An Image Fusion Assessment Metric Based on Multi-Scale Structure Similarity

Abstract

Considering the fact that the human visual system is not only highly adapted for extracting structural features such as lines, edges, contours from the input images, but also has characteristics of multi-channel (multi-scale) information processing, An image fusion assessment metric based on multi-scale structure similarity is proposed. Compared with the single-scale assessment metrics, the proposed metric provides more flexibility on account of considering the variations of viewing conditions and has better consistence with human perceptions. Visual experiments and quantitative analysis confirm its effectiveness, and the statistical results of image fusion demonstrate its promising applications.