NDLI: Dual Range Deringing for non-blind image deconvolution

Content Provider	IEEE Xplore Digital Library
Author	Le Zou Zhou, H. Cheng, S. Chuan He
Copyright Year	2010
Description	Author affiliation: School of Electrical and Computer Engineering, University of Oklahoma, USA (Cheng, S.) \|\| Institute of Oil and Gas, Peking University, China (Chuan He) \|\| Visual Computing Group, Intel Corporation, USA (Le Zou) \|\| School of Interactive Computing, Georgia Institute of Technology, USA (Zhou, H.)
Abstract	The popular Richardson-Lucy (RL) image deconvolution algorithm often produces undesirable ringing artifacts. In this paper, we propose a novel Dual Range Deringing (DRD) algorithm to address this problem. As a post-deconvolution scheme, the proposed approach follows RL deconvolution and removes ringing artifacts by utilizing information from both the input blurred image and the RL-deblurred image. DRD first marks smooth regions in the input blurred image that are likely to be subjected to ringing artifacts far away from any strong edge. It then identifies short-range ringing artifacts from the regions that surround strong edges in the RL-deblurred image. Once marked, both long- and short-range ringing artifacts are then suppressed by an edgepreserving deringing filter. We demonstrate the effectiveness of this procedure by performing experiments on a set of images blurred with various Point Spread Functions (PSFs). We compare DRD with state-of-the-art non-blind deconvolution algorithms and show that our results are virtually free of ringing artifacts with only minor detail losses. Moreover, DRD consists of computationally efficient local operations and is suitable for parallelization on modern GPUs.
Starting Page	1701
Ending Page	1704
File Size	1640580
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5652832
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deconvolution Image edge detection Kernel Pixel Image restoration Graphics Noise
Content Type	Text
Resource Type	Article

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