Abstract
Phase problems arise from the lost Fourier phase in measuring the diffraction waves. Re-constructing the phase information using the diffraction pattern of a target object yields the target image, and it is called phase retrieval. This paper introduces an information-theoretic approach to phase retrieval based on information measures, and a refined derivation of the generalized phase retrieval algorithm based on the density power divergence is presented with a simple numerical example using the Poisson-noise-contaminated Fourier intensity.
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