Title
Image enhancement and moving target detection in IR image sequences
Author
Fysisch en Elektronisch Laboratorium TNO
Beck, W.
Contributor
Andresen, B.F. (editor)
Shepherd, F.D. (editor)
Publication year
1993
Abstract
Results are presented of noise reduction by motion compensated temporal filtering in a noisy IR image sequence and of moving target detection in an air-to-ground IR image sequence. In the case of motion compensated temporal filtering our approach consists of estimating the optical flow between successive frames and subsequently averaging a small number of images. Moving targets are detected by first estimating the optical flow between successive frames. Target detection amounts to comparing a predicted frame, based on the estimated optical flow, to the actual frame. Thus, it is possible to detect targets without making assumptions on their appearance. The particular motion estimator used was found to be especially useful in the case of IR imagery, because the estimator is relatively insensitive to noise and global brightness variations
Subject
Infrared images
Target detection
Noise reduction
Moving targets
Image enhancement
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http://resolver.tudelft.nl/uuid:f9b9fbb0-70c0-429d-9596-cead408de306
TNO identifier
94664
Report number
SPIE-2020
Publisher
SPIE, Bellingham, WA.
Source
Infrared Technology XIX, 12-14 July 1993, San Diego, CA, 187-195
Series
Proceedings of SPIE
Document type
conference paper