Noisy image classification using hybrid deep learning methods

In real-world scenario, image classification models degrade in performance as the images are corrupted with noise, while these models are trained with preprocessed data. Although deep neural networks (DNNs) are found efficient for image classification due to their deep layer-wise design to emulate l...

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Bibliographic Details
Main Authors: Roy, Sudipta Singha, Ahmed, Mahtab, Akhand, Muhammad Aminul Haque
Format: Article
Language:English
Published: Universiti Utara Malaysia Press 2018
Subjects:
Online Access:http://repo.uum.edu.my/24025/1/JICT%20%2018%202%202018%20233%E2%80%93269.pdf
http://repo.uum.edu.my/24025/
http://jict.uum.edu.my/index.php/current-issues#A4
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Institution: Universiti Utara Malaysia
Language: English