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Content aware quantization: Requantization of high dynamic range baseband signals based on visual masking by noise and texture.

, , , , and . ICIP, page 884-888. IEEE, (2016)

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Assessing Color Discernibility in HDR Imaging using Adaptation Hulls., , , , , and . CIC, page 336-343. Society for Imaging Science and Technology, (2018)Comparing a spatial extension of ICTCP color representation with S-CIELAB and other recent color metrics for HDR and WCG quality assessment., and . Color Imaging: Displaying, Processing, Hardcopy, and Applications, page 1-10. Society for Imaging Science and Technology, (2020)Combining Quality Metrics using Machine Learning for improved and robust HDR Image Quality Assessment., and . IQSP, Society for Imaging Science and Technology, (2019)Advantages of Incorporating Perceptual Component Models into a Machine Learning framework for Prediction of Display Quality., and . IQSP, Society for Imaging Science and Technology, (2018)Industry and business perspectives on the distinctions between visually lossless and lossy video quality: Mobile and large format displays., , , , , , , , , and 2 other author(s). HVEI, page 118-133. Society for Imaging Science and Technology, (2017)Encoding Color Difference Signals for High Dynamic Range and Wide Gamut Imagery., , , , , , and . CIC, page 240-247. Society for Imaging Science and Technology, (2015)HDR Image Quality Assessment Using Machine-Learning Based Combination of Quality Metrics., and . GlobalSIP, page 91-95. IEEE, (2018)Combining Quality Metrics for Improved HDR Image Quality Assessment., and . MIPR, page 179-184. IEEE, (2019)HDR Display Quality Evaluation by incorporating Perceptual Component Models into a Machine Learning framework., and . Signal Process. Image Commun., (2019)Machine learning as applied intrinsically to individual dimensions of HDR Display Quality., and . PCS, page 303-307. IEEE, (2018)