Title :
Analogic CNN algorithms for some image compression and restoration tasks
Author :
Venetianer, Péter L. ; Werblin, Frank ; Roska, Tamás ; Chua, Leon O.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fDate :
5/1/1995 12:00:00 AM
Abstract :
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
Keywords :
VLSI; cellular neural nets; data compression; image coding; image enhancement; image restoration; VLSI implementation; analogic cellular neural network; black-and-white images; copied images; copying machines; grey-scale images; image compression; image enlargement; image restoration; nearest neighborhood; skeletonizing; universal machine algorithms; Biology computing; Cellular neural networks; Image coding; Image processing; Image restoration; Integral equations; Laboratories; Neural networks; Turing machines; Very large scale integration;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
