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Paper Detail

Paper:	IMDSP-P15.4
Session:	Image Restoration and Denoising
Time:	Friday, May 19, 10:00 - 12:00
Presentation:	Poster
Topic:	Image and Multidimensional Signal Processing: Restoration and Enhancement
Title:	BLIND IMAGE RESTORATION USING A BLOCK-STATIONARY SIGNAL MODEL
Authors:	Tom Bishop, James Hopgood, University of Edinburgh, United Kingdom
Abstract:	We present a novel method for Blind image restoration which is a multidimensional extension of an approach used successfully for audio restoration. A nonstationary image model is used to increase reliability of blur estimates. This source model consists of a separate autoregressive model in each region of the image. A hierarchical Bayesian model for the observations is used, and a maximum marginalised a posteriori (MMAP) blur estimate is obtained by optimising the resulting probability density function.