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Proceedings Paper

The cognitive structural approach for image restoration
Author(s): Igor Mardare; Veacheslav Perju; David Casasent
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Paper Abstract

It is analyzed the important and actual problem of the defective images of scenes restoration. The proposed approach provides restoration of scenes by a system on the basis of human intelligence phenomena reproduction used for restoration-recognition of images. The cognitive models of the restoration process are elaborated. The models are realized by the intellectual processors constructed on the base of neural networks and associative memory using neural network simulator NNToolbox from MATLAB 7.0. The models provides restoration and semantic designing of images of scenes under defective images of the separate objects.

Paper Details

Date Published: 17 March 2008
PDF: 11 pages
Proc. SPIE 6977, Optical Pattern Recognition XIX, 69770T (17 March 2008); doi: 10.1117/12.778156
Show Author Affiliations
Igor Mardare, Technical Univ. of Moldova (Moldova)
Veacheslav Perju, Technical Univ. of Moldova (Moldova)
David Casasent, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 6977:
Optical Pattern Recognition XIX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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