Title :
A new nonlinear preprocessing algorithm for infrared image
Author :
Tudan ; Yanhong ; Shen, Zhenkang
Author_Institution :
ATR Lab., Nat. Univ. of Defense Tech., Hunan, China
Abstract :
A new preprocessing algorithm for infrared image, adaptive background cancel algorithm, is developed in this paper. This algorithm is based on the adaptive L-filter´s characteristic of effectively filtering impulse noise. The experiments and results show that this algorithm can obviously supress background noise, raise signal-clutter-ratio and get rid of the relativity of original image noise
Keywords :
adaptive filters; adaptive signal processing; clutter; image processing; infrared imaging; interference suppression; military computing; nonlinear filters; statistical analysis; adaptive L-filter characteristic; adaptive background cancel algorithm; background noise; filtering impulse noise; image noise; infrared image; military technology; missiles; nonlinear preprocessing algorithm; signal-clutter-ratio; Adaptive filters; Background noise; Filtering algorithms; Information filtering; Information filters; Infrared detectors; Infrared image sensors; Infrared imaging; Nonlinear filters; Thyristors;
Conference_Titel :
Aerospace and Electronics Conference, 1997. NAECON 1997., Proceedings of the IEEE 1997 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-3725-5
DOI :
10.1109/NAECON.1997.622764
