End-to-End Deep Multi-Score Model for No-Reference Stereoscopic Image Quality Assessment
Author:
Affiliation:
1. Univ Lyon,Univ Lyon 2, CNRS, INSA Lyon, UCBL, LIRIS, UMR5205,Bron,France,F-69676
2. University of Orleans,PRISME Laboratory,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897616.pdf?arnumber=9897616
Reference22 articles.
1. A Blind Stereoscopic Image Quality Evaluator With Segmented Stacked Autoencoders Considering the Whole Visual Perception Route
2. No-reference stereoscopic image quality evaluator with segmented monocular features and perceptual binocular features
3. No-reference stereoscopic image quality assessment using quaternion wavelet transform and heterogeneous ensemble learning
4. Predicting Stereoscopic Image Quality via Stacked Auto-Encoders Based on Stereopsis Formation
5. Subjective evaluation of stereoscopic image quality
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