scholarly journals Binocular Rivalry Oriented Predictive Autoencoding Network for Blind Stereoscopic Image Quality Measurement

2021 ◽  
Vol 70 ◽  
pp. 1-13
Author(s):  
Jiahua Xu ◽  
Wei Zhou ◽  
Zhibo Chen ◽  
Suiyi Ling ◽  
Patrick Le Callet
Keyword(s):  
Image Quality ◽  
Binocular Rivalry ◽  
Quality Measurement ◽  
Stereoscopic Image

scholarly journals Learning to Measure Stereoscopic S3D Image Perceptual Quality on the Basis of Binocular Rivalry Response

2019 ◽  
Vol 9 (18) ◽  
pp. 3906
Author(s):  
Siyuan Huang ◽  
Wujie Zhou
Keyword(s):  
Image Quality ◽  
Binocular Rivalry ◽  
Quality Measurement ◽  
Research Field ◽  
Perceptual Quality ◽  
Evaluation Performance ◽  
Stereoscopic 3D ◽  
Performance Loss ◽  
Challenging Issue ◽  
Évaluation Performance

Blind perceptual quality measurement of stereoscopic 3D (S3D) images has become an important and challenging issue in the research field of S3D imaging. In this paper, a blind S3D image quality measurement (IQM) method that does not depend on examples of distorted S3D images and corresponding subjective scores is proposed. As the main contribution of this work, we replace human subjective scores with a quality codebook of binocular rivalry responses (BRRs); this allows blind S3D-IQM methods to be learned without evaluation performance loss. Our results, using the publicly accessible LIVE S3D dataset, confirm that our method is highly robust and efficient.

A Full-Reference Stereoscopic Image Quality Measurement Via Hierarchical Deep Feature Degradation Fusion

2020 ◽  
Vol 69 (12) ◽  
pp. 9784-9796 ◽  
Author(s):  
Qiuping Jiang ◽  
Wei Zhou ◽  
Xiongli Chai ◽  
Guanghui Yue ◽  
Feng Shao ◽  
...  
Keyword(s):  
Image Quality ◽  
Quality Measurement ◽  
Stereoscopic Image ◽  
Full Reference ◽  
Deep Feature
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