ColorPolarNet: Residual Dense Network-Based Chromatic Intensity-Polarization Imaging in Low-Light Environment
Author:
Affiliation:
1. School of Electronic and Optical Engineering and the Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China
2. Shanghai Aerospace Control Technology Institute, Shanghai, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Shanghai Aerospace Science and Technology Innovation Foundation
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09926174.pdf?arnumber=9926174
Reference30 articles.
1. A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images
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