Low light combining multiscale deep learning networks and image enhancement algorithm

Aiming at the lack of reference images for low-light enhancement tasks and the problems of color distortion, texture loss, blurred details, and difficulty in obtaining ground-truth images in existing algorithms, this paper proposes a multi-scale weighted feature low-light based on Retinex theory an...

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Bibliographic Details
Main Authors: Ся Ю, Лин Бо, Чен Синь
Format: Article
Language:English
Published: Siberian Scientific Centre DNIT 2022-11-01
Series:Современные инновации, системы и технологии
Subjects:
Online Access:https://oajmist.com/index.php/12/article/view/195