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 blind-deconvolution 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.
Demenikov
Mads
M
Heriot Watt University, Imaging Concepts Group, School of Engineering and Physical Sciences, Edinburgh, EH14 4AS, Scotland, UK.
Harvey
Andrew R
AR
D000465:Algorithms; D016477:Artifacts; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008962:Models, Theoretical; D055095:Optics and Photonics / Q000379:methods*