A compressive sensing based imaging framework was proposed. At the sampling end, in order to enhance the acquisition accuracy of information, a new measurement matrix was designed to carry out zone control on digital micromirror device and the new digital micromirror device with zone control was used to make compressive measurements. At the recovery end, a low resolution image was first recovered by solving an optimization problem from the received measurements. Then, the modeling of a super-resolution problem in a compressive sensing framework was constructed according to the zone control process, and a total variation algorithm was exploited to solve such a compressive sensing based super-resolution problem for the high resolution image. Experimental results show that the proposed method based on zone control of digital micromirror device and super-resolution reconstruction can greatly shorten the imaging time and has very low computational complexity and excellent recovery performance.