Blind Stereoscopic Image Quality Assessment Based on Hierarchical Learning

Blind Stereoscopic Image Quality Assessment Based on Hierarchical Learning

We proposed a blind image quality assessment model which used classification and prediction for three-dimensional (3D) image quality assessment (denoted as CAP-3DIQA) that can automatically evaluate the quality of stereoscopic images. First, in the classification stage, the model separated the disto...

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Bibliographic Details
Main Authors: Tsung-Jung Liu, Ching-Ti Lin, Hsin-Hua Liu, Soo-Chang Pei
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Hierarchical learning
image quality assessment
no reference
stereoscopic images
Online Access:https://ieeexplore.ieee.org/document/8598817/

Internet

https://ieeexplore.ieee.org/document/8598817/

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