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Publication details

Understanding image priors in blind deconvolution

Conference Paper (international conference)

Šroubek Filip, Šmídl Václav, Kotera Jan


serial: 2014 IEEE International Conference on Image Processing, p. 4492-4496

action: 2014 IEEE International Conference on Image Processing, (Paris, FR, 27.10.2014-30.10.2014)

project(s): GA13-29225S, GA ČR, GAUK 938213, Grantová agentura UK

keywords: blind deconvolution, variational Bayes, automatic relevance determination

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abstract (eng):

Removing blurs from a single degraded image without any knowledge of the blur kernel is an ill-posed blind deconvolution problem. Proper estimators together with correct image priors play a fundamental role in accurate blind deconvolution. We demonstrate a superior performance of the variational Bayesian estimator and discuss suitability of automatic relevance determination distributions as image priors. Restoration of real photos blurred by out-of-focus and motion blur, and comparison with a state-of-the-art method is provided.

RIV: JD

bocek: 2012-12-21 16:10