Multi-layer fusion network for blind stereoscopic 3D visual quality prediction

Author:

Zhou Wujie,Lin Xinyang,Zhou Xi,Lei Jingsheng,Yu Lu,Luo Ting

Funder

Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference44 articles.

1. A stereoscopic image quality assessment model based on independent component analysis and binocular fusion property;Geng;Signal Process., Image Commun.,2017

2. Adaboost neural network and cyclopean view for no-reference stereoscopic image quality assessment;Messai;Signal Process., Image Commun.,2020

3. Subjective evaluation of stereoscopic image quality;Moorthy;Signal Process. Image Commun.,2013

4. No-reference quality assessment of natural stereopairs;Chen;IEEE Trans. Image Process.,2013

5. J. You, L. Xing, A. Perkis, X. Wang, Perceptual quality assessment for stereoscopic images based on 2D image quality metrics and disparity analysis, in: Proc. Int. Workshop Video Process. Qaulity Metrics Consum. Elect. 2010, pp. 1–6.

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