OPT OpenIR  > 瞬态光学技术国家重点实验室
Dynamical stochastic resonance for nonuniform illumination image enhancement
Zhang, Yongbin1,2; Liu, Hongjun1,3; Huang, Nan1; Wang, Zhaolu1
作者部门瞬态光学技术国家重点实验室
2018-12-01
发表期刊IET Image Processing
ISSN17519659;
卷号12期号:12页码:2147-2152
产权排序1
摘要

Images taken under poor illumination conditions have low contrast and dark tones. General dark image enhancement algorithms cannot effectively enhance these images without introducing over-enhancement, detail loss, and noise amplification. In this study, a simple and fast enhancement technique of non-uniform illumination images is proposed based on dynamical stochastic resonance (DSR). The low-contrast images are enhanced through the nonlinear iteration by solving monostable Langevin equation. Iteration parameters are dynamically adjusted according to the intensity distribution of the original images, which ensure the balance of visibility and naturalness in the entire areas. A threshold is defined to automatically confirm the optimal outputs. The enhanced image is obtained by fusing the DSR result, original component, and illumination compensation component. The computational time, no-reference perceptual quality assessment, and lightness order error are measured to evaluate the performance of experimental results. The subjective and objective comparison with state-of-the-art methods shows that our method performs well to enhance the non-uniform illumination images with a low-computational complexity. © 2018, The Institution of Engineering and Technology.

关键词Image Enhancement Image Fusion Stochastic Processes Iterative Methods Differential Equations Brightness Dynamical Stochastic Resonance Nonuniform Illumination Image Enhancement Dark Tones Low-contrast Image Enhancement Nonlinear Iteration Monostable Langevin Equation Iteration Parameters Intensity Distribution Visibility Balance Naturalness Balance Illumination Compensation Component Computational Time No-reference Perceptual Quality Assessment Lightness Order Error Low-computational Complexity
DOI10.1049/iet-ipr.2018.5634
收录类别SCI ; EI
语种英语
WOS记录号WOS:000451759800002
出版者Institution of Engineering and Technology
EI入藏号20184906212039
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30847
专题瞬态光学技术国家重点实验室
通讯作者Liu, Hongjun
作者单位1.State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China;
2.University of Chinese Academy of Sciences, Beijing; 100084, China;
3.Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan; 030006, China
推荐引用方式
GB/T 7714
Zhang, Yongbin,Liu, Hongjun,Huang, Nan,et al. Dynamical stochastic resonance for nonuniform illumination image enhancement[J]. IET Image Processing,2018,12(12):2147-2152.
APA Zhang, Yongbin,Liu, Hongjun,Huang, Nan,&Wang, Zhaolu.(2018).Dynamical stochastic resonance for nonuniform illumination image enhancement.IET Image Processing,12(12),2147-2152.
MLA Zhang, Yongbin,et al."Dynamical stochastic resonance for nonuniform illumination image enhancement".IET Image Processing 12.12(2018):2147-2152.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Dynamical stochastic(6231KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, Yongbin]的文章
[Liu, Hongjun]的文章
[Huang, Nan]的文章
百度学术
百度学术中相似的文章
[Zhang, Yongbin]的文章
[Liu, Hongjun]的文章
[Huang, Nan]的文章
必应学术
必应学术中相似的文章
[Zhang, Yongbin]的文章
[Liu, Hongjun]的文章
[Huang, Nan]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Dynamical stochastic resonance for nonuniform illumination image enhancement.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。