Analogic CNN algorithms for some image compression and restoration tasks

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 cop...

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Bibliographic Details
Published inIEEE transactions on circuits and systems. 1, Fundamental theory and applications Vol. 42; no. 5; pp. 278 - 284
Main Authors Venetianer, P.L., Werblin, F., Roska, T., Chua, L.O.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.05.1995
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Biology computing
Cellular neural networks
Exact sciences and technology
Image coding
Image processing
Image restoration
Information, signal and communications theory
Integral equations
Laboratories
Neural networks
Signal processing
Telecommunications and information theory
Turing machines
Very large scale integration
VLSI circuit
Grey level image
Image processing
Data compression
Cell network
Image restoration
Neural network
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Summary: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.< >
ISSN:1057-7122
1558-1268
DOI:10.1109/81.386161