denoising Images using Wiener Filter in Directionalet Domain}, journal ={Computational Intelligence for Modelling, Control and Automation, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2731-0}, pages = {228}, doi = {http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.80}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computational Intelligence for Modelling, Control and Automation, International Conference on TI - Denoising Images using Wiener Filter in Directionalet Domain SN - 0-7695-2731-0 SP EP A1 - Zhenjian Wang, A1 - Changwen Qu, A1 - Lei Cui, PY - 2006 KW - null VL - 0 JA - Computational Intelligence for Modelling, Control and Automation, International Conference on ER -

Zhenjian Wang, Ludong University,ShandongYantai

Changwen Qu, Naval Aeronautical Engineering Institute,

Lei Cui, Naval Aeronautical Engineering Institute,

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.80

An algorithm for denoising image based on directionalet is proposed, and in each high-frequency subbands, adaptive Wiener filtering (window size 1? 25 ) is performed. Then, the denoised image is obtained by reconstruction from the filtered coefficients. At last, all directional sub-images are averaged.. The experiments results showed that this method outperforms Wiener filtering in standard 2-D wavelet domain. The SNR is improved 1~3d

Citation:

Zhenjian Wang, Changwen Qu, Lei Cui, "Denoising Images using Wiener Filter in Directionalet Domain," cimca, pp.228, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006

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