Analogic CNN algorithms for some image compression and restoration tasks
Article 1995 en
Authors
PV
P.L. Venetianer
FW
F. Werblin
TR
T. Roska
Abstract
1 min read
This paper presents analogic cellular neural network universal machine algorithms for some important image processing tasks. Templates are given for skeletonizing black-and-white and grey-scale images. A method is presented enhancing the quality of copying machines by removing scratches from the copied images. Finally, a similar method is used to enlarge images. All templates use only a nearest neighborhood, therefore being well suited for VLSI implementation.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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