Fast and robust low-light image enhancement based on iterative propagation network
Image Processing|更新时间:2023-07-27
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Fast and robust low-light image enhancement based on iterative propagation network
“In the field of low light image enhancement, this work designed an iterative propagation network, which significantly improved image quality and inference speed through a multi-stage prediction model and Retinex based iterative loop. The experimental results show that this method outperforms existing algorithms in peak signal-to-noise ratio and structural similarity, providing an effective solution for enhancing low light images in complex scenes.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 7, Pages: 971-979(2024)
作者机构:
江南大学 理学院, 江苏 无锡 214122
作者简介:
基金信息:
National Natural Science Foundation of China(12004141)
XIAO Zhibo, JIANG Zhilong, KONG Yan. Fast and robust low-light image enhancement based on iterative propagation network[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 971-979.
DOI:
XIAO Zhibo, JIANG Zhilong, KONG Yan. Fast and robust low-light image enhancement based on iterative propagation network[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 971-979. DOI: 10.37188/CJLCD.2023-0199.
Fast and robust low-light image enhancement based on iterative propagation network