NDLI: Truncated edges estimation using MLP neural nets applied to regularized image restoration

Content Provider	IEEE Xplore Digital Library
Author	Bernues, E. Cisneros, G. Capella, M.
Copyright Year	2002
Description	Author affiliation: Zaragoza Univ., Spain (Bernues, E.)
Abstract	This paper describes the implementation of a method for image restoration based on neural nets. The idea is to apply a well-known deterministic regularisation function in an iterative energy minimisation procedure to a multilayer perceptron (MLP). At every iteration, the neural net simulates an approach to both the degradation process, using the aperiodic model (backward), and the restoration process (forward), including the truncation (loss) of the borders and their regeneration (approach) with no a priori knowledge, assumption, or estimation concerning those lost borders. As no net training is required, no images are involved in this non-existent process. Within the strategy of global energy minimisation, the borders are regenerated while adapting the centre of the image to the optimum linear solution. The proposed tests compare the restoration results with those given by the pure aperiodic model (no border truncation) and the circulant model. The restoration error is computed for different concentric areas of the image, showing the adaptation provided by the neural net up to the borders. Moreover, pure aperiodic and circulant models can be obtained as particular implementations of the method proposed in this work.
Sponsorship	IEEE Signal Process. Soc
File Size	283931
File Format	PDF
ISBN	0780376226
ISSN	15224880
DOI	10.1109/ICIP.2002.1038030
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Image restoration Degradation Multilayer perceptrons Testing Iterative algorithms Telecommunications Minimization methods Neurons Pixel
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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