2 December 1988 Application Of Maximum-Likelihood Image-Restoration In Quantum-Photon Limited Noncoherent Optical Imaging Systems And Their Relation To Nuclear-Medicine Imaging
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Abstract
Recent studies by others in maximum-likelihood (ML) image restoration have shown the feasibility of restoring positron-emission tomography images to a point beyond the classical limitation in resolution. These results have prompted a parallel study reported herein to determine if a similar method might provide superresolving image-restoration in quantum-photon limited noncoherent imaging systems. The challenge posed in this study is that of restoring Fourier components in the image that have been removed by the optical system. For clarity we summarize in this paper the derivation of the ML-based algorithm, which is an adaptation of the developments in 1,2. Computer simulations are presented which show the feasibility of superresolution and the property of restoring missing Fourier components. Also shown are the results of a preliminary experiment of restoring the image from a defocused camera. Several potential applications that fit this model include fluorescence microscopy, astronomical imaging and infrared imaging.
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Timothy J Holmes, Yi Hwa Liu, "Application Of Maximum-Likelihood Image-Restoration In Quantum-Photon Limited Noncoherent Optical Imaging Systems And Their Relation To Nuclear-Medicine Imaging", Proc. SPIE 0976, Statistical Optics, (2 December 1988); doi: 10.1117/12.948534; https://doi.org/10.1117/12.948534
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KEYWORDS
Imaging systems

Tomography

Systems modeling

3D modeling

Algorithm development

Computer simulations

Expectation maximization algorithms

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