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100 year old color theory updated

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A more precise model of color perception could have wide value in fields that depend on accurate color, including photography, video, visualization, and related technologies. It could also improve the way scientists create and interpret visual data.

How do you think it will affect phosphate photography?

Scientists finally complete Schrödinger’s 100-year-old color theory.​

 
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I wonder how this will affect all the differences between the different color gamuts like Adobe RGB, Prophoto RGB, RGB, etc.

How will this affect photographers' interpretation of "correct" colors when looking at a photo or editing RAW or scanned film photos?
 
I'll be that non-Riemannian profiles are on the drawing boards as we speak (write)!
 
It looks like this is claiming to have implications for fields like psychology and neuroscience but doesn’t really relate in any way to the purview of this forum.

Still an interesting read. Thanks for posting
 
Fascinating paper; but will it make a whit of difference in the practical world? I can't see it replacing extant 3 and 4-axis CIE mapping for analytic geometry derived programmable colorant applications, nor for any kind of conventional color matching, which doesn't need the math at all, just an understanding of key variables. Van Gogh didn't even own a slide rule. And where is their equation for eye fatigue?
 
I thought it implied photography because that's what the article says. I'm not a color expert, so I'll defer to others on that.

From the article: "...A more precise model of color perception could have wide value in fields that depend on accurate color, including photography, video, visualization, and related technologies. It could also improve the way scientists create and interpret visual data..."
 
I thought it implied photography because that's what the article says. I'm not a color expert, so I'll defer to others on that.

From the article: "...A more precise model of color perception could have wide value in fields that depend on accurate color, including photography, video, visualization, and related technologies. It could also improve the way scientists create and interpret visual data..."

That, and the following paragraph, are vague sales pitches... the kind of statements that researchers often make to summarize highly detailed research in hope of maintaining current funding or securing future funding. At this point what is being reported is what's known as "basic or pure research", a quest for new knowledge. That "wide value" needs an awful lot of future research to figure out the details and implications for potential practical applications.

It's really cool stuff, though, and I'm a bit shocked that a National Laboratory would be funding such research. This seems more like what a University would be supporting as a doctoral dissertation. I was expecting to see that mentioned in footnote of the published reports but didn't.

EDIT: I noticed in the formal publication of this research that the principal author was/is associated, both, with the National Lab and a University. Apparently the initial National Lab funding supported her Ph.D. and she currently is postdoc. Basic research is sometimes hard to sell compared to applied research. Good for her!
 
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I thought it implied photography because that's what the article says. I'm not a color expert, so I'll defer to others on that.

From the article: "...A more precise model of color perception could have wide value in fields that depend on accurate color, including photography, video, visualization, and related technologies. It could also improve the way scientists create and interpret visual data..."

It's a s t r e t c h. Photography, no. This is the kind of broad overstatement you tend to see in science communication.

In related news: https://www.sherwin-williams.com/en-us/the-loneliest-color/2026

🙂
 
That, and the following paragraph, are vague sales pitches... the kind of statements that researchers often make to summarize highly detailed research in hope of maintaining current funding or securing future funding.
It's a s t r e t c h. Photography, no. This is the kind of broad overstatement you tend to see in science communication.

Back in "the good Ole days" such pitches might include "... and it may someday lead to a cure for cancer."
 
For those interested in reading reading slightly more pertinent research it appears that the Color Imaging Conferences sponsored by the IS&T now make their conference proceedings available for free.

The most recent one was held in Hong Kong, I believe, and presented papers can be found here - https://library.imaging.org/cic/articles/33/1

Fwiw prior conference proceedings can be found here - https://library.imaging.org/cic/volumes

If one goes back into the late 1990s, perhaps, there would be a number of papers from the early days of ICC profiling.

As I recall the Color space known as Prophoto RGB was designed in roughly 2000, by kodak researchers (Kevin Spaulding as a principal author?). In the technical papers it was known as ROMM (Reference Ouput something Metric?). So if anyone is interested in the whys and how's of Prophoto RGB it can (most likely) be found in these papers.
 
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