A fast adaptive superresolution technique for image restoration

The authors propose a fast adaptive method of superresolution using a Wiener filter in conjunction with iteration for projection onto convex sets (POCS). The algorithm is robust and adaptive in noise reduction and has very fast convergence. Moreover the algorithm does not require knowledge of the point spread function (psf) of the imaging system.