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Atmospheric turbulence removal with complex-valued convolutional neural network

  • Published:2023-07 Issue: Volume:171 Page:69-75
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Anantrasirichai Nantheera

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference34 articles.

1. Online blind image deconvolution for astronomy;Harmeling,2009

2. Mitigating the effects of atmospheric distortion using DT-CWT fusion;Anantrasirichai,2012

3. Progress in the restoration of image sequences degraded by atmospheric turbulence;Gal;Pattern Recognit. Lett.,2014

4. Atmospheric turbulence mitigation for sequences with moving objects using recursive image fusion;Anantrasirichai,2018

5. Artificial intelligence in the creative industries: a review;Anantrasirichai;Artif. Intell. Rev.,2021

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1. Dual-Domain Cooperative Recovery of Atmospheric Turbulence Degradation Images;Remote Sensing;2024-08-14

2. Detection of atmospheric turbulence parameters in free space optical communication;Journal of Optical Communications;2024-02-27

3. Monte Carlo-Based Restoration of Images Degraded by Atmospheric Turbulence;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024

4. Imaging Through the Atmosphere Using Turbulence Mitigation Transformer;IEEE Transactions on Computational Imaging;2024

5. 基于网格网络的大气湍流退化图像复原;Laser & Optoelectronics Progress;2024
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