Please use this identifier to cite or link to this item: https://doi.org/10.1145/2245276.2245424
Title: Restoration of motion blurred document images
Authors: Su, B.
Lu, S.
Lim, T.C. 
Keywords: alpha channel
blur identification
document image
motion blur
Issue Date: 2012
Source: Su, B.,Lu, S.,Lim, T.C. (2012). Restoration of motion blurred document images. Proceedings of the ACM Symposium on Applied Computing : 767-771. ScholarBank@NUS Repository. https://doi.org/10.1145/2245276.2245424
Abstract: Motion blur often decreases the quality of document image and makes the text information within the document images unreachable by optical character recognition (OCR) or by a person. This paper presents a blur correction technique that aims to correct motion blur within document images. Given a blurred document image, an alpha channel map is first constructed based on specific image characteristics that are associated with text documents. Several blur parameters including blur direction and blur extent are then estimated from the constructed alpha channel map. Finally the blurred document image is restored by using Richardson-Lucy deconvolution technique based on the estimated blur parameters. Experiments on a number of document images with motion blur show that the proposed technique improves the document visual quality as well as the OCR performance significantly. © 2012 ACM.
Source Title: Proceedings of the ACM Symposium on Applied Computing
URI: http://scholarbank.nus.edu.sg/handle/10635/41829
ISBN: 9781450308571
DOI: 10.1145/2245276.2245424
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