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Enhanced image capture through fusion

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2 Author(s)
Burt, P.J. ; David Sarnoff Res. Center, Princeton, NJ, USA ; Kolczynski, R.J.

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

Published in:

Computer Vision, 1993. Proceedings., Fourth International Conference on

Date of Conference:

11-14 May 1993