Identification of blurred system based on super-resolution reconstructing image schemes

For identifying unknown PSF in blurred image and getting more precise reconstructing images, the comparison of super-resolution reconstruction image algorithm MPML with several common deconvolution algorithms was introduced. According to simulation experiments, MPML has the advantages of other methods as well as decrease losing from original datum. The sorts and various estimating parameters of Point Spread Function (PSF) along with the influence on degradation image reconstruction were analyzed, and the consistency between image-reconstruction subjective effect and evaluation parameter was guaranteed with satisfaction after one novel evaluating parameter D proposed based on MPML. It is certain of reference to reconstructing blurred images by accurately identifying unknown PSF from blurred images, but still it need more researches on reconstructing field under bigger noise.