Compressive sensing reconstruction is the process of recovering the original signal using the obtained random measurement values. Because the signal is sparse or compressible, the solution of the compressed sensing problem is the process of finding the sparsest solution of the equation. At first, the construction method of six measurement matrices is given. And then, a reconstruction method TVAL3 of high quality reconstruction signal is introduced, and four assessment parameters of image reconstruction quality are given. At last, the influence of different measurement matrix on image reconstruction quality is simulated.