The theory of compressed sensing shows that the original signal can be recovered by low sampling rate, so it is often used in the field of optical imaging. In order to solve the problem of large amount of data and heavy computational burden when compressed sensing is used to reconstruct images, a blocking compressed sensing method is proposed. In this paper, we propose the compressed sensing methods of column block and mixed blocking. The block by column mode reduces the requirements of block division, and the mixed block mode effectively improve the effect of compressed sensing. Through simulation experiments, it can be verified that the method proposed in this paper effectively improves the quality of image reconstruction, especially the mixed block method, which significantly improves the speed and quality of image reconstruction.