A deep learning framework for audio restoration using Convolutional/Deconvolutional Deep Autoencoders
A Nogales, S Donaher, Á García-Tejedor - Expert Systems with Applications, 2023 - Elsevier
People communicate daily with their mobile phones and in some cases, the quality of the
communication may be vital. Thus, there is a clear interest in improving the quality of …
communication may be vital. Thus, there is a clear interest in improving the quality of …
Conventional neural network for blind image blur correction using latent semantics
S Gowthami, R Harikumar - Soft Computing, 2020 - Springer
In this work, deep learning for enhancing the sharpness of blurred image is investigated.
Initial pre-processing is blur image kernel estimation which is critical for blind image de …
Initial pre-processing is blur image kernel estimation which is critical for blind image de …
Restoration of historical document images using convolutional neural networks
Historical documents are priceless, irreplaceable and an integral part of national and world
history. Handwritten documents can be a letter, notes, journal, memoir etc. or any formally …
history. Handwritten documents can be a letter, notes, journal, memoir etc. or any formally …
[引用][C] Analyzing the Side Effects of Blur in Image Classification with Convolutional Neural Networks
AF Yelkuvan, NI Cinbis - 2021
[引用][C] Information extraction from sales flyers using semi-supervised learning
H Palacios Mosquera - Fen Bilimleri Enstitüsü