Paper Info
Title
Dual Range Deringing for non-blind image deconvolution
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 edge-preserving 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.
Year
DOI
Venue
2010
10.1109/ICIP.2010.5652832
ICIP
Keywords
Field
DocType
ringing artifacts,nonblind image deconvolution,rl-deblurred image,richardson-lucy image deconvolution,image restoration,deconvolution,dual range deringing,point spread functions,kernel,noise,blind deconvolution,graphics,point spread function,pixel
Kernel (linear algebra),Graphics,Ringing artifacts,Computer vision,Pattern recognition,Computer science,Deconvolution,Artificial intelligence,Pixel,Image restoration
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-7993-1
978-1-4244-7993-1
0
PageRank 
References 
Authors
0.34
4
4
Name
Order
Citations
PageRank
Le Zou1323.20
Howard Zhou2705.71
Samuel Cheng3496.18
Chuan He400.34