title   
  

Non-quadratic regularization based image deblurring: automatic parameter selection and feature based evaluation

Batu, Özge and Çetin, Müjdat (2007) Non-quadratic regularization based image deblurring: automatic parameter selection and feature based evaluation. In: IEEE Conference on Signal Processing and Communications Applications, Eskişehir, Turkey

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Official URL: http://dx.doi.org/10.1109/SIU.2007.4298740

Abstract

In computer vision based analysis, a completely automatic inspection of parts on assembly line involves many challanges. Since the parts are moving fast on line it is most probable that the captured frames are motion blurred and noisy images. Therefore accurate extraction of features from the image may not be possible. To overcome this challenge, we consider quadratic and non-quadratic regularization based deblurring. To select the regularization parameter automatically, we propose usage of unbiased predictive risk estimator method. We investigate the quantitative effect of the applied methods on feature extraction performance and demonstrate the effectiveness of the proposed approach with experiments on real data.

Item Type:Papers in Conference Proceedings
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:6544
Deposited By:Müjdat Çetin
Deposited On:29 Oct 2007 19:22
Last Modified:25 May 2011 14:21

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