Abstract
A novel image fusion performance metric using mutual information is proposed. The metric is based on Tsallis entropy, which is a one-parameter generalisation of Shannon entropy. Experimental results have confirmed that the proposed metric outperforms the standard MI metric by correlating better with the subjective quality of fused images.
Translated title of the contribution | Image fusion metric based on mutual information and tsallis entropy |
---|---|
Original language | English |
Pages (from-to) | 626 - 627 |
Number of pages | 2 |
Journal | Electronics Letters |
Volume | 42 |
Issue number | 11 |
DOIs | |
Publication status | Published - May 2006 |
Bibliographical note
Publisher: IETRose publication type: Journal article