Image fusion metric based on mutual information and tsallis entropy

N Cvejic, CN Canagarajah, DR Bull

Research output: Contribution to journalArticle (Academic Journal)peer-review

113 Citations (Scopus)

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 contributionImage fusion metric based on mutual information and tsallis entropy
Original languageEnglish
Pages (from-to)626 - 627
Number of pages2
JournalElectronics Letters
Volume42
Issue number11
DOIs
Publication statusPublished - May 2006

Bibliographical note

Publisher: IET
Rose publication type: Journal article

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