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Authors: Ignazio Gallo and Elisabetta Binaghi

Affiliation: Università Degli Studi Dell'insubria Varese Italy, Italy

Keyword(s): Regularization profile, Image restoration, Adaptive regularization, Neural networks.

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

Abstract: This work aims to define and experimentally evaluate an adaptive strategy based on neural learning to select an appropriate regularization parameter within a regularized restoration process. The appropriate setting of the regularization parameter within the restoration process is a difficult task attempting to achieve an optimal balance between removing edge ringing effects and suppressing additive noise. In this context,in an attempt to overcome the limitations of trial and error and curve fitting procedures we propose the construction of the regularization parameter function through a training concept using a Multilayer Perceptron neural network. The proposed solution is conceived independent from a specific restoration algorithm and can be included within a general local restoration procedure. The proposed algorithm was experimentally evaluated and compared using test images with different levels of degradation. Results obtained proven the generalization capability of the metho d that can be applied successfully on heterogeneous images never seen during training. (More)

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Paper citation in several formats:
Gallo, I. and Binaghi, E. (2009). ASSIGNING AUTOMATIC REGULARIZATION PARAMETERS IN IMAGE RESTORATION. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 1: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 74-77. DOI: 10.5220/0001785500740077

@conference{visapp09,
author={Ignazio Gallo. and Elisabetta Binaghi.},
title={ASSIGNING AUTOMATIC REGULARIZATION PARAMETERS IN IMAGE RESTORATION},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 1: VISAPP},
year={2009},
pages={74-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001785500740077},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 1: VISAPP
TI - ASSIGNING AUTOMATIC REGULARIZATION PARAMETERS IN IMAGE RESTORATION
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Gallo, I.
AU - Binaghi, E.
PY - 2009
SP - 74
EP - 77
DO - 10.5220/0001785500740077
PB - SciTePress

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