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Revealing the dark side of a subjective study: Learnings from noise and sharpness ratings.

, , and . QoMEX, page 1-5. IEEE, (2015)

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DCT statistics model-based blind image quality assessment., , and . ICIP, page 3093-3096. IEEE, (2011)Blind Prediction of Natural Video Quality., , and . IEEE Trans. Image Processing, 23 (3): 1352-1365 (2014)Towards Category-Based Aesthetic Models of Photographs., , , and . MMM, volume 7131 of Lecture Notes in Computer Science, page 63-76. Springer, (2012)Objective Consumer Device Photo Quality Evaluation., , and . IEEE Signal Process. Lett., 22 (10): 1516-1520 (2015)Blind S3D image quality prediction using classical and non-classical receptive field models., , , , and . Signal Process. Image Commun., (2020)Breaking down the problem of blind video quality evaluation., and . IQSP, volume 9016 of SPIE Proceedings, page 90160N. SPIE, (2014)Consumer-photo quality assessment: Challenges and pitfalls in crowdsourcing., , , , , and . QoMEX, page 1-6. IEEE, (2016)Subtle consumer-photo quality evaluation., , , , , and . ICIP, page 3778-3782. IEEE, (2016)Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality., , , , , , and . Qual. User Exp., (2018)A Completely Blind Video Integrity Oracle., , and . IEEE Trans. Image Processing, 25 (1): 289-300 (2016)