The effects of support constraints on the Fourier spectra of measured data when deconvolution is employed is evaluated using a Cramér-Rao lower bound approach. It is shown that support constraints preferentially lower the variances of the higher spatial frequencies in data corrupted by Poisson and read noises.
© 2004 Optical Society of America
C. L. Matson, "Spatial frequency effects of support constraints on deconvolved data," in Frontiers in Optics 2004/Laser Science XXII/Diffractive Optics and Micro-Optics/Optical Fabrication and Testing, OSA Technical Digest Series (Optical Society of America, 2004), paper FTuO5.
References are not available for this paper.