Rain Removal From Light Field Images With 4D Convolution and Multi-Scale Gaussian Process-Reference-Cited by-同舟云学术

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Rain Removal From Light Field Images With 4D Convolution and Multi-Scale Gaussian Process

Published:2023 Issue: Volume:32 Page:921-936
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Yan Tao¹^ORCID,Li Mingyue¹,Li Bin¹^ORCID,Yang Yang²^ORCID,Lau Rynson W. H.³^ORCID

Affiliation:

1. School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China

2. Department of Computer Science, Jiangsu University, Zhenjiang, China

3. Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province, China

two Strategic Research Grants from the City University of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10017170.pdf?arnumber=10017170

Reference76 articles.

1. SwinIR: Image Restoration Using Swin Transformer

2. Very deep convolutional networks for large-scale image recognition;simonyan;Proc ICLR,2015

4. Gaussian process priors with ARMA noise models;murray-smith;Proc Irish Signals Syst Conf,2001

5. Attention-Based View Selection Networks for Light-Field Disparity Estimation

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