Results 201 to 210 of about 18,614 (247)
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CMOS APS MTF Modeling

IEEE Transactions on Electron Devices, 2001
In this paper, a unified model, based on a thorough analysis of experimental data, is developed for the overall modulation transfer function (MTF) estimation for CMOS image sensors. The model covers the physical diffusion effect together with the influence of the pixel active area geometrical shape.
I. Shcherback, O. Yadid-Pecht
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An MTF method immune to aliasing

Medical Physics, 1985
The variance derived from the images of cyclic bar patterns can be used to determine the modulation transfer function (MTF) of an imaging system. Unlike most MTF methods, it is applicable even when the imaging system undersamples the test object and generates aliasing errors.
R T, Droege, M S, Rzeszotarski
openaire   +2 more sources

MTF analysis on the MSC design

IEEE International Geoscience and Remote Sensing Symposium, 2003
KARI (Korea Aerospace Research Institute) is developing the MSC (Multi-Spectral Camera) payload of the KOMPSAT-2 spacecraft to be launched in 2004, which takes high-resolution images of the Earth by using panchromatic and multi-spectral detectors in the visual and near IR spectral ranges obtained at an altitude of 685 km. This paper describes available
Hong-Sul Jang, Young-Soo Kim
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Diagnostics for kinematics on MTF at NRL

2014 17th International Symposium on Electromagnetic Launch Technology, 2014
The Material Test Facility (MTF) houses a medium caliber EM railgun that is designed for ease of access. As such it is ideal for developing diagnostics for measuring the performance of EM launchers. Multiple, in-situ diagnostics have been fielded on the MTF railgun including field sensors for position location and thermal sensors.
Scott R. Douglass   +6 more
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The Constant MTF Interpolator a resampling technique with minimal MTF losses

2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2016
The geometric remapping of pixel values during the processing of digital imagery, such as magnification, warping and registration, can significantly affect the final image quality. Many medical imaging systems include a resampler/interpolator, such as bicubic, as part of their processing, that acts as a variable low pass filter.
Ellis Freedman, Robert Fleming
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How to measure MTF

OSA Annual Meeting, 1993
Modulation transfer function (MTF) is quickly becoming a popular method of determining the quality of optical systems. We discuss various methods currently used to measure MTF, from traditional target projections to new video-based real-time systems.
Peter Carellas, Stephen Wilk
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An empirical equation for screen MTFs

Medical Physics, 1978
An empirical equation is described which accurately fits intensifying-screen MFT data within the accuracy of the MTF measurements. The equation is S (u) = 0.5 erfc[alpha1n(u/u0)]. The equation was fitted to data for 27 intensifying screens. Graphical and numerical results are presented. The maximum standard error was 0.02 and typical standard error was
openaire   +2 more sources

MTF of a Gap*

Journal of the Optical Society of America, 1969
Subject to reasonable assumptions of geometrical optics, the point spread function is calculated for a point source in a plane radiating to a nearby parallel plane. The calculation includes the case in which the gap between the planes attenuates the signal. The modulation-transfer function (MTF) is calculated from the point-spread function.
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Characterization of Printer MTF

Journal of Imaging Science and Technology, 2006
We develop a comprehensive procedure for characterizing the modulation transfer function (MTF) of a digital printer. Especially designed test pages consisting of a series of patches, each with a different one-dimensional (1D) sinusoidal modulation, enable measurement of the dependence of the MTF on spatial frequency, bias point, modulation amplitude ...
Woonyoung Jang, Jan Allebach
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MTF Measurement Methods

2010
In this chapter, we develop the mathematical relationships between the data and the MTF for the point-spread function (PSF), line-spread function (LSF), and edge-spread function (ESF). One item of notation in this section is that we use * to denote a one-dimensional convolution and ** to denote a two-dimensional convolution.
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