25 February 1994 Intensified cameras: a method of image-quality optimization for visual observation
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Proceedings Volume 2103, 22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs; (1994) https://doi.org/10.1117/12.169461
Event: 22nd Applied Imagery Pattern Recognition Workshop, 1993, Washington, DC, United States
Abstract
It is preferred in low-light-level imaging to maximize the large-area signal-to-noise output of automated intensified cameras. In part this actually stems from the desired ruggedness of the cameras and historical technical limitations. Review of the current status of automated intensified camera technology suggests that alternative methods of automated operation are both feasible and desired; maximizing the signal-to-noise ratio at a range of low-light levels requires compromise in other parameters influential to the quality of the final output image, and the resulting subjective image quality may not be the best potentially attainable. The two opposing factors in low-light-level imaging are, noise and image blur, determined by the photon statistics plus image intensifier gain, and the optical transfer function (OTF) of the camera, respectively. The results of psychophysical techniques used to determine subjective detection thresholds in images containing known amounts of noise and image blur facilitate the optimization of image quality in an intensified camera, through correlation with measured OTF and noise power spectra for the low-light-level operation of the camera.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bronwen Ley, Bronwen Ley, } "Intensified cameras: a method of image-quality optimization for visual observation", Proc. SPIE 2103, 22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs, (25 February 1994); doi: 10.1117/12.169461; https://doi.org/10.1117/12.169461
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