LLNet: A deep autoencoder approach to natural low-light image enhancement

In surveillance, monitoring and tactical reconnaissance, gathering visual information from a dynamic environment and accurately processing such data are essential to making informed decisions and ensuring the success of a mission. Camera sensors are often cost-limited to capture clear images or vide...

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Bibliographic Details

Published in:	Pattern recognition Vol. 61; pp. 650 - 662
Main Authors:	Lore, Kin Gwn, Akintayo, Adedotun, Sarkar, Soumik
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2017
Subjects:	Deep autoencoders Image enhancement Natural low-light images Image enhancement Deep autoencoders Natural low-light images
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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