Super-resolution reconstruction of multiformat laser range-gated image by the estimate of point-spread function

In order to solve the problem of complicated degeneration model of underwater laser range-gated imaging system, a method to estimate point spread function(PSF) by continuous image sequence is presented. At first, a reference image is selected from continuous image sequence as initialized clear image and next sequence image is used as blurred image. PSF can be estimated by constrained optimization using its gradient. The clear image can be optimized and updated by PSF. Then following images are all defined as blurred image to calculate PSF with clear image. Clear image is updated by the PSF. At last, a final clear image can be got from continuous image sequence. PSF of the whole sequence can be estimated by multiplicative updates of reference image and the final clear image. Projection onto convex sets(POCS) can be optimized by the PSF and the super resolution reconstruction can be made. The stimulation results show that the resolution and quality of reconstruction image obtained by improved algorithm are much better than that of orginal ones.