Image Fusion Metric Based on Visual Saliency Weighted Structural Similarity

摘要

In this paper, a novel non-reference objective quality metric for night vision image fusion is presented. The metric extracts visual salient regions of the source images based on the mechanism of human visual attention, calculates the visual saliency weights with consideration of the physical characteristics of the input images, and evaluates the quality of the fused image with a visual saliency weighted structural similarity. Experimental results show that the proposed approach is consistent with human visual inspection better than recent state of the art image fusion evaluation methods, and can be used to assess the fusion schemes that are not performed at the same level.