Deblurring Reconstruction of Monitoring Video in Smart Grid Based on Depth-wise Separable Convolutional Neural Network-Reference-Cited by-同舟云学术

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Deblurring Reconstruction of Monitoring Video in Smart Grid Based on Depth-wise Separable Convolutional Neural Network

Published:2022-04-15 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)
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Author:

Zuo Songlin¹,Wang Ming²,Ni Yanyan³,Ren Weijun⁴

Affiliation:

1. Anhui Mingsheng Power Investment Group Company Ltd,Hefei,Anhui,China

2. Electric Power Research Institute State Grid Anhui Electric Power Co., Ltd.,Hefei,Anhui,China

3. Marketing Service Center, State Grid Anhui Electric Power Co., Ltd.,Hefei,Anhui,China

4. School of Information Engineering Chang’an University,Xi’an,Shaanxi,China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9778230/9778231/09778689.pdf?arnumber=9778689

Reference25 articles.

1. Adversarial Spatio-Temporal Learning for Video Deblurring

2. Optical Flow Estimation with Convolutional Neural Nets

3. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

4. Video Enhancement with Task-Oriented Flow

5. Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

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