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http://dx.doi.org/10.5909/JBE.2019.24.4.623

Generating a Reflectance Image from a Low-Light Image Using Convolutional Neural Network  

Lee, Seungsoo (Department of Computer and Communications Eng., Kangwon National University)
Choi, Changyeol (Department of Computer and Communications Eng., Kangwon National University)
Kim, Manbae (Department of Computer and Communications Eng., Kangwon National University)
Publication Information
Journal of Broadcast Engineering / v.24, no.4, 2019 , pp. 623-632 More about this Journal
Abstract
Many researches have been carried out for brightness and contrast enhancement, illumination reduction and so forth. Recently, the aforementioned hand-crafted approaches have been replaced by artificial neural networks. This paper proposes a convolutional neural network that can replace the method of generating a reflectance image where illumination component is attenuated. Experiments are carried out on 102 low-light images and we validate the feasibility of the replacement by producing satisfactory reflectance images.
Keywords
Low-light image; Retinex; Convolutional neural network; Reflectance; Illumination;
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Times Cited By KSCI : 1  (Citation Analysis)
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