Motion-Based Convolutional Neural Networks for Super-Resolution from Compressed Videos-Reference-Cited by-同舟云学术

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Motion-Based Convolutional Neural Networks for Super-Resolution from Compressed Videos

Published:2023-09-03 Issue: Volume: Page:33-38
ISSN:
Container-title:2023 IEEE 13th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)
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Author:

Chang Han-Yuan¹,Hsieh Hsiang-Yu¹,Lin Yih-Chuan²

Affiliation:

1. National Formosa University,Department of Computer Science and Information Engineering,Taiwan

2. Smart Machinery and Intelligent Manufacturing Research Center, National Formosa University,Department of Computer Science and Information Engineering,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10375611/10375583/10375648.pdf?arnumber=10375648

Reference25 articles.

1. Deep Learning for Single Image Super-Resolution: A Brief Review

2. Hybrid super-resolution combining example-based single-image and interpolation-based multi-image reconstruction approaches

3. Backpropagation Applied to Handwritten Zip Code Recognition

4. Super-Resolution Fluorescence Microscopy

5. Super-Resolution in Medical Imaging

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