Kitaoka’s (@akiyoshikitaoka) choice of forms here is a solid demonstration of the importance of segmentation-decomposition.

Notice how in this case we can yet again detect a configuration where the “pie wedge” has been segmented *differently* due to the gradient boundary conditions?

It is also worth noting that these sorts of configurations are tremendous demonstrations that our conventional theory around HKE is likely rubbish; the experience of “brightness” or “lightness” has a dependency on our cognition arriving at inferred configurations, and the segmentation-decomposition-assignment process.

As such, there are *no models* that will properly arrive at “lightness” or “brightness” beyond what the minimally distinct boundary quantification of Munsell has already achieved.

In *equiluminant* cases, the chrominance vector is *greater than* the luminance vector.

Describing the cognition as “lighter” or “brighter” under this lens is impoverished.

Is there a *difference* in the qualia of the experience? Absolutely. But the description that we muster is often *detatched* from the obvious-in-hindsight-only is likely an attempt to summarize a proximity construct; a *spatial* description of what we are cognizing.

As such, “brightness” and “lightness” are poor terms.

I would suggest that our understanding of these gradients in chrominance and luminance are *incredibly* useful as tools to understand segmentation-decomposition-assignment frameworks.

The facts of the matter are that while it is easy to “see” something, it is far more challenging to identify the cognitive heuristics at work that construct this “sight idea”.

Chrominance and Luminance relationships appear to govern more than mere “colour”, as we can see in the attached example.

As the author, I

had zero “authorial intent” to partition the picture into a highly probably segmented form. In fact, *quite the opposite*.

I had originally asserted that each row was equipment under a belief that *luminance invariance* would be one dimension of mathematical continuity. The slope of the luminance gradient on each row is *zero*.

Yet note how chrominance continuity disrupts the local continuity, and segmentation leads to forms emerging.

But let’s go a step further…

If we have evidence here of chrominance variegation tipping the cognitive scales toward segmentation, can we suggest that luminance also does so?

The answer is *of course*, but the notion of a luminance discontinuity signifying a segmented boundary condition is not the question I am posing.

My question is whether similar polarity variegations are *also* segmenting the cognized Cartesian-like internal model?

This “step series” is a case in point.

It happens to be the bogus L star rate of change from CIE Lab, and frankly, such models are pure, unadulterated horse manure.

But we should meditate on this sample.

A few observations.

* Discontinuous local frameworks segment each “step”. C1 continuity.
* Global frameworks appear to have some form of continuity; the steps can be segmented “as a whole”, into a “continuous” form.
* Under a global framework, it is plausible to suggest that we have an

example of a little thought of segmentation, along a “distance from us” partitioning.

If we agree that segmentation is an almost subconscious partitioning of the two dimensions relative to us, is it not reasonable to suggest that while less obvious, the segmentation is “natively 2.5 or 3D-like”?

And now, with the idea that segmentation-decomposition-assignment is “always on”, and “always natively 3D-ish”, what does that inform us about Kitaoka’s demonstrations?

@troy_s

While each swatch may be the same luminance, the red swatch has four times the chrominance as the other pastel colors.

And going back to "its convenient to think of chroma as hue dependent luminance."

While Legge et alia found that (for reading) luminance contrast and chroma contrast are not "additive", as for lightness perception, can we say that Helmholtz-Kohlrausch effect is loosely:

L* + C = HKe

With C values multiplied with some magic number for an estimated concordance vs L* values.

or

L + max(a,b) = HKe

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The fact that high chroma colors look brighter, is perhaps stated as:

Other things being equal, "lightness perception is directly affected as the sum of the luminance channel and the chrominance channel."

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@Myndex Not sure where the four times comes from?

We can verify mathematically that the chrominance of any triplet is `max(RGB) = luminance(RGB) + chrominance(RGB)`.

This leads to the peculiar fact that the B carries tremendous chrominance, and low luminance. R is second, with G third.

