Multi-focus thermal image fusion

This paper proposes a novel algorithm for multi-focus thermal image fusion. The algorithm is based on local activity analysis and advanced pre-selection of images into fusion process. The algorithm improves the object temperature measurement error up to 5 °C. The proposed algorithm is evaluated by half total error rate, root mean squared error, cross correlation and visual inspection. To the best of our knowledge, this is the first work devoted to multi-focus thermal image fusion. For testing of proposed algorithm we acquire six thermal image set with objects at different focal depth.

► First paper devoted to multifocus thermal image fusion.
► New database for multifocus thermal image fusion is provided for the scientific community.
► Demonstration of temperature measurement errors when not using multifocus image fusion.