Visual image processing by neural networks with nonlocal coupling

Details Visual image processing by neural networks with nonlocal coupling Visual image processing by neural networks with nonlocal coupling

Sep 1994

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994r%26qe...37..770b&link_type=abstract

Radiophysics and Quantum Electronics, Volume 37, Issue 9, pp.770-783

Physics

Scientific paper

The possibilities of using homogeneous artificial neural networks both for encoding and back reconstruction of visual images are investigated. A conjugate reverse neural network with an opposite time direction is used for the image reconstruction. Information-entropic characteristics of the image and its different-level histograms are used for quality monitoring of the dynamic image processing. Experimental data on the dynamic behavior of these values in computer simulation for pure images are reported. Comparison with the thermodynamic entropy, subject to a monotonic change, is made. Special cases of nonmonotonic entropy change are considered and examples of the dynamic processing of images with code redundancy are demonstrated.

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