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Image Process."},{"issue":"2","key":"10.1016\/j.displa.2026.103538_b72","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1109\/TIP.2005.859378","article-title":"Image information and visual quality","volume":"15","author":"Sheikh","year":"2006","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"10.1016\/j.displa.2026.103538_b73","doi-asserted-by":"crossref","first-page":"2378","DOI":"10.1109\/TIP.2011.2109730","article-title":"Fsim: A feature similarity index for image quality assessment","volume":"20","author":"Zhang","year":"2011","journal-title":"IEEE Trans. Image Process."},{"issue":"10","key":"10.1016\/j.displa.2026.103538_b74","doi-asserted-by":"crossref","first-page":"4270","DOI":"10.1109\/TIP.2014.2346028","article-title":"Vsi: A visual saliency-induced index for perceptual image quality assessment","volume":"23","author":"Zhang","year":"2014","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"10.1016\/j.displa.2026.103538_b75","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1016\/j.image.2013.05.006","article-title":"Full-reference quality assessment of stereopairs accounting for rivalry","volume":"28","author":"Chen","year":"2013","journal-title":"Signal Process., Image Commun."},{"issue":"11","key":"10.1016\/j.displa.2026.103538_b76","doi-asserted-by":"crossref","first-page":"3400","DOI":"10.1109\/TIP.2015.2446942","article-title":"Quality prediction of asymmetrically distorted stereoscopic 3d images","volume":"24","author":"Wang","year":"2015","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.displa.2026.103538_b77","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.image.2017.08.011","article-title":"Binocular spatial activity and reverse saliency driven no-reference stereopair quality assessment","volume":"58","author":"Liu","year":"2017","journal-title":"Signal Process., Image Commun."},{"key":"10.1016\/j.displa.2026.103538_b78","first-page":"1","article-title":"Blind stereoscopic omnidirectional image quality assessment via a binocular viewport hypergraph convolutional network","author":"Wan","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.displa.2026.103538_b79","series-title":"Perceptual quality assessment for stereoscopic images based on 2D image quality metrics and disparity analysis","author":"You","year":"2010"},{"issue":"1","key":"10.1016\/j.displa.2026.103538_b80","article-title":"Quality assessment of stereoscopic images","volume":"2008","author":"Benoit","year":"2009","journal-title":"EURASIP J. Image Video Process."},{"key":"10.1016\/j.displa.2026.103538_b81","doi-asserted-by":"crossref","unstructured":"C.T.E.R. Hewage, M.G. Martini, Reduced-reference quality metric for 3D depth map transmission, in: 2010 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2010, pp. 1\u20134.","DOI":"10.1109\/3DTV.2010.5506205"},{"issue":"2","key":"10.1016\/j.displa.2026.103538_b82","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s11045-012-0178-3","article-title":"A perceptual metric for stereoscopic image quality assessment based on the binocular energy","volume":"24","author":"Bensalma","year":"2013","journal-title":"Multidimens. Syst. 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