Institute of Information Theory and Automation

Publication details

Removing Boundary Artifacts for Real-Time Iterated Shrinkage Deconvolution

Journal Article

Šorel Michal


serial: IEEE Transactions on Image Processing vol.21, 4 (2012), p. 2329-2334

research: CEZ:AV0Z10750506

project(s): 1M0572, GA MŠk

keywords: image processing, deblurring, sparsity

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abstract (eng):

We propose a solution to the problem of boundary artifacts appearing in several recently published fast deblurring algorithms based on iterated shrinkage thresholding in a sparse domain and Fourier domain deconvolution. Our approach adapts an idea proposed by Reeves for deconvolution by the Wiener filter. The time of computation less than doubles.

RIV: JD

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Last modification: 21.12.2012
Institute of Information Theory and Automation