NDLI: Out-of-focus blur estimation for blind image deconvolution: Using particle swarm optimization

Content Provider	IEEE Xplore Digital Library
Author	Tsung-Ying Sun Sin-Jhe Ciou Chan-Cheng Liu Chih-Li Huo
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering, National Dong Hwa University, Hualien, Taiwan (Tsung-Ying Sun; Sin-Jhe Ciou; Chan-Cheng Liu; Chih-Li Huo)
Abstract	This study addresses the blind image deconvolution which uses only blurred image and less point spread function (PSF) information to restore the original image. To identify the blind image it is a very important step for restoring the image. Therefore, the first step is to look for PSF model. In this paper, particle swarm optimization (PSO) is utilized to seek the unknown PSF. The objective function is based on the wavelet transform. It can identify the parameters of PSF exactly. Finally, the feasibility and validity of proposed algorithm are demonstrated by several simulations.
Starting Page	1627
Ending Page	1632
File Size	648231
Page Count	6
File Format	PDF
ISBN	9781424427932
ISSN	1062922X
DOI	10.1109/ICSMC.2009.5346769
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deconvolution Particle swarm optimization Image restoration Wavelet transforms Layout Cybernetics USA Councils Sun Learning Adaptive filters wavelet transform out of focus blind image deconvolution point spread function particle swarm optimization Wiener filter
Content Type	Text
Resource Type	Article

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