DocumentCode
2463249
Title
Enhanced image capture through fusion
Author
Burt, Peter J. ; Kolczynski, Raymond J.
Author_Institution
David Sarnoff Res. Center, Princeton, NJ, USA
fYear
1993
fDate
11-14 May 1993
Firstpage
173
Lastpage
182
Abstract
The authors present an extension to the pyramid approach to image fusion. The modifications address problems that were encountered with past implementations of pyramid-based fusion. In particular, the modifications provide greater shift invariance and immunity to video noise, and provide at least a partial solution to the problem of combining components that have roughly equal salience but opposite contrasts. The fusion algorithm was found to perform well for a range of tasks without requiring adjustment of the algorithm parameters. Results were remarkably insensitive to changes in these parameters, suggesting that the procedure is both robust and generic. A composite imaging technique is outlined that may provide a powerful tool for image capture. By fusing a set of images obtained under restricted, narrowband, imaging conditions, it is often possible to construct an image that has enhanced information content when compared to a single image obtained directly with a broadband sensor
Keywords
computer graphics; computer vision; image processing; image sensors; algorithm parameters; broadband sensor; composite imaging technique; contrasts; image fusion; pyramid approach; pyramid-based fusion; salience; shift invariance; video noise; Cameras; Fuses; Humans; Image sensors; Infrared image sensors; Noise cancellation; Optical imaging; Pathology; Sensor fusion; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location
Berlin
Print_ISBN
0-8186-3870-2
Type
conf
DOI
10.1109/ICCV.1993.378222
Filename
378222
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