A deep learning approach to image quality assessment

• Main Author: Feng, Yeli
• Other Authors: Cai Yiyu
• Format: Theses and Dissertations
• 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
• Institution: Nanyang Technological University

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...