Convolutional neural network for noise reduction to improve the quality of images obtained using active-pulse television measuring systems

The paper presents a software implementation of an image recovery algorithm using a convolutional neural network. An example of using the developed algorithm in the context of noise reduction of images obtained using active-pulse television measuring systems is presented. The result obtained with a...

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Bibliographic Details
Published in:Journal of physics. Conference series 2022-07, Vol.2291 (1), p.12007
Main Authors: Novgorodov, A, Borodina, N, Kuryachiy, M
Format: Article
Language:English
Subjects:
Algorithms
Artificial neural networks
Image quality
Noise reduction
Physics
Television
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Summary:The paper presents a software implementation of an image recovery algorithm using a convolutional neural network. An example of using the developed algorithm in the context of noise reduction of images obtained using active-pulse television measuring systems is presented. The result obtained with a convolutional neural network is better than classical filtering algorithms (PSNR higher by 2.01 dB).
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2291/1/012007