A new image reconstruction algorithm was proposed based on the TV norm minimization model. Then using the under sampling fusion information, combined with the image reconstruction algorithm, a fusion model based on compressed sensing is proposed. Numerical results show that the proposed image reconstruction method can reduce the sampling number required to some extent compared with the traditional algorithm. The proposed fusion model has good performance for many kinds of images.