Title :
A feedforward neural filter for image processing
Author :
Jindu, Chen ; Ding Runtao Ding
Author_Institution :
Dept. of Electron. Eng., Tianjin Univ., China
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;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.571149
