Adaptive Image Restoration Based on Local Robust Blur Estimation

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Abstract

This paper presents a novel non-iterative method to restore the out-of-focus part of an image. The proposed method first applies a robust local blur estimation to obtain a blur map of the image. The estimation uses the maximum of difference ratio between the original image and its two digitally re-blurred versions to estimate the local blur radius. Then adaptive least mean square filters based on the local blur radius and the image structure are applied to restore the image and to eliminate the sensor noise. Experimental results have shown that despite its low complexity the proposed method has a good performance at reducing spatially varying blur.
Original languageEnglish
Title of host publicationProceedings of the 9th international conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2007) 28-31 August 2007, Delft, The Netherlands
EditorsJ. Blanc-Talon, W. Philips
Place of PublicationBerlin, Germany
PublisherSpringer
Pages461-472
ISBN (Print)978-3-540-74606-5
DOIs
Publication statusPublished - 2007
Eventconference; ACIVS 9, Delft, The Netherlands; 2007-08-28; 2007-08-31 -
Duration: 28 Aug 200731 Aug 2007

Publication series

NameLecture Notes in Computer Science
Volume4678
ISSN (Print)0302-9743

Conference

Conferenceconference; ACIVS 9, Delft, The Netherlands; 2007-08-28; 2007-08-31
Period28/08/0731/08/07
OtherACIVS 9, Delft, The Netherlands

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