September 2020 - colorsync-users

Re: Humans (and cameras and scanners) do not have a color gamut (?)
by Rich Wagner 19 Oct '20

19 Oct '20

I agree with Florian’s responses below regarding how we “know” what animals “see.” The parallel question is how we “know” what women with tetrachromatic vision “see.” There is a very good article from the BBC that describes this that might help. https://www.bbc.com/future/article/20140905-the-women-with-super-human-visi… Here’s a short excerpt from the excellent story: Proving that these people actually see the world differently has involved a two-decade journey, however. Although the relevant combination of genes does not seem to be especially rare – perhaps 12% of women might have four distinct cones – many of the people that Jordan tested just didn’t seem to show any differences in their perception. But by 2010, she had found a subject who perfectly acted the part of a tetrachromat. Jordan’s “acid test” involved coloured discs showing different mixtures of pigment, such as a green made of yellow and blue. The mixtures were too subtle for most people to notice: almost all people would see the same shade of olive green, but each combination should give out a subtly different spectrum of light that would be perceptible to someone with a fourth cone. Sure enough, Jordan’s subject was able to differentiate between the different mixtures each time <http://www.journalofvision.org/content/10/8/12.full>. “When you ask them to discriminate between the two mixtures, a tetrachromat can do it very quickly. They don’t hesitate,” says Jordan. Unfortunately, much of the research in color perception is highly complex and often difficult for the lay public to comprehend. Good science writers can translate that research into language the lay public can understand. Poor science writing leads to exaggerated claims and misinformation. That said, the title of this article is a bit over the top. I don’t think these women have “super human vision” any more than those who are colorblind have “sub human vision.” Both have visual perception that is significantly different from the average of our species. —Rich > OnMon, 13 Jan 2020 19:40:11 +0100, Florian Hoech <lists+colorsync-users(a)hoech.org <mailto:lists+colorsync-users@hoech.org>> wrote: > [snip] >> Not a single case can be made by anyone?s fisthand information about the post processing by the brains of these animals. Who can know what they see or apprehend? > > You can draw pretty useful conclusions (meaning they work well in > real-life, thus supporting the respective theories) from all the > scientific research that has been done. "Color" perception is not just > "nice to have". Trichromats (like humans) have an evolutionary edge over > (say) dichromats, e.g. when it comes to distinguish edible/nutritious > from inedible/less nutritious food like fruits etc. When you look at the > M and L cone responses of any trichromat, you can see that the responses > of the "sensors" (cones) largely overlap. Yet, we seem to perceive the > "end result", green and red, as very different colors (opposites even!). > >> Since humans communicate with each other about color we can build models and references and so on. But animals? Yet, experts are quick to supply examples of how things must appear to non-humans. > > I think you may be conflating the actual research with how it is > presented (usually not by the researchers themselves), broken down and > simplified in newspapers/magazines/articles, online and offline, meant > for consumption by the general public. > >> When we grant that all of these theories are onto something about the ways animals percieve color we account for their differences by describing them in terms of ?gamuts?. > > I like the term "dimensions". A Tetrachromat has an additional dimension > of "color". > >> Surprise: experts determine gamuts based on the sensor alone! They don?t even seem to be the slightest bit unhappy about it. > > ...where? And who? Dimensionality alone doesn't really tell us much > about gamuts. > > Florian. >

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Starting next week—London Imaging Meeting Online | REGISTER TODAY!
by Roberta Morehouse 22 Sep '20

