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Simultaneous real-time visible and infrared video with single-pixel detectors
by
Edgar, Matthew. P.
, Welsh, Stephen S.
, Bowman, Richard W.
, Mitchell, Kevin J.
, Radwell, Neal
, Padgett, Miles J.
, Sun, Baoqing
, Gibson, Graham M.
in
639/624/1107/510
/ 639/766/400
/ 639/766/930/2735
/ Algorithms
/ Arrays
/ Cameras
/ Humanities and Social Sciences
/ Light
/ multidisciplinary
/ Noise
/ Science
/ Sensors
/ Smoke
/ Spatial discrimination
2015
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Simultaneous real-time visible and infrared video with single-pixel detectors
by
Edgar, Matthew. P.
, Welsh, Stephen S.
, Bowman, Richard W.
, Mitchell, Kevin J.
, Radwell, Neal
, Padgett, Miles J.
, Sun, Baoqing
, Gibson, Graham M.
in
639/624/1107/510
/ 639/766/400
/ 639/766/930/2735
/ Algorithms
/ Arrays
/ Cameras
/ Humanities and Social Sciences
/ Light
/ multidisciplinary
/ Noise
/ Science
/ Sensors
/ Smoke
/ Spatial discrimination
2015
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Simultaneous real-time visible and infrared video with single-pixel detectors
by
Edgar, Matthew. P.
, Welsh, Stephen S.
, Bowman, Richard W.
, Mitchell, Kevin J.
, Radwell, Neal
, Padgett, Miles J.
, Sun, Baoqing
, Gibson, Graham M.
in
639/624/1107/510
/ 639/766/400
/ 639/766/930/2735
/ Algorithms
/ Arrays
/ Cameras
/ Humanities and Social Sciences
/ Light
/ multidisciplinary
/ Noise
/ Science
/ Sensors
/ Smoke
/ Spatial discrimination
2015
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Simultaneous real-time visible and infrared video with single-pixel detectors
Journal Article
Simultaneous real-time visible and infrared video with single-pixel detectors
2015
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Overview
Conventional cameras rely upon a pixelated sensor to provide spatial resolution. An alternative approach replaces the sensor with a pixelated transmission mask encoded with a series of binary patterns. Combining knowledge of the series of patterns and the associated filtered intensities, measured by single-pixel detectors, allows an image to be deduced through data inversion. In this work we extend the concept of a ‘single-pixel camera’ to provide continuous real-time video at 10 Hz , simultaneously in the visible and short-wave infrared, using an efficient computer algorithm. We demonstrate our camera for imaging through smoke, through a tinted screen, whilst performing compressive sampling and recovering high-resolution detail by arbitrarily controlling the pixel-binning of the masks. We anticipate real-time single-pixel video cameras to have considerable importance where pixelated sensors are limited, allowing for low-cost, non-visible imaging systems in applications such as night-vision, gas sensing and medical diagnostics.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
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