Facial Image Denoising Using Convolutional Autoencoder Network

Noise effects can interfere the face recognition process in outdoor conditions. Therefore, image denoising topic is the classical issue in the field of image processing and computer vision subjects. In this paper, we show that the solution of denoising process using the autoencoder networks based on...

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Veröffentlicht in:2020 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) S. 1 - 5
Hauptverfasser: Tun, Naing Min, Gavrilov, Alexander I., Tun, Nyan Linn
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.05.2020
Schlagworte:
Autoencoder
convolutional neural networks
Face recognition
image denoising
Image recognition
Industrial engineering
Neural networks
Noise reduction
Training
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Zusammenfassung:Noise effects can interfere the face recognition process in outdoor conditions. Therefore, image denoising topic is the classical issue in the field of image processing and computer vision subjects. In this paper, we show that the solution of denoising process using the autoencoder networks based on the ORL face database. The proposed method can support face recognition systems designed for use in an outdoor environment as the preprocessing stage and it can provide the effective results after training process.
DOI:10.1109/ICIEAM48468.2020.9112080