Test time augmentation by regular shifting for deep denoising autoencoder networks

Image restoration, which is the process of denoising noisy images in order to recover their latent clean images, has been frequently addressed. The importance of this field resides in the impact of noisy images on the performance of computer vision systems. In this work, a deep autoencoder neural ne...

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Vydané v:	Proceedings of ... International Joint Conference on Neural Networks s. 1 - 7
Hlavní autori:	Rodriguez-Rodriguez, Jose A., Molina-Cabello, Miguel A., Benitez-Rochel, Rafaela, Lopez-Rubio, Ezequiel
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 18.07.2021
Predmet:	autoencoder convolutional neural networks Gaussian noise image classification Image restoration Neural networks Noise measurement Noise reduction Statistical analysis Storage tanks test time augmentation
ISSN:	2161-4407
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