Accurate quality assessment of fused images, such as combined visible and infrared radiation images, has become increasingly important with the rise in the use of image fusion systems. We bring together three approaches, applying two objective tasks (local target analysis and global target location) to two scenarios, together with subjective quality ratings and three computational metrics. Contrast pyramid, shift-invariant discrete wavelet transform, and dual-tree complex wavelet transform fusion are applied, as well as levels of JPEG2000 compression. The differing tasks are shown to be more or less appropriate for differentiating among fusion methods, and future directions pertaining to the creation of task-specific metrics are explored.
© 2007 Optical Society of America
Original Manuscript: March 9, 2007
Revised Manuscript: July 12, 2007
Manuscript Accepted: July 20, 2007
Published: October 11, 2007
Vol. 3, Iss. 1 Virtual Journal for Biomedical Optics
Timothy D. Dixon, Eduardo Fernández Canga, Stavri G. Nikolov, Tom Troscianko, Jan M. Noyes, C. Nishan Canagarajah, and Dave R. Bull, "Selection of image fusion quality measures: objective, subjective, and metric assessment," J. Opt. Soc. Am. A 24, B125-B135 (2007)