Low-Light Image Enhancement Based on Deep Symmetric Encoder–Decoder Convolutional Networks

Low-Light Image Enhancement Based on Deep Symmetric Encoder–Decoder Convolutional Networks

A low-light image enhancement method based on a deep symmetric encoder−decoder convolutional network (LLED-Net) is proposed in the paper. In surveillance and tactical reconnaissance, collecting visual information from a dynamic environment and accurately processing that data is critical to...

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Bibliographic Details
Main Authors:	Qiming Li, Haishen Wu, Lu Xu, Likai Wang, Yueqi Lv, Xinjie Kang
Format:	Article
Language:	English
Published:	MDPI AG 2020-03-01
Series:	Symmetry
Subjects:	deep convolutional neural network convolution–deconvolution residual network low-light image enhancement symmetric encoder–decoder network structure
Online Access:	https://www.mdpi.com/2073-8994/12/3/446

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