Title :
A window adaptive Chandrasekhar filtering algorithm for image enhancement
Author :
Mahalanabis, A.K. ; Kefu Xue
Author_Institution :
The Pennsylvania State University, University Park, PA
Abstract :
The paper presents an efficient window adaptive filtering algorithm for image enhancement. It is shown that the Chandrasekhar algorithm for optimal filtering of the scalar image pixel data may be coupled with a window adaptive NSHP model for this purpose. The results are illustrated for three real images.
Keywords :
Filtering algorithms; Image enhancement; Kalman filters; Parameter estimation;
Conference_Titel :
Decision and Control, 1987. 26th IEEE Conference on
Conference_Location :
Los Angeles, California, USA
DOI :
10.1109/CDC.1987.272882
