A deep learning approach to image quality assessment

A deep learning approach to image quality assessment

Deep convolutional neural networks (DCNNs) have an unchallengeable performance advantage over traditional machine learning in solving visual problems. However, DCNNs are vulnerable when the input signals are distorted or manipulated maliciously. We explore the computational modeling of image quality...

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Bibliographic Details
Main Author: Feng, Yeli
Other Authors: Cai Yiyu
Format: Thesis
Language:English
Published: 2019
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/85493
http://hdl.handle.net/10220/50465

Internet

https://hdl.handle.net/10356/85493
http://hdl.handle.net/10220/50465

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