Zero-Shot Parameter Learning Network for Low-Light Image Enhancement in Permanently Shadowed Regions-Reference-Cited by-同舟云学术

Zero-Shot Parameter Learning Network for Low-Light Image Enhancement in Permanently Shadowed Regions

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Fengqi¹^ORCID,Tu Zhigang¹^ORCID,Hao Weifeng²^ORCID,Chen Yihao¹^ORCID,Li Fei³^ORCID,Ye Mao¹^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and the Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province of China

Space Optoelectronic Measurement and Perception Laboratory in Beijing Institute of Control Engineering

Fundamental Research Funds for the Central Universities

Natural Science Fund of Shenzhen

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10580917.pdf?arnumber=10580917

Reference55 articles.

1. Lunar Reconnaissance Orbiter (LRO): Observations for Lunar Exploration and Science

2. A Dynamic Histogram Equalization for Image Contrast Enhancement

3. Properties and performance of a center/surround retinex

4. Zero-Shot Restoration of Back-lit Images Using Deep Internal Learning

5. Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement