Alexandru GACSÃDI, PÃ©ter SZOLGAY

590620

INTERPOLATION OF 2D SIGNALS USING CELLULAR NEURAL NETWORK

INTERPOLATION OF 2D SIGNALS USING CELLULAR NEURAL NETWORK

In this paper some new interpolation methods using cellular neural networks (CNN) are proposed. The templates have only linear feedback component with a 3*3 dimension. The templates were computed by using analytic methods. By implementing these interpolation methods on a “CNN- Universal Chip”, the processing becomes completely parallel and it can be done in real time. The testing results achieved by using these interpolation methods are presented for increasing gray- scale image resolution, for image reconstruction and the encoding-decoding the images necessary for their transmission.

Keywords:

-,

Electrica-Cover

ISSN: 2619-9831
Yayın Aralığı: 3
Başlangıç: 2001
Yayıncı: İstanbul Üniversitesi-Cerrahpaşa

Arşiv

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