A Pre-Saliency Map Based Blind Image Quality Assessment via Convolutional Neural Networks

2017 ◽  
Author(s):  
Zhengxue Cheng ◽  
Masaru Takeuchi ◽  
Jiro Katto
Keyword(s):  
Neural Networks ◽  
Image Quality ◽  
Quality Assessment ◽  
Convolutional Neural Networks ◽  
Image Quality Assessment ◽  
Saliency Map ◽  
Blind Image Quality Assessment ◽  
Blind Image

End-to-End Blind Image Quality Assessment Using Deep Neural Networks

2018 ◽  
Vol 27 (3) ◽  
pp. 1202-1213 ◽  
Author(s):  
Kede Ma ◽  
Wentao Liu ◽  
Kai Zhang ◽  
Zhengfang Duanmu ◽  
Zhou Wang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Image Quality ◽  
Quality Assessment ◽  
Deep Neural Networks ◽  
Image Quality Assessment ◽  
Blind Image Quality Assessment ◽  
End To End ◽  
Blind Image

scholarly journals Blind Image Quality Assessment for a Single Image From Text-to-Image Synthesis

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Wenxin Yu ◽  
Xuewen Zhang ◽  
Yunye Zhang ◽  
Zhiqiang Zhang ◽  
Jinjia Zhou
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Image Synthesis ◽  
Single Image ◽  
Blind Image Quality Assessment ◽  
Blind Image

Blind image quality assessment with semantic information

2019 ◽  
Vol 58 ◽  
pp. 195-204 ◽  
Author(s):  
Weiping Ji ◽  
Jinjian Wu ◽  
Guangming Shi ◽  
Wenfei Wan ◽  
Xuemei Xie
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Semantic Information ◽  
Image Quality Assessment ◽  
Blind Image Quality Assessment ◽  
Blind Image

Blind image quality assessment using a reciprocal singular value curve

2014 ◽  
Vol 29 (10) ◽  
pp. 1149-1157 ◽  
Author(s):  
Qingbing Sang ◽  
Xiaojun Wu ◽  
Chaofeng Li ◽  
Alan C. Bovik
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Singular Value ◽  
Blind Image Quality Assessment ◽  
Blind Image
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