Perceptual stereoscopic image quality assessment method with tensor decomposition and manifold learning-Reference-Cited by-同舟云学术

Perceptual stereoscopic image quality assessment method with tensor decomposition and manifold learning

Published:2018-05 Issue:5 Volume:12 Page:810-818
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Jiang Gangyi¹,He Meiling¹,Yu Mei¹,Shao Feng¹,Peng Zongju¹

Affiliation:

1. Faculty of Information Science and EngineeringNingbo UniversityNingboPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2017.0650

Reference32 articles.

1. Stereoscopic image quality assessment method based on binocular combination saliency model;Liu Y.;Signal Process.,2016

2. 2013 Proc. SPIE Human Vision and Electronic Imaging XVIII A.K. Moorthy A.C. Bovik A survey on 3D quality of experience and 3D quality assessment 86510M 86510M‐11

3. Quality analysis for 3D video using 2D video quality models

4. 2008 IEEE Int. Conf. on Image Processing San Diego CA USA A. Benoit P.L. Callet P. Campisi R. Cousseau Using disparity for quality assessment of stereoscopic images 389 392

5. 2010 Fifth Int. Workshop on Video Processing and Quality Metrics for Consumer Electronics Scottsdale Arizona USA J. You L. Xing A. Perkis Perceptual quality assessment for stereoscopic images based on 2D image quality metrics and disparity analysis 4033 4036

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Blind stereoscopic image quality assessment using 3D saliency selected binocular perception and 3D convolutional neural network;Multimedia Tools and Applications;2022-03-09

2. Rich Structural Index for Stereoscopic Image Quality Assessment;Sensors;2022-01-10

3. Tensor local linear embedding with global subspace projection optimisation;IET Computer Vision;2021-11-23

4. Dimensionality reduction of tensor data based on local linear embedding and mode product;Journal of Intelligent & Fuzzy Systems;2021-09-15

5. Learning Local Quality-Aware Structures of Salient Regions for Stereoscopic Images via Deep Neural Networks;IEEE Transactions on Multimedia;2020-11