Enhanced Biggs---Andrews Asymmetric Iterative Blind Deconvolution

Authors:
Mahesh B. Chappalli;N. K. Bose
Affiliations:
The Spatial and Temporal Signal Processing Center, Department of Electrical Engineering, The Pennsylvania State University, USA 16802;The Spatial and Temporal Signal Processing Center, Department of Electrical Engineering, The Pennsylvania State University, USA 16802
Venue:
Multidimensional Systems and Signal Processing
Year:
2006

Citing 9
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Abstract

The main contribution of this paper is the introduction of a framework for estimation of multiple unknown blurs as well as their respective supports. Specifically, the Biggs---Andrews (B---A) multichannel iterative blind deconvolution (IBD) algorithm is modified to include the blur support estimation module and the asymmetry factor for the Richardson---Lucy (R---L) update-based IBD algorithm is calculated. A computational complexity assessment of the implemented modified IBD is made. Simulations conducted on real-world and synthetic images confirm the importance of accurate support estimation in the blind superresolution problem.