Neural network decision directed edge-adaptive Kalman filter for image estimation

Author

Azimi-Sadjadi, Mahmood R. ; Xiao, Rongrui ; Yu, Xi

Author_Institution

Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA

Volume

8

Issue

4

fYear

1999

fDate

4/1/1999 12:00:00 AM

Firstpage

589

Lastpage

592

Abstract

A neural network-based scheme for decision directed edge-adaptive Kalman filtering is introduced in this work. A backpropagation neural network makes the decisions about the orientation of the edges based on the information in a window centered at the current pixel being processed. Then based upon the neural network output an appropriate image model which closely matches the local statistics of the image is chosen for the Kalman filter. This prevents the oversmoothing of the edges, which would have otherwise been caused by the standard Kalman filter. Simulation results are presented which show the effectiveness of the proposed scheme

Keywords

adaptive Kalman filters; backpropagation; decision theory; edge detection; filtering theory; image classification; image restoration; neural nets; backpropagation neural network; decision directed edge-adaptive Kalman filter; edge orientation; image estimation; image model; local statistics; neural network-based scheme; simulation results; Adaptive filters; Adaptive systems; Backpropagation; Filtering; Image edge detection; Image restoration; Kalman filters; Neural networks; Pixel; Statistics;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.753746

Filename

753746