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

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

The pervasion of 3-D technologies over the years gives rise to the increasing demands of accurate and efficient stereoscopic image quality assessment (SIQA) methods, designed to automatically supervise and optimize 3-D image and video processing systems. Though 2-D IQA has attracted considerable att...

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Bibliographic Details
Main Authors: Yong Ding, Ruizhe Deng, Xin Xie, Xiaogang Xu, Yang Zhao, Xiaodong Chen, Andrey S. Krylov
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Stereoscopic image quality assessment
no-reference
convolutional neural network
feature pooling
Online Access:https://ieeexplore.ieee.org/document/8399807/

Internet

https://ieeexplore.ieee.org/document/8399807/

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