An improved mixed regularization constrained multi-frame turbulence degradation image restoration method is proposed to solve the problem that the target image is degraded by the turbulence imaging platform. Firstly, according to the turbulence degeneration spatiotemporal transformation relation, the multi-frame degeneration image restoration model is adopted. Secondly, the image regular term increases the L₂ gradient constraint of the image gradient on the basis of the normalization of the image gradient L₀ norm, and improves the step artifacts in the restored image. Thirdly, according to the sparseness and smoothness of the image, the mixed regularization constraint is proposed. Finally, the multi-scale image pyramid strategy is used to improve the image restoration algorithm and optimize the solution process. The experimental results show that the method is effective in recovering the turbulence degradation image, and it has improved the visual effect and the objective quality evaluation index compared with the representative algorithm proposed in recent years.