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Proceedings Paper

Information measure for assessing pixel-level fusion methods
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Paper Abstract

An objective measure for evaluating the performance of pixel level fusion methods is introduced in this work. The proposed measure employs mutual information and conditional mutual information in order to assess and represent the amount of information transferred from the source images to the final fused greyscale image. Accordingly, the common information contained in the source images is considered only once in the formation of the final image. The measure can be used regardless the number of source images or the assumptions about the intensity values and there is no need for an ideal or test image. The experimental results clarify the usefulness of the proposed measure.

Paper Details

Date Published: 10 November 2004
PDF: 8 pages
Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); doi: 10.1117/12.565597
Show Author Affiliations
Vassilis Tsagaris, Univ. of Patras (Greece)
Vassilis Anastassopoulos, Univ. of Patras (Greece)


Published in SPIE Proceedings Vol. 5573:
Image and Signal Processing for Remote Sensing X
Lorenzo Bruzzone, Editor(s)

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