Files

Download

Download Full Text (2.3 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 poster

Disciplines

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

Share

COinS