Title :
Enhanced image capture through fusion
Author :
Burt, Peter J. ; Kolczynski, Raymond J.
Author_Institution :
David Sarnoff Res. Center, Princeton, NJ, USA
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;
Conference_Titel :
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-8186-3870-2
DOI :
10.1109/ICCV.1993.378222