Title :
Measuring the capacity of image fusion
Author :
Hossny, M. ; Nahavandi, S.
Author_Institution :
Centre for Intell. Syst. Res., Deakin Univ., Melbourne, VIC, Australia
Abstract :
Multisource image fusion is usually achieved by repeatedly fusing source images in pairs. However, there is no guarantee on the delivered quality considering the amount of information to be squeezed into the same spatial dimension. This paper presents a fusion capacity measure and examines the limits at which fusing more images will not add further information. The fusion capacity index employs Mutual Information (MI) to measure how far the histogram of the examined image is from a uniformly distributed histogram of a saturated image.
Keywords :
image fusion; MI; fusion capacity index; fusion capacity measure; image histogram; image quality; multisource image fusion; mutual information; saturated image; spatial dimension; uniformly distributed histogram; Entropy; Histograms; Image color analysis; Image fusion; Indexes; Mutual information; White noise; Image fusion; Infinity image; Mutual information; Quadtree decomposition; white noise;
Conference_Titel :
Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-2585-1
DOI :
10.1109/IPTA.2012.6469548