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Deep learning for fast super-resolution reconstruction from multiple images

  • Published:2019-05-14 Issue: Volume: Page:
  • ISSN:
  • Container-title:Real-Time Image Processing and Deep Learning 2019
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Author:

Kawulok Michal,Benecki Pawel V.,Hrynczenko Krzysztof,Kostrzewa Daniel,Piechaczek Szymon,Nalepa Jakub,Smolka Bogdan

Publisher

SPIE

Reference26 articles.

1. Super-resolution: a comprehensive survey

2. Image super-resolution: The techniques, applications, and future

3. Single-image super resolution for multispectral remote sensing data using CNNs;Liebel,2016

4. Super-resolution microwave imaging: Time-domain tomography using highly accurate evolutionary optimization method;Yang,2015

5. Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning

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1. Enhancement of Accuracy in Facial Age Identification using Comparing the Ensemble Support Vector Machine Algorithm to the Linear Regression Algorithm;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

2. Deep Reparametrization of Multi-Frame Super-Resolution and Denoising;2021 IEEE/CVF International Conference on Computer Vision (ICCV);2021-10

3. Super Resolution Digital Image Correlation (SR-DIC): an Alternative to Image Stitching at High Magnifications;Experimental Mechanics;2021-05-13

4. Deep Networks With Detail Enhancement for Infrared Image Super-Resolution;IEEE Access;2020

5. Study of the Behavior of Super Resolution on Soft-Classified Output;Journal of the Indian Society of Remote Sensing;2019-08-06
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