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Multichannel Blind Image Restoration

Filip Šroubek
Defense type
DrSc./DSc.
Date of event
Venue
Ústav informatiky AV ČR
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The dissertation tackles an interesting inverse problem of estimating a latent sharp image from blurred observed images. The blurring process is modeled by convolution and the inverse problem is referred to as ``blind'' deconvolution since we assume limited or zero knowledge of the convolution kernel. The dissertation consists of seven scientific articles that survey author's contribution to the theory of image deconvolution.
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