Learning to See in the Dark
Imaging in low light is challenging due to low photon count and low SNR. Short-exposure images suffer from noise, while long exposure can induce blur and is often impractical. A variety of denoising, deblurring, and enhancement techniques have been proposed, but their effectiveness is limited in ext...
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Published in | 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 3291 - 3300 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2018
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Subjects | |
Online Access | Get full text |
ISSN | 1063-6919 |
DOI | 10.1109/CVPR.2018.00347 |
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