articleDec 30, 2002Closed access

Enhanced image capture through fusion

Princeton University

Indexed incrossref

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…

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827
total citations
FWCI
77.44
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100%
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5
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Authors

2

Topics & keywords

Keywords
  • Computer science
  • Image fusion
  • Salience (neuroscience)
  • Image (mathematics)
  • Artificial intelligence
  • Computer vision
  • Broadband
  • Narrowband
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