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JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range., , , , , and . QoMEX, page 55-60. IEEE, (2023)Subjective Image Quality Assessment with Boosted Triplet Comparisons., , , and . CoRR, (2021)Subjective Assessment of Global Picture-Wise Just Noticeable Difference., , , , , and . ICME Workshops, page 1-6. IEEE, (2020)On Multi-agent Scheduling and Planning for Distributed Enactment of Web-Service Workflows., and . SWWS, page 55-61. CSREA Press, (2007)Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference., , , , , , and . IEEE Trans. Circuits Syst. Video Technol., 32 (9): 5859-5873 (2022)Blind Image and Video Quality Assessment.. University of Konstanz, Germany, (2018)BIQWS: efficient Wakeby modeling of natural scene statistics for blind image quality assessment., and . Multimedia Tools Appl., 76 (12): 13859-13880 (2017)Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition., , and . Sensors, 20 (5): 1308 (2020)Blind image quality assessment based on aesthetic and statistical quality-aware features., , and . J. Electronic Imaging, 26 (4): 43018 (2017)Blind Image Quality Assessment Through Wakeby Statistics Model., and . ICIAR, volume 9164 of Lecture Notes in Computer Science, page 14-21. Springer, (2015)