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Authors: I. Gallo ; E. Binaghi and A. Macchi

Affiliation: Universita’ degli Studi dell’Insubria, Italy

Keyword(s): Image restoration, gradient descent, neural networks.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: This work aims at defining and experimentally evaluating an iterative strategy based on neural learning for blind image restoration in the presence of blur and noise. A salient aspect of our solution is the local estimation of the restored image based on gradient descent strategies able to estimate both the blurring function and the regularized terms adaptively. Instead of explicitly defining the values of local regularization parameters through predefined functions, an adaptive learning approach is proposed. The method was evaluated experimentally using a test pattern generated by a function checkerboard in Matlab. To investigate whether the strategy can be considered an alternative to conventional restoration procedures the results were compared with those obtained by a well known neural restoration approach.

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Paper citation in several formats:
Gallo, I.; Binaghi, E. and Macchi, A. (2007). ADAPTIVE IMAGE RESTORATION USING A LOCAL NEURAL APPROACH. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP; ISBN 978-972-8865-73-3; ISSN 2184-4321, SciTePress, pages 161-164. DOI: 10.5220/0002048501610164

@conference{visapp07,
author={I. Gallo. and E. Binaghi. and A. Macchi.},
title={ADAPTIVE IMAGE RESTORATION USING A LOCAL NEURAL APPROACH},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP},
year={2007},
pages={161-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002048501610164},
isbn={978-972-8865-73-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP
TI - ADAPTIVE IMAGE RESTORATION USING A LOCAL NEURAL APPROACH
SN - 978-972-8865-73-3
IS - 2184-4321
AU - Gallo, I.
AU - Binaghi, E.
AU - Macchi, A.
PY - 2007
SP - 161
EP - 164
DO - 10.5220/0002048501610164
PB - SciTePress