Low-Light Image Enhancement for UAVs With Multi-Feature Fusion Deep Neural Networks-Reference-Cited by-同舟云学术

Low-Light Image Enhancement for UAVs With Multi-Feature Fusion Deep Neural Networks

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Singh Anirudh¹^ORCID,Chougule Amit²^ORCID,Narang Pratik¹^ORCID,Chamola Vinay²^ORCID,Yu F. Richard³^ORCID

Affiliation:

1. Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS)-Pilani, Pilani, India

2. Department of Electrical and Electronics Engineering, Anuradha and Prashanth Palakurthi Centre for Artificial Intelligence Research (APPCAIR), Birla Institute of Technology and Science (BITS)-Pilani, Pilani, India

3. Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09791380.pdf?arnumber=9791380

Reference24 articles.

1. Low-light maritime image enhancement with regularized illumination optimization and deep noise suppression;guo;arXiv 2008 03765,2020

2. Underexposed Photo Enhancement Using Deep Illumination Estimation

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

4. Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract)

5. Deep retinex decomposition for low-light enhancement;wei;Proc Brit Mach Vis Conf,2018

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