An Optimum Shift-and-Weighted brightness mapping for low-illumination image restoration-Reference-Cited by-同舟云学术

An Optimum Shift-and-Weighted brightness mapping for low-illumination image restoration

Published:2019-03-20 Issue:4 Volume:67 Page:187-201
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Peng Yeping¹^ORCID,Shi Haiyan²,Wu Hongkun³,Li Ruowei³,Kwok Ngaiming³^ORCID,Liu San Chi³,Liu Shilong³,Rahnam Md Arifur³

Affiliation:

1. Shenzhen Key Laboratory of Electromagnetic Control, College of Mechatronics and Control, Engineering, Shenzhen University, Shenzhen, People’s Republic of China

2. School of Computer Science and Technology, Shaoxing University, Shaoxing, People’s Republic of China

3. School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, Australia

Funder

Natural Science Foundation of Guangdong Province, China

Shenzhen Science and Technology Planning Project, China

Natural Science Foundation of Shenzhen University, China

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2019.1592891

Reference23 articles.

1. Combining Region-of-Interest Extraction and Image Enhancement for Nighttime Vehicle Detection

2. A new algorithm for improving the low contrast of computed tomography images using tuned brightness controlled single-scale Retinex

3. A Novel Enhancement Algorithm Combined with Improved Fuzzy Set Theory for Low Illumination Images

4. Dynamic color image resolution compensation under low light

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