Perspectives on the definition of visually lossless for mobile and large format displays. Allison, R. S., Brunnström, K., Chandler, D. M., Colett, H., Corriveau, P., Daly, S., Goel, J., Knopf, J., Wilcox, L. M., Yaacob, Y., Yang, S., & Zhang, Y. Journal of Electronic Imaging, 27(5):053035, 2018. ![Perspectives on the definition of visually lossless for mobile and large format displays [link]](https://bibbase.org/img/filetypes/link.svg "link")
-1 doi abstract bibtex Advances in imaging and display engineering have given rise to improved and new image and video applications which aim to maximize visual quality under given resource constraints (e.g., power, bandwidth). Because the human visual system is an imperfect sensor, the images/videos can be represented in a mathematically lossy fashion, but with enough fidelity that the losses are visually imperceptible—commonly termed ``visually lossless.'' Although, a great deal of research has focused on gaining a better understanding of the limits of human vision when viewing natural images/video, a universally or even largely accepted definition of ``visually lossless'' remains elusive. Differences in testing methodologies, research objectives, and target applications have led to multiple ad-hoc definitions that are often difficult to compare to or otherwise employ in other settings. In this paper, we present a compendium of technical experiments relating to both vision science and visual quality testing that together explore the research and business perspectives of visually lossless image quality, as well as review recent scientific advances. Together, the studies presented in this paper suggest that a single definition of visually lossless quality might not be appropriate; rather, a better goal would be to establish varying levels of visually lossless quality that can be quantified in terms of the testing paradigm.
@article{Allison:2018fr,
abstract = {Advances in imaging and display engineering have given rise to improved and new image and video applications which aim to maximize visual quality under given resource constraints (e.g., power, bandwidth). Because the human visual system is an imperfect sensor, the images/videos can be represented in a mathematically lossy fashion, but with enough fidelity that the losses are visually imperceptible---commonly termed ``visually lossless.'' Although, a great deal of research has focused on gaining a better understanding of the limits of human vision when viewing natural images/video, a universally or even largely accepted definition of ``visually lossless'' remains elusive. Differences in testing methodologies, research objectives, and target applications have led to multiple ad-hoc definitions that are often difficult to compare to or otherwise employ in other settings. In this paper, we present a compendium of technical experiments relating to both vision science and visual quality testing that together explore the research and business perspectives of visually lossless image quality, as well as review recent scientific advances. Together, the studies presented in this paper suggest that a single definition of visually lossless quality might not be appropriate; rather, a better goal would be to establish varying levels of visually lossless quality that can be quantified in terms of the testing paradigm. },
annote = {Manuscript Title:
Authors: Robert Allison, Kjell Brunnstrom, Damon Chandler, Hannah Colett, Philip Corriveau, Scott Daly, James Goel, Juliana Knopf, Laurie Wilcox, Yusizwan Yaacob, Shun-nan Yang, and Yi Zhang
Paper Number: JEI 170771P
},
author = {Allison, R. S. and Brunnstr\"om, K. and Chandler, D. M. and Colett, H. and Corriveau, P. and Daly, S. and Goel, J. and Knopf, J. and Wilcox, L. M. and Yaacob, Y. and Yang, S. and Zhang, Y.},
date-added = {2018-09-12 14:13:00 +0000},
date-modified = {2019-02-03 08:55:51 -0500},
doi = {10.1117/1.JEI.27.5.053035},
journal = {Journal of Electronic Imaging},
keywords = {Image Quality},
number = {5},
pages = {053035},
title = {Perspectives on the definition of visually lossless for mobile and large format displays},
url-1 = {https://doi.org/10.1117/1.JEI.27.5.053035},
volume = {27},
year = {2018},
url-1 = {https://doi.org/10.1117/1.JEI.27.5.053035}}
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Because the human visual system is an imperfect sensor, the images/videos can be represented in a mathematically lossy fashion, but with enough fidelity that the losses are visually imperceptible—commonly termed ``visually lossless.'' Although, a great deal of research has focused on gaining a better understanding of the limits of human vision when viewing natural images/video, a universally or even largely accepted definition of ``visually lossless'' remains elusive. Differences in testing methodologies, research objectives, and target applications have led to multiple ad-hoc definitions that are often difficult to compare to or otherwise employ in other settings. In this paper, we present a compendium of technical experiments relating to both vision science and visual quality testing that together explore the research and business perspectives of visually lossless image quality, as well as review recent scientific advances. 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