Spatial resolution and noise tradeoffs in pinhole imaging system design: a density estimation approach.

作者: Jeffrey Fessler

DOI: 10.1364/OE.2.000237

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摘要: This paper analyzes the tradeoff between spatial resolution and noise for simple pinhole imaging systems with position-sensitive photon-counting detectors. We consider image recovery algorithms based on density estimation methods using kernels that are apodized inverse filters. approach allows a continuous-object, continuous-data treatment of problem. The analysis shows to minimize variance emission-rate estimate at specified reconstructed resolution, size should be directly proportional resolution. For Gaussian pinhole, variance-minimizing full-width half maximum (FWHM) equals desired object divided by √2. Simulation results confirm this conclusion empirically. general is potentially useful addition collection tools available system design.

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