The cognitive structural approach for image restoration
Igor Mardare, Veacheslav V. Perju, David P. Casasent · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
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.