Blind image quality assessment by relative gradient statistics and adaboosting neural network

Signal Processing Image Communication ◽

10.1016/j.image.2015.10.005 ◽

2016 ◽

Vol 40 ◽

pp. 1-15 ◽

Cited By ~ 81

Author(s):

Lixiong Liu ◽

Yi Hua ◽

Qingjie Zhao ◽

Hua Huang ◽

Alan Conrad Bovik

Keyword(s):

Neural Network ◽

Image Quality ◽

Quality Assessment ◽

Image Quality Assessment ◽

Blind Image Quality Assessment ◽

Blind Image

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Blind Image Quality Assessment Model Based on Deep Convolutional Neural Network

2018 IEEE 3rd International Conference on Cloud Computing and Internet of Things (CCIOT) ◽

10.1109/cciot45285.2018.9032508 ◽

2018 ◽

Author(s):

Lili Gao ◽

Chen He ◽

Wang Luo ◽

Yang Cui ◽

Qiang Fan ◽

...

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Deep Convolutional Neural Network ◽

Assessment Model ◽

Model Based ◽

Blind Image Quality Assessment ◽

Blind Image

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Visual Saliency Based Blind Image Quality Assessment via Convolutional Neural Network

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-70136-3_58 ◽

2017 ◽

pp. 550-557 ◽

Cited By ~ 2

Author(s):

Jie Li ◽

Yue Zhou

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Visual Saliency ◽

Blind Image Quality Assessment ◽

Blind Image

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Pair-Comparing Based Convolutional Neural Network for Blind Image Quality Assessment

Advances in Neural Networks – ISNN 2019 - Lecture Notes in Computer Science ◽

10.1007/978-3-030-22808-8_45 ◽

2019 ◽

pp. 460-468

Author(s):

Xue Qin ◽

Tao Xiang ◽

Ying Yang ◽

Xiaofeng Liao

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Blind Image Quality Assessment ◽

Blind Image

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Blind Image Quality Assessment Using Convolutional Neural Network

2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS) ◽

10.1109/csitss.2018.8768768 ◽

2018 ◽

Author(s):

M. Jaishree ◽

N.V. Subba Reddy

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Blind Image Quality Assessment ◽

Blind Image

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Blind Image Quality Assessment with Visual Sensitivity Enhanced Dual-Channel Deep Convolutional Neural Network

2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX) ◽

10.1109/qomex48832.2020.9123124 ◽

2020 ◽

Author(s):

Min Zhang ◽

Lei Zhang ◽

Wenjing Hou ◽

Jun Feng

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Visual Sensitivity ◽

Deep Convolutional Neural Network ◽

Dual Channel ◽

Blind Image Quality Assessment ◽

Blind Image

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Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network

IEEE Transactions on Circuits and Systems for Video Technology ◽

10.1109/tcsvt.2018.2886771 ◽

2020 ◽

Vol 30 (1) ◽

pp. 36-47 ◽

Cited By ~ 24

Author(s):

Weixia Zhang ◽

Kede Ma ◽

Jia Yan ◽

Dexiang Deng ◽

Zhou Wang

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Blind Image Quality Assessment ◽

Blind Image

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Blind Image Quality Assessment via Convolutional Neural Network

2016 9th International Symposium on Computational Intelligence and Design (ISCID) ◽

10.1109/iscid.2016.1057 ◽

2016 ◽

Author(s):

Meiyin Wu ◽

Li Chen

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Blind Image Quality Assessment ◽

Blind Image

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MSANet: multi-scale attention guided deep neural network for blind image quality assessment

10.1117/12.2624147 ◽

2021 ◽

Author(s):

Xiaoyu Ma ◽

Jiaojiao Wang

Keyword(s):

Neural Network ◽

Image Quality ◽

Quality Assessment ◽

Deep Neural Network ◽

Image Quality Assessment ◽

Multi Scale ◽

Blind Image Quality Assessment ◽

Blind Image

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Convolutional Neural Network for Blind Image Quality Assessment

Journal of Signal Processing ◽

10.2299/jsp.23.267 ◽

2019 ◽

Vol 23 (6) ◽

pp. 267-275

Author(s):

Yadanar Khaing ◽

Yosuke Sugiura ◽

Tetsuya Shimamura

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Blind Image Quality Assessment ◽

Blind Image

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Convolutional Neural Network and Saliency Selection for Blind Image Quality Assessment

2018 25th IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2018.8451654 ◽

2018 ◽

Cited By ~ 2

Author(s):

Aladine Chetouani

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Blind Image Quality Assessment ◽

Selection For ◽

Blind Image

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