System Analysis

Lavin, H. P.

doi:10.1007/978-1-4684-2928-2_15

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…This density may be related to contrast as follows. The intensity measured contrast is given by [49] -maxI-in (5) Imax + Imin and by direct substitution this can be written as 1-10 -d 1 + 10'd (6) For example, where the optical density d = 1.3 (95 percent of the incident light is absorbed), c = 0.90. This is, of course, the contrast that would be measured either in large open regions of the test pattern where spatial variation was virtually nonexistent or with an electrooptical system with unlimited spatial resolution.…”

Section: Contrast Modulation Transfer Function (Cmtf)mentioning

confidence: 99%

SSAM: Solid-State Automated Microscope

Young

Balasubramanian²,

Dunbar

et al. 1982

IEEE Trans. Biomed. Eng.

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Abstract-A new microscope system that is designed to provide images for a computer has been built and tested. This system differs from previous computerized microscopes in that the fundamental design parameters have been tuned to the computer as the receiver of the image instead of the human visual system. This solid-state automated microscope system (SSAM) simultaneously provides wide-field (2 mm), high-resolution (0.5 M), high signal-to-noise images (>53 dB) at data rates of 5 X 106 pixels/s. Various methods have been developed and used to test the design specifications of the system against the actual performance.

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Section: Contrast Modulation Transfer Function (Cmtf)mentioning

confidence: 99%

SSAM: Solid-State Automated Microscope

Young

Balasubramanian²,

Dunbar

et al. 1982

IEEE Trans. Biomed. Eng.

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“…The assumed role of the atmosphere was to decrease the apparent temperature difference according to atmospheric transmission t, i.e., the apparent temperature difference was assumed to be equal to 'rtT, where 'c is atmospheric transmission equal to ,r= exp(-I3atmL) (4) where latm5 path integrated average atmospheric extinction coefficient over path length L. In good weather, devices were considered to be resolution-limited, i.e., hardware-limited.9 In all cases, device performance was modeled according to MRT.…”

Section: Introductionmentioning

confidence: 99%

<title>Contrast-limited target acquisition: atmospheric and motion effects</title>

Hadar

Sadot

Dror

et al. 1995

Targets and Backgrounds: Characterization and Representation

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In this paper, the incorporation of atmospheric aerosol and turbulence blur and motion blur into visible, near infrared, and thermal infrared target acquisition modeling is considered. Here, we show how the target acquisition probabilities and, conversely, the ranges at which objects can be detected are changed by the inclusion of these real-life environmental effects whose blur is often significantly greater than that of imaging system hardware. It is assumed that images are contrast-limited rather than noise-limited, as is indeed the case with most visible, near infrared (IR) and thermal JR sensors. For short focal lengths with low angular magnification, such environmental blur effects on target acquisition are negligible. However, for longer focal lengths with large angular magnification, resolution is limited by them and this has a strong adverse effect on target acquisition probabilities, times and ranges. The considerable improvement possible with image correction for such environmental blur automatically in a fraction of a second is significant for contrast-limited imaging, and is discussed here too. Knowledge of such environmental MTF is essential to good system design and is also very useful in image restoration for any type of target or object.

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