Parametric blind-deconvolution algorithm to remove IMage artifacts in hybrid imaging systems

Hybrid imaging systems employing cubic phase modulation in the pupil-plane enable significantly increased depth of field, but artifacts in the recovered IMages are a major problem. We present a parametric blinddeconvolution algorithm, based on minimization of the high-frequency content of the restored IMage that enables recovery of artifact-free IMages for a wide range of defocus. We show that the algorithm enables robust matching of the IMage recovery kernel with the optical point-spread function to enable, for the first time, optimally low noise levels in recovered IMages. © 2010 Optical Society of America.