Restoration algorithm for noisy complex illumination-Reference-Cited by-同舟云学术

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Restoration algorithm for noisy complex illumination

Published:2018-09-07 Issue:2 Volume:13 Page:224-232
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Liu Zhanwen¹²,Gao Tao¹,Kong Fanjie¹,Jiao Ziheng¹,Yang Aodong¹,Li Shuying³^ORCID,Liu Bo⁴

Affiliation:

1. School of Information EngineeringChang'an UniversityXi'an710064ShaanxiPeople's Republic of China

2. Institute of Transportation StudiesUniversity of California, BerkeleyCity of BerkeleyState of California CA94804‐4648USA

3. School of AutomationXi'an University of Posts & TelecommunicationsXi'an710121ShaanxiPeople's Republic of China

4. Department of Computer Science and Software EngineeringAuburn UniversityAuburnState of Alabama, AL36849USA

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.5163

Reference49 articles.

1. A Retinex model based on Absorbing Markov Chains

2. Image restoration method based on fractional variable order differential

3. A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling

4. Adaptive residual networks for high‐quality image restoration;Zhang Y.;IEEE Trans. Image Process.,2018

5. Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks

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