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.