NDLI: A new color image regularization scheme for blind image deconvolution

Content Provider	IEEE Xplore Digital Library
Author	Yu He Kim-Hui Yap Li Chen Lap-Pui Chau
Copyright Year	2008
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore (Yu He; Kim-Hui Yap; Li Chen; Lap-Pui Chau)
Abstract	This paper proposes a new regularization scheme to address blind color image deconvolution. Conventional blind monochromatic image deconvolution algorithms handle each color channel independently, thereby ignoring the inter-channel correlation present in the color images. Further, most existing blind color deconvolution algorithms do not take the parametric information of the blurs into consideration. In view of these, a regularization scheme is proposed to perform blind color image deconvolution. A new regularization operator is developed in the blur domain. A reinforcement blur modeling scheme is adopted to evaluate the relevance of manifold parametric blur structures, and the information is integrated into the deconvolution scheme. In addition, a regularization scheme for image is developed to recover edges of color images and reduce color artifacts. Experimental results show that the method is able to achieve satisfactory restored color images under noisy environment.
Starting Page	1253
Ending Page	1256
File Size	306386
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4517844
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Color Deconvolution Image restoration Colored noise Stochastic processes Helium Vision defects Working environment noise Gradient methods Diffraction image regularization Color image deconvolution conjugate gradient methods
Content Type	Text
Resource Type	Article

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