关键词: 小波变换, 局部模极大, 局部能量分析, 图像融合

Abstract:

An image fusion algorithm based on wavelet transform was proposed. The wavelet coefficient local model maximum method and local energy analysis method is used to fuse the high-frequency component, and local energy analysis method was also used to fuse scale coefficient. The result image had good vision representation capability. It did not need to set threshold, so it had effective generalization. The experiment results on  several multi-focused images show that the incorporation of the wavelet coefficient local model maximum method and local energy analysis method can emersion and protect the edges, and local energy analysis method used in the low-frequency component fusion, can eliminate the blur in the multi-focused images. This algorithm can improve the quality of the fused image in both objective effect and subjective effect evidently.

Key words: wavelet transform, local model maximum, local energy analysis, image fusion