Dual Autoencoder Network with Separable Convolutional Layers for Denoising and Deblurring Images

A dual autoencoder employing separable convolutional layers for image denoising and deblurring is represented. Combining two autoencoders is presented to gain higher accuracy and simultaneously reduce the complexity of neural network parameters by using separable convolutional layers. In the propose...

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Bibliographic Details
Main Authors: Elena Solovyeva, Ali Abdullah
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Journal of Imaging
Subjects:
Online Access:https://www.mdpi.com/2313-433X/8/9/250