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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格式: | Theses and Dissertations |
語言: | English |
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2019
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在線閱讀: | https://hdl.handle.net/10356/85493 http://hdl.handle.net/10220/50465 |
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機構: | Nanyang Technological University |
語言: | English |
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