Low-Light Image Enhancement Using Image-to-Frequency Filter Learning

Low-Light Image Enhancement Using Image-to-Frequency Filter Learning

Low-light image (LLI) enhancement techniques have recently demonstrated remarkable progress especially with the use of deep learning (DL) approaches. Yet most existing techniques adopt an image-to-image learning paradigm where DL model architectures are constrained due to latent image feature recons...

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Bibliographic Details
Main Author: Al Sobbahi, Rayan (author)
Other Authors: Tekli, Joe (author)
Format: conferenceObject
Published: 2022
Subjects:
Image analysis > Congresses
Image processing > Digital techniques > Congresses
Online Access:http://hdl.handle.net/10725/16288
https://doi.org/10.1007/978-3-031-06430-2_58
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://link.springer.com/chapter/10.1007/978-3-031-06430-2_58
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http://hdl.handle.net/10725/16288
https://doi.org/10.1007/978-3-031-06430-2_58
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
https://link.springer.com/chapter/10.1007/978-3-031-06430-2_58

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