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Learning a No-Reference Quality Predictor of Stereoscopic Images by Visual Binocular Properties.

, , , , , and . IEEE Access, (2019)

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Gradient-weighted structural similarity for image quality assessments., , , and . ISCAS, page 2165-2168. IEEE, (2015)Video Saliency Detection by 3D Convolutional Neural Networks., and . IFTC, volume 815 of Communications in Computer and Information Science, page 245-254. Springer, (2017)Saliency-based artificial object detection for satellite images., , , , and . Visual Information Processing and Communication, volume 9410 of SPIE Proceedings, page 94100J. SPIE, (2015)Learning a No-Reference Quality Predictor of Stereoscopic Images by Visual Binocular Properties., , , , , and . IEEE Access, (2019)Quality assessment of 3D synthesized images via disoccluded region discovery., , , , and . ICIP, page 1012-1016. IEEE, (2016)Single Image Deraining: From Model-Based to Data-Driven and Beyond., , , , and . CoRR, (2019)Visual structural degradation based reduced-reference image quality assessment., , , , , and . Signal Process. Image Commun., (2016)Objective Quality Assessment of Screen Content Images by Uncertainty Weighting., , , , , and . IEEE Trans. Image Processing, 26 (4): 2016-2027 (2017)Just Noticeable Difference Estimation for Screen Content Images., , , , , and . IEEE Trans. Image Processing, 25 (8): 3838-3851 (2016)Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks., , , and . IEEE Trans. Image Process., 28 (5): 2305-2318 (2019)