DocumentCode
2489550
Title
A feedforward neural filter for image processing
Author
Jindu, Chen ; Ding Runtao Ding
Author_Institution
Dept. of Electron. Eng., Tianjin Univ., China
Volume
2
fYear
1996
fDate
14-18 Oct 1996
Firstpage
1477
Abstract
This paper presents a new kind of filter for image processing that we call the feedforward neural filter (FNF). The FNF employs a feedforward neural network which performs the filtering directly. It is now intended to be a research model which can be used to study how to employ the powerful nonlinear mapping capacity of feedforward network for filtering the noise in an image
Keywords
feedforward neural nets; filtering theory; image processing; learning (artificial intelligence); noise; nonlinear filters; feedforward neural filter; feedforward neural network; image processing; learning algorithm; noise filtering; nonlinear filters; nonlinear mapping capacity; research model; Feedforward neural networks; Filtering; Image processing; Multi-layer neural network; Neural networks; Neurofeedback; Neurons; Noise cancellation; Nonlinear filters; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.571149
Filename
571149
Link To Document