Nonlinear interpolative effect of feedback template for image processing by discrete-time cellular neural network

Author

Takahashi, Nobuaki ; Otake, Tsuyoshi ; Tanaka, Mamoru

Author_Institution

Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

1942

Lastpage

1945

Abstract

Recently discrete-time cellular neural network (DT-CNN) is applied to many image processing such as compression and reconstruction, recognition, and so on. Not a few models work as a simple filter and doesn´t make good use of CNN dynamics by feedback A template, which is one of the significant characteristics of CNN. If CNN is applied to a filter only by feed forward B template, you should propose a model consists of digital filters using high speed signal processing modules such as high speed DSP IC. This paper describes nonlinear interpolative effect of feedback template, that is, A template by using the evaluation of image compression and reconstruction

Keywords

cellular neural nets; digital filters; digital signal processing chips; discrete time systems; feedback; feedforward neural nets; image processing; interpolation; CNN dynamics; DT-CNN; digital filters; discrete-time cellular neural network; feed forward B template; feedback A template; feedback template; feedforward B template; filter; high-speed DSP IC; high-speed signal processing modules; image compression; image processing; image recognition; image reconstruction; nonlinear interpolative effect; Cellular neural networks; Digital filters; Digital signal processing; Feedback; Image coding; Image processing; Image recognition; Image reconstruction; Integrated circuit modeling; Neurofeedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1007816

Filename

1007816