Image fusion algorithm based on Bayesian compressive sensing
基于Bayesian压缩感知的融合算法

Acorrding to the sampling pattern in compressive sensing theory, this paper proposed an image fusion method in the compressive domain based on an improved sampling pattern. Firstly, it used double-star sampling pattern to get the compressed mearsurements in the sparsity domain for image fusion, then it used a simple and efficient maximum absolute value rule as the fusion rule, at last, it used the Bayesian analysis method to reconstruct the fusion image. Simulation results verify the effect of the proposed method.