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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Bibliographic Details

Published in:	Proceedings of ... International Joint Conference on Neural Networks pp. 1 - 7
Main Authors:	Rodriguez-Rodriguez, Jose A., Molina-Cabello, Miguel A., Benitez-Rochel, Rafaela, Lopez-Rubio, Ezequiel
Format:	Conference Proceeding
Language:	English
Published:	IEEE 18.07.2021
Subjects:	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
Online Access:	Get full text
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