Presenter(s)
Wu Cheng
Files
Download Project (2.2 MB)
Description
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.
Publication Date
4-9-2015
Project Designation
Graduate Research
Primary Advisor
Keigo Hirakawa
Primary Advisor's Department
Electrical and Computer Engineering
Keywords
Stander Symposium project
Disciplines
Arts and Humanities | Business | Education | Engineering | Life Sciences | Medicine and Health Sciences | Physical Sciences and Mathematics | Social and Behavioral Sciences
Recommended Citation
"Image Restoration Under Low Illumination" (2015). Stander Symposium Projects. 652.
https://ecommons.udayton.edu/stander_posters/652
Included in
Arts and Humanities Commons, Business Commons, Education Commons, Engineering Commons, Life Sciences Commons, Medicine and Health Sciences Commons, Physical Sciences and Mathematics Commons, Social and Behavioral Sciences Commons
