Image Fusion Algorithm Assessment Based on Feature Measurement

This paper presents a new metric to assess the performance of the image fusion algorithm. The proposed metric is based on image phase congruency, which provides an absolute measurement of image feature with a numeric value ranging from zero to one. By comparing the local cross-correlation of corresponding phase congruence maps of input images and fusion output, the quality of the fused result is assessable without a perfect reference. The preliminary experimental results on multi-focused image pairs demonstrate the efficiency of this approach