22 Sep '20

3 Days. Live Online Courses + Tech Sessions with Recordings for Post-event Viewing London Imaging Meeting 2020 Online (LIM 2020): Future Colour Imaging 29 September – 1 October 2020 LIM 2020 is an online topic-based conference featuring innovative new research and case studies that impact the future of imaging science. The program includes keynotes from professors Laurence Maloney (NYU) and Felix Heide (Princeton), and focal talks from Jon Hardeberg, Ronnier Luo, Raimondo Schettini, Hannah Smithson, and Philipp Urban. Save $125 with the LIM 2020 Meeting Pass (Meeting pass price of $410 vs. individually priced LIM registration, courses, and tutorial total cost of $535) Gain access to the technical program, both short courses, and the tutorial Register Today! https://bit.ly/LIMRegister *Recordings of all keynotes, talks, sessions, courses, and the tutorial will be available for viewing until 15 January 2021 for registered attendees. PROGRAM OVERVIEW Explore the full program—https://bit.ly/LIMProgram 29 September: 8:00-13:00 | Short Courses & Tutorial • Comprehensive Colour Appearance Modelling (CCAM), Ming Ronnier Luo, Zhejiang University (China) • Chromatic Adaptation and Its Application in Imaging System, Minchen (Tommy) Wei, The Hong Kong Polytechnic University (Hong Kong) • Tutorial: Understanding Color and Your Camera, Prof. Michael Brown, York University (Canada) *tutorial complimentary with conference registration 30 September: 9:00 – 15:45 | Sessions, Focal Talks, Interactive Papers (Posters), & Keynote • Session I: Color Science and Applications • Session II: Perception • Session III: Visibility • 15:45 - Keynote: Designing Cameras to Detect the “Invisible”: Towards Domain-Specific Computational Imaging, Felix Heide, Princeton University (US) 1 October: 9:00 – 15:20 | Sessions, Focal Talks, Interactive Papers (Posters)/ Work-in-Progress Posters, Keynote, & Best Paper Award Presentation • Session IV: Image Reproduction • Session V: Computer Vision • 14:20 - Keynote: Surface Color Perception in Realistic Scenes: Previews of a Future Color Science, Laurence Maloney, New York University (US) • 15:20 - Best Paper Award Presentation and Closing Remarks Connect with our community on LinkedIn and Twitter @ImagingOrg #LondonImaging Roberta Morehouse, CMP Communications and Marketing Manager Society for Imaging Science and Technology (IS&T) www.imaging.org<http://www.imaging.org/>

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London Imaging Meeting Online, 29 Sept.-1 Oct. | Short Courses, Tutorial, Keynotes/Focal Talks + more
by Roberta Morehouse 02 Sep '20

02 Sep '20

Revised Program Announced for the London Imaging Meeting 2020 Online (LIM 2020): Future Colour Imaging | 29 September - 1 October 2020 LIM 2020 is now an online topic-based conference featuring innovative new research and case studies that impact the future of imaging science. The expanded program includes keynotes from professors Laurence Maloney (NYU) and Felix Heide (Princeton), and focal talks from Jon Hardeberg, Ronnier Luo, Raimondo Schettini, Hannah Smithson, and Philipp Urban. Save $125 with the LIM 2020 Meeting Pass (Meeting pass price of $410 vs. individually priced LIM registration, courses, and tutorial total cost of $535) Gain access to the technical program, both short courses, and the tutorial Register Today! https://bit.ly/LIMRegister *Recordings of all keynotes, talks, sessions, courses, and the tutorial will be available for viewing until 15 January 2021 for registered attendees. PROGRAM OVERVIEW Explore the full program-https://bit.ly/LIMProgram 29 September: 8:00-13:00 | Short Courses & Tutorial * Comprehensive Colour Appearance Modelling (CCAM), Ming Ronnier Luo, Zhejiang University (China) * Chromatic Adaptation and Its Application in Imaging System, Minchen (Tommy) Wei, The Hong Kong Polytechnic University (Hong Kong) * Tutorial: Understanding Color and Your Camera, Prof. Michael Brown, York University (Canada) *tutorial complimentary with conference registration 30 September: 9:00 - 15:45 | Sessions, Focal Talks, Interactive Papers (Posters), & Keynote * Session I: Color Science and Applications * Session II: Perception * Session III: Visibility * 15:45 - Keynote: Designing Cameras to Detect the "Invisible": Towards Domain-Specific Computational Imaging, Felix Heide, Princeton University (US) 1 October: 9:00 - 15:20 | Sessions, Focal Talks, Interactive Papers (Posters)/ Work-in-Progress Posters, Keynote, & Best Paper Award Presentation * Session IV: Image Reproduction * Session V: Computer Vision * 14:20 - Keynote: Surface Color Perception in Realistic Scenes: Previews of a Future Color Science, Laurence Maloney, New York University (US) * 15:20 - Best Paper Award Presentation and Closing Remarks Connect with our community on LinkedIn and Twitter @ImagingOrg #LondonImaging Roberta Morehouse, CMP Communications and Marketing Manager Society for Imaging Science and Technology (IS&T) www.imaging.org<http://www.imaging.org/>

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