Blind Stereoscopic Image Quality Assessment By Deep Neural Network Of Multi-Level Feature Fusion

2020 IEEE International Conference on Multimedia and Expo (ICME) ◽

10.1109/icme46284.2020.9102888 ◽

2020 ◽

Author(s):

Jiebin Yan ◽

Yuming Fang ◽

Liping Huang ◽

Xiongkuo Min ◽

Yiru Yao ◽

...

Keyword(s):

Neural Network ◽

Image Quality ◽

Quality Assessment ◽

Deep Neural Network ◽

Image Quality Assessment ◽

Feature Fusion ◽

Stereoscopic Image ◽

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No-reference Stereoscopic Image Quality Assessment Using Binocular Self-similarity and Deep Neural Network

Signal Processing Image Communication ◽

10.1016/j.image.2016.07.003 ◽

2016 ◽

Vol 47 ◽

pp. 346-357 ◽

Author(s):

Yaqi Lv ◽

Mei Yu ◽

Gangyi Jiang ◽

Feng Shao ◽

Zongju Peng ◽

...

Keyword(s):

Neural Network ◽

Image Quality ◽

Quality Assessment ◽

Deep Neural Network ◽

Image Quality Assessment ◽

Stereoscopic Image ◽

Self Similarity

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No-Reference Stereoscopic Image Quality Assessment Based on Convolutional Neural Network with A Long-Term Feature Fusion

2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) ◽

10.1109/vcip49819.2020.9301854 ◽

2020 ◽

Author(s):

Sumei Li ◽

Mingyi Wang

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Feature Fusion ◽

Stereoscopic Image

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No-Reference Stereoscopic Image Quality Assessment Using Convolutional Neural Network for Adaptive Feature Extraction

IEEE Access ◽

10.1109/access.2018.2851255 ◽

2018 ◽

Vol 6 ◽

pp. 37595-37603 ◽

Author(s):

Yong Ding ◽

Ruizhe Deng ◽

Xin Xie ◽

Xiaogang Xu ◽

Yang Zhao ◽

...

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Stereoscopic Image ◽

Adaptive Feature Extraction

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Stereoscopic Image Quality Assessment Weighted Guidance by Disparity Map Using Convolutional Neural Network

2019 IEEE Visual Communications and Image Processing (VCIP) ◽

10.1109/vcip47243.2019.8965670 ◽

2019 ◽

Author(s):

Yixiu Ding ◽

Sumei Li ◽

Yongli Chang

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Stereoscopic Image ◽

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A Multi-Task Convolutional Neural Network For Blind Stereoscopic Image Quality Assessment Using Naturalness Analysis

10.1109/icip42928.2021.9506639 ◽

2021 ◽

Author(s):

Salima Bourbia ◽

Ayoub Karine ◽

Aladine Chetouani ◽

Mohammed El Hassoun

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Stereoscopic Image

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Stereoscopic image quality assessment by deep convolutional neural network

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2018.12.006 ◽

2019 ◽

Vol 58 ◽

pp. 400-406 ◽

Author(s):

Yuming Fang ◽

Jiebin Yan ◽

Xuelin Liu ◽

Jiheng Wang

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Deep Convolutional Neural Network ◽

Stereoscopic Image

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A deep neural network for image quality assessment

2016 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2016.7533065 ◽

2016 ◽

Author(s):

Sebastian Bosse ◽

Dominique Maniry ◽

Thomas Wiegand ◽

Wojciech Samek

Keyword(s):

Neural Network ◽

Image Quality ◽

Quality Assessment ◽

Deep Neural Network ◽

Image Quality Assessment

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No-reference stereoscopic image quality assessment using 3D visual saliency maps fused with three-channel convolutional neural network

Signal Image and Video Processing ◽

10.1007/s11760-021-01987-2 ◽

2021 ◽

Author(s):

Chaofeng Li ◽

Lixia Yun ◽

Hui Chen ◽

Shoukun Xu

Keyword(s):

Neural Network ◽

Image Quality ◽

Convolutional Neural Network ◽

Quality Assessment ◽

Image Quality Assessment ◽

Visual Saliency ◽

Stereoscopic Image ◽

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Medical Image Quality Assessment Using CSO Based Deep Neural Network

Journal of Medical Systems ◽

10.1007/s10916-018-1089-0 ◽

2018 ◽

Vol 42 (11) ◽

Author(s):

J. Jayageetha ◽

C. Vasanthanayaki

Keyword(s):

Neural Network ◽

Image Quality ◽

Quality Assessment ◽

Medical Image ◽

Deep Neural Network ◽

Image Quality Assessment

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Image quality assessment for intelligent emergency application based on deep neural network

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2019.102581 ◽

2019 ◽

Vol 63 ◽

pp. 102581

Author(s):

Guanghui Wei ◽

Zhou Sheng

Keyword(s):

Neural Network ◽

Image Quality ◽

Quality Assessment ◽

Deep Neural Network ◽

Image Quality Assessment

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