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|
|Pages (from-to)||626 - 627|
|Number of pages||2|
|Publication status||Published - May 2006|
Bibliographical notePublisher: IET
Rose publication type: Journal article