DocumentCode :
1554937
Title :
Model-based image enhancement of far infrared images
Author :
Highnam, Ralph ; Brady, Michael
Author_Institution :
Robotics Res. Group, Oxford Univ., UK
Volume :
19
Issue :
4
fYear :
1997
fDate :
4/1/1997 12:00:00 AM
Firstpage :
410
Lastpage :
415
Abstract :
We devise enhancement algorithms for far infrared images based upon a model of an idealized far infrared image being piecewise-constant. We then apply two known enhancement algorithms: median filtering and spatial homomorphic filtering, and then extend the model to develop spatio-temporal homomorphic filtering. The algorithms have been applied to several image sequences and work well, showing significant image enhancement
Keywords :
filtering theory; image enhancement; image sequences; infrared imaging; Prometheus project; far infrared images; image enhancement; image sequences; median filtering; spatial homomorphic filtering; spatio-temporal homomorphic filtering; Computer vision; Degradation; Filtering algorithms; Image enhancement; Infrared image sensors; Infrared imaging; Layout; Optical imaging; Spatiotemporal phenomena; Temperature distribution;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.588029
Filename :
588029
Link To Document :
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