2134/22915
Jiachen Yang
Jiachen
Yang
Yafang Wang
Yafang
Wang
Baihua Li
Baihua
Li
Wen Lu
Wen
Lu
Qinggang Meng
Qinggang
Meng
Zhihan Lv
Zhihan
Lv
Dezong Zhao
Dezong
Zhao
Zhiqun Gao
Zhiqun
Gao
Quality assessment metric of stereo images considering cyclopean integration and visual saliency
Loughborough University
2016
Binocular combination
Human visual system
Saliency
Stereoscopic image quality assessment
Visual attention
Information and Computing Sciences not elsewhere classified
2016-10-20 10:14:05
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/Quality_assessment_metric_of_stereo_images_considering_cyclopean_integration_and_visual_saliency/9227198
In recent years, there has been great progress in the wider use of three-dimensional (3D) technologies. With increasing sources of 3D content, a useful tool is needed to evaluate the perceived quality of the 3D videos/images. This paper puts forward a framework to evaluate the quality of stereoscopic images contaminated by possible symmetric or asymmetric distortions. Human visual system (HVS) studies reveal that binocular combination models and visual saliency are the two key factors for the stereoscopic image quality assessment (SIQA) metric. Therefore inspired by such findings in HVS, this paper proposes a novel saliency map in SIQA metric for the cyclopean image called “cyclopean saliency”, which avoids complex calculations and produces good results in detecting saliency regions. Moreover, experimental results show that our metric significantly outperforms conventional 2D quality metrics and yields higher correlations with human subjective judgment than the state-of-art SIQA metrics. 3D saliency performance is also compared with “cyclopean saliency” in SIQA. It is noticed that the proposed metric is applicable to both symmetric and asymmetric distortions. It can thus be concluded that the proposed SIQA metric can provide an effective evaluation tool to assess stereoscopic image quality.