Multi-sensor image fusion algorithm based on edge feature

Specific to the drawback that favoritism and average methods for low frequency coefficient fusion are weaken in maintaining the contrast of fusion image in traditional signal level image fusion, combining with the superiorities of signal level and feature level fusion, a novel fusion algorithm based on edge feature was proposed. Firstly, the registered multi-sensor images from the same scene were transformed by wavelet transforms. Secondly, the high and low frequency coefficients were fused separately by using different fusion strategies: the low frequency coefficient was fused by adaptive regional energy, while the high frequency coefficient fusion was conducted by using the edge feature fusion of low frequency coefficient. Finally, the target image was obtained by performing inverse wavelet transforms. The algorithm has been used to fuse infrared and visible images, and multi-focus images. The experimental results indicate that the fused image obtained by the proposed method has a better subjective visual effect and objective evaluation criteria, it performs dramatically better than traditional fusion methods.