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INTERPOLATION OF 2D SIGNALS USING CELLULAR NEURAL NETWORK

Journal Name:

  • Istanbul University Journal of Electrical & Electronics Engineering

Publication Year:

  • 2003

Key Words:

Author Name
Abstract (2. Language): 
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.
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  • 1
635-640
  • English

REFERENCES

References: 

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