Low-light Image Enhancement Based on Retinex Theory by Convolutional Neural Network

Low-light Image Enhancement Based on Retinex Theory by Convolutional Neural Network

In the course of decomposing and enhancing the low-light images with Retinex model,it needs to manually adjust the parameters continuously to reach the optimal solution,which will reduce the efficiency of the entire process.In addition,existing low-light image enhancement methods based on Retinex fa...

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Bibliographic Details
Main Author: ZHAO Zheng-peng, LI Jun-gang, PU Yuan-yuan
Format: Article
Language:zho
Published: Editorial office of Computer Science 2022-06-01
Series:Jisuanji kexue
Subjects:
low-light image enhancement|retinex theory|convolutional neural network|improved dncnn model|convolutional block attention model
Online Access:https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-6-199.pdf

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https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-6-199.pdf

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