ICIP 2006, Atlanta, GA
 

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Atlanta Conv. & Vis. Bureau

 

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Paper Detail

Paper:MP-L3.6
Session:Deblurring and Image Restoration
Time:Monday, October 9, 16:20 - 16:40
Presentation: Lecture
Title: SPARSE IMAGE RECONSTRUCTION FOR PARTIALLY KNOWN BLUR FUNCTIONS
Authors: Raviv Raich; University of Michigan 
 Alfred Hero; University of Michigan 
Abstract: In this paper, we consider the problem of image reconstruction from the noisy blurred version of an original image when the blurring operator is partially known and the original image is sparse. Using optimization transfer, we derive a novel iterative algorithm in closed-form that incorporates both sparseness and partial knowledge of the image. We demonstrate the performance of the algorithm using simulations.