2019
DOI: 10.1109/tetci.2018.2804885
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No-Reference Stereoscopic Image Quality Assessment Based on Image Distortion and Stereo Perceptual Information

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Cited by 34 publications
(12 citation statements)
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“…In each case, the results of the best-performance metric are marked in bold. According to the experimental results in this table, Shen et al's method [22] performs best on asymmetrically distorted stereoscopic images in the LIVE 3D IQA database Phase II, and our proposed scheme achieves higher consistency with human opinion scores on the other two databases. Moreover, the PLCC and SRCC values for our scheme are above 0.912 and 0.907, respectively, on all databases, which demonstrate that the proposed scheme exhibits a good stability to quantify and predict the perceptual distortions of 3D images.…”
Section: Overall Performance Comparisonmentioning
confidence: 85%
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“…In each case, the results of the best-performance metric are marked in bold. According to the experimental results in this table, Shen et al's method [22] performs best on asymmetrically distorted stereoscopic images in the LIVE 3D IQA database Phase II, and our proposed scheme achieves higher consistency with human opinion scores on the other two databases. Moreover, the PLCC and SRCC values for our scheme are above 0.912 and 0.907, respectively, on all databases, which demonstrate that the proposed scheme exhibits a good stability to quantify and predict the perceptual distortions of 3D images.…”
Section: Overall Performance Comparisonmentioning
confidence: 85%
“…ese mainly include two 2D-IQA methods (PSNR and multiscale structural similarity (MS-SSIM) [55]), two FR 3D-IQA methods (Benoit et al's method [13] and Chen et al's method [8]), and three NR 3D-IQA methods (Zhou and Yu's method [56], Fan et al's method [41], and Shen et al's method [22]). For the previous two 2D-IQA approaches, the predicted quality score of a stereoscopic image was obtained by averaging the left and right image qualities.…”
Section: Overall Performance Comparisonmentioning
confidence: 99%
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“…Since a cyclopean image can reflect the comprehensive stimulus and binocular perception of left and right views, it is often used to calculate the perceived quality of three-dimensional scene [15]. Shen et al [25] proposed an NR 3D IQA method, which uses a new disparity search algorithm to compute a cyclopean image. Liu et al [26] computed a cyclopean image by utilizing a 3D saliency map to weight the left and right views.…”
Section: Introductionmentioning
confidence: 99%