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Low Cost Recovery of Spectral Power Distributions., , , and . CEIG, page 39-48. Eurographics Association, (2014)Assessing Color Discernibility in HDR Imaging using Adaptation Hulls., , , , , and . CIC, page 336-343. Society for Imaging Science and Technology, (2018)Low Cost Recovery of Spectral Power Distributions., , , and . CEIG, page 39-48. Eurographics Association, (2014)Colour Correction for Assessing Plant Pathology using Low Quality Cameras., , , and . BIOINFORMATICS, page 326-331. SciTePress, (2011)HDR and wide gamut appearance-based color encoding and its quantification., , , and . PCS, page 357-360. IEEE, (2013)Encoding Color Difference Signals for High Dynamic Range and Wide Gamut Imagery., , , , , , and . CIC, page 240-247. Society for Imaging Science and Technology, (2015)Practical Low-Cost Recovery of Spectral Power Distributions., , and . Comput. Graph. Forum, 35 (1): 166-178 (2016)Preference limits of the visual dynamic range for ultra high quality and aesthetic conveyance., , , , and . Human Vision and Electronic Imaging, volume 8651 of SPIE Proceedings, page 86510J. SPIE, (2013)A high bit depth digital imaging pipeline for vision research., , and . APGV, page 121. ACM, (2011)Spatiochromatic and temporal natural image statistics modelling: Applications from display analysis to neural networks., , , and . Color Imaging: Displaying, Processing, Hardcopy, and Applications, page 188:1-188:7. Society for Imaging Science and Technology, (2023)