title: Compact multiframe blind deconvolution.
abstract: We describe a multiframe blind deconvolution (MFBD) algorithm that uses spectral ratios (the ratio of the Fourier spectra of two data frames) to model the inherent temporal signatures encoded by the observed images. In addition, by focusing on the separation of the object spectrum and system transfer functions only at spatial frequencies where the measured signal is above the noise level, we significantly reduce the number of unknowns to be determined. This "compact" MFBD yields high-quality restorations in a much shorter time than is achieved with MFBD algorithms that do not model the temporal signatures; it may also provide higher-fidelity solutions.
authors.affiliation: Institute for Astronomy, University of Hawaii, Pukalani, Hawaii 96768, USA. dhope@ifa.hawaii.edu
authors.forename: Douglas A
authors.initials: DA
authors.lastname: Hope
authors.forename: Stuart M
authors.initials: SM
authors.lastname: Jefferies