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Proceedings Paper

Nonreference image fusion evaluation procedure based on mutual information and a generalized entropy measure
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Paper Abstract

The performance evaluation of image fusion algorithms is a difficult task using standard objective metrics specially because there is no reference image to compare with. In this paper we present a nonreference image fusion quality assessment procedure based on the use of the mutual information between the source images and the generalized Tsallis entropy. This procedure will be useful in other image quality evaluation scenarios as well, where the absence of a ground truth reference image can hamper the assessment of the results.

Paper Details

Date Published: 22 May 2007
PDF: 9 pages
Proc. SPIE 6592, Bioengineered and Bioinspired Systems III, 659215 (22 May 2007); doi: 10.1117/12.722844
Show Author Affiliations
Rodrigo Nava, Univ. Nacional Autónoma de México (Mexico)
Gabriel Cristóbal, CSIC (Spain)
Boris Escalante-Ramírez, Univ. Nacional Autónoma de México (Mexico)

Published in SPIE Proceedings Vol. 6592:
Bioengineered and Bioinspired Systems III
Paolo Arena; Ángel Rodríguez-Vázquez; Gustavo Liñán-Cembrano, Editor(s)

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