Low-Light Images In-the-Wild: A Novel Visibility Perception-Guided Blind Quality Indicator-Reference-Cited by-同舟云学术

Low-Light Images In-the-Wild: A Novel Visibility Perception-Guided Blind Quality Indicator

Author:

Wang Miaohui¹^ORCID,Huang Yijing²^ORCID,Xiong Jian³,Xie Wuyuan⁴^ORCID

Affiliation:

1. Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China

2. College of Information and Electronics Engineering, Shenzhen University, Shenzhen, China

3. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

4. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Natural Science Foundation of Shenzhen City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference40 articles.

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2. MSCI: A Multi-Source Composite Image Database for Compression Distortion Quality Assessment;2022 IEEE International Conference on Visual Communications and Image Processing (VCIP);2022-12-13