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

Volume

42

Issue

5

fYear

1995

fDate

5/1/1995 12:00:00 AM

Firstpage

278

Lastpage

284

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;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.386161

Filename

386161