Institute of Information Theory and Automation

Publication details

Restoration in the presence of unknown spatially varying blur

Monography Chapter

Šorel Michal, Šroubek Filip


serial: Image Restoration: Fundamentals and Advances, p. 63-88 , Eds: Gunturk Bahadir, Li Xin

project(s): GAP103/11/1552, GA ČR

keywords: image restoration, super-resolution

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abstract (eng):

This chapter describes mathematical models used for spatially varying blur and basic restoration approaches connected with these models. Also, it proposes a new approach to space-variant super-resolution for images blurred by camera motion or any other blur changing slowly enough so that it can be locally modelled by convolution. It is one of the first attempts to apply true super-resolution to data with space-variant blur.

RIV: JD

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Last modification: 21.12.2012
Institute of Information Theory and Automation