Image fusion metric based on mutual information and Tsallis entropy
- 1 January 2006
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 42 (11), 626-627
- https://doi.org/10.1049/el:20060693
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.Keywords
This publication has 5 references indexed in Scilit:
- Fast and accurate image registration using Tsallis entropy and simultaneous perturbation stochastic approximationElectronics Letters, 2004
- Information measure for performance of image fusionElectronics Letters, 2002
- Objective image fusion performance measureElectronics Letters, 2000
- Multisensor Image Fusion Using the Wavelet TransformGraphical Models and Image Processing, 1995
- Possible generalization of Boltzmann-Gibbs statisticsJournal of Statistical Physics, 1988