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LightenNet: a Convolutional Neural Network for weakly illuminated image enhancement

Li, Chongyi; Guo, Jichang; Porikli, Fatih; Pang, Yanwei

Description

Weak illumination or low light image enhancement as pre-processing is needed in many computer vision tasks. Existing methods show limitations when they are used to enhance weakly illuminated images, especially for the images captured under diverse illumination circumstances. In this letter, we propose a trainable Convolutional Neural Network (CNN) for weakly illuminated image enhancement, namely LightenNet, which takes a weakly illuminated image as input and outputs its illumination map that is...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
URI: http://hdl.handle.net/1885/139409
Source: Pattern Recognition Letters
DOI: 10.1016/j.patrec.2018.01.010

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