An Improved Method to Enhance Low Illumination Image Based on Retinex Theory

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工艺装备与智能机器人研究室

	An Improved Method to Enhance Low Illumination Image Based on Retinex Theory
	Fu B(傅博)2,3,4; Fan HJ(范慧杰)4; Rong QX(荣庆轩)1
	2020
会议日期	December 11-13, 2020
会议地点	Virtual, Online, China
关键词	Low-illumination Image enhancement Retinex theory Covolutional neural network
页码	97-101
英文摘要	The computer vision technology is applied more and more extensively. In order to improve the effectiveness of various computer vision algorithms, the enhancement for low-illumination image is now playing an important role as image preprocessing. Aiming at the problems of image restoration and adaptive illumination adjustment, we proposed an improved low-illuminance image enhancement method based on convolutional neural network and Retinex theory. We first decompose the low-illuminance image into a reflection component and an illuminance component. Secondly, a convolutional neural network is designed for each of the two components. The reflection component branch restores the details of the image, and the illuminance component branch adaptively adjusts the image illuminance. Finally, the image is reconstructed. The experiments result show that our method has a better performance in SSIM and PSNR. Moreover, the image noise is well suppressed and the image details are also enhanced visually.
产权排序	1
会议录	CSAI 2020 - Proceedings of 2020 4th International Conference on Computer Science and Artificial Intelligence
会议录出版者	ACM
会议录出版地	New York
语种	英语
ISBN号	978-1-4503-8843-6
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/28701]
专题	工艺装备与智能机器人研究室
通讯作者	Fan HJ(范慧杰)
作者单位	1.College of Information Science and Engineering, Northeastern University, Shenyang 110819, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 4.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式 GB/T 7714	Fu B,Fan HJ,Rong QX. An Improved Method to Enhance Low Illumination Image Based on Retinex Theory[C]. 见:. Virtual, Online, China. December 11-13, 2020.