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Norman S. Kopeika

Researcher at Ben-Gurion University of the Negev

Publications -  371
Citations -  5452

Norman S. Kopeika is an academic researcher from Ben-Gurion University of the Negev. The author has contributed to research in topics: Image restoration & Optical transfer function. The author has an hindex of 36, co-authored 371 publications receiving 5221 citations. Previous affiliations of Norman S. Kopeika include Ariel University & University of Pennsylvania.

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Enhanced-resolution image restoration from a sequence of low-frequency vibrated images by use of convex projections

TL;DR: An algorithm to increase the spatial resolution of digital video sequences captured with a camera that is subject to mechanical vibration is developed and it is shown that the random blur characterizing low-frequency vibration requires selection of the frames prior to processing.
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Spatial-frequency dependence of scattered background light: the atmospheric modulation transfer function resulting from aerosols

TL;DR: In this paper, a theoretical model, including wavelength dependence, is developed and compared with experimental measurements, which indicates that the spatial-frequency dependence of background radiation can seriously limit resolution, which is also useful in describing underwater image-resolution limitations imposed by water particulates, such as dust particles or biological media.
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Wavelength tuning of GaAs LED's through surface effects

TL;DR: In this article, a novel wavelength tuning technique, applicable to shallow junction surface-emitting LED's, is shown to exhibit wavelength changes on the order of 50 nm, depending on current and gas environment, the tuning technique is external and is continuous, repeatable, reversible, controllable, and apparently nondestructive.
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Measured profiles of aerosols and turbulence for elevations of 2 to 20 km and consequences of widening of laser beams

TL;DR: In this article, a new lidar system for measuring simultaneously aerosol extinction, size distribution and turbulence profiles up to 20 km altitude has been developed, and the atmospheric aerosol contributions to laser beam widening for a horizontal propagation path at various elevations is estimated and compared with beam widening caused by turbulence.
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Prediction of image propagation quality through the atmosphere:the dependence of atmospheric modulation transfer function on weather

TL;DR: Using the atmospheric modulation contrast function area (MCFA) as a single-valued numerical criterion for image quality propagated through the atmosphere, a statistical study of atmospheric imaging data has led to the determination of regression coefficients with which to quantitatively predict, at visible and near-infrared wavelengths, effects of wind speed, air temperature, and relative humidity on image quality.