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Image taken under low illumination suffers severe distortion as the photon counts received by the camera sensor is too low. By investigating the statistic properties of photon count, we can inverse such distortion and restore the scene even in the dark night.
Primary Advisor's Department
Electrical and Computer Engineering
Stander Symposium poster
Arts and Humanities | Business | Education | Engineering | Life Sciences | Medicine and Health Sciences | Physical Sciences and Mathematics | Social and Behavioral Sciences
"Image Restoration Under Low Illumination" (2015). Stander Symposium Posters. 652.
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