Weakest angle is ~575nm.

The question of the “lustre” of “reds” seeming stronger remains one that is intriguing.

@troy_s

Okay, so in the normal eye, there are more L cones than any other. Stim the L cones only, with the L cones making up the majority of the luminance signal (with L cone peak being a greenish yellow).

And meanwhile the S cones are not contributors to the luminance channel (any luminance from the display blue primary is due to the stim of the M and L cones).

The sRGB red primary creates about 21% luminance.

The first image is a neutral grey of 21% luminance #868686 against #f00 .(equal Ys, 0 C vs red 104 C)

The second image is #f00 v #860000 (Lc25)

The third is #009494 vs #f00
(equal Ys — 33 C v 104 C)

The 4th is #d11 v #06f
(equal Ys & equal chroma)

Note: Ys is "screen luminance"

----
Some very rough calcs:

#f00 mostly stims L cone to Ys=21.3%

#868686, the values are
R Ys= 4.5
G Ys=15.3
B Ys= 1.5

So #f00
L 16.6%
M 4.7%
L gets 3.5 x more than M

#868686
R
L cone 3.5%
M gets 1.0%,

G & B
Remaining 16.8%:
L 9.7%
M 8.9%
=
L for the Grey 13.2%
M for the Grey 9.9%

L 1.33 more than M

@troy_s

So from the rough example math in the previous, with #f00, the L cone is receiving 3.5 times more than M.

With the grey, L receives 1.33 times more than M (L cones are more populous).

With the grey, the ganglion cells are switched to where the signal is sent to light/dark.

With the red #f00, the L gets 26% more luminance than the grey, and also L is not really competing with M as here, L is getting 71% more than M.

Point: there are clearly a number of places where the physiology favors a vibrant red vs a grey of same luminance.

@Myndex As best as I have learned, this idea of “chroma” is not what causes the lustre.

The lustre is the boundary condition being partitioned into (hand wavy) four signals; increments and decrements, and ventral and dorsal streams.

The gradient then, is centred on some value, at each gradient fulcrum. (EG: Between two discrete samples in the highest spatial frequency case.)

“Contrast” ends up being a byproduct of these dual streams of processing, and the gradient regulation.

@Myndex I have yet to see any model that even remotely provides a reasonable approximation of the lustre, let alone explains it.

Nothing is gradient domain oriented, so it’s all nonsense.

@troy_s

I sense, due to the limitations of text in small chunks, I may be out of sync with the discussion... I wasn't trying to indicate that luster and chroma were specifically related, more that chroma as a "hue dependent luminance type measure" is in essence additive to luminance in terms of the sensation of vividness, pointing to HKe.

I think of luster as the perception of anisotropic qualities of a surface. I tend to think about this as a luminance channel related sensation, at least, it is present in achromatic stimuli.

And when you say gradient domain oriented, do you mean a gradient disregarding anchoring hi/lo clamping values?

As for the gradient fulcrum, I'm wondering if you mean the same as what I call "contrast center", the point for a given condition where the perceived contrast between a hi value and a lo value is equal (for practical terms, equally readable).

For an example, goto this link, then click "research mode" then select "split contrast" and adjust slider

https://www.myndex.com/SAPC/?BG=cccccc&TXT=333333&DEV=98G4g&RSH=true&SEL=radioSplit

@Myndex The “fulcrum” is some “origin” point. Similar to how an amplitude oscillates about a mean, or how Fourier collapses to a zero mean. The point above and below the gradients are measured.

Wendt and Faul have shown that lustre can be induced merely by gradient relationships in monocular pictures, including same polarity.

Arguably BT.1886 red on equiluminant ground has a boundary condition lustre.

@troy_s

I've reviewed some of Wendt and Faul's papers on binocular luster... do you have one you like regarding monocular luster? I'm interested to look into this more.

Regarding BT.1886 red, do you think the luster you describe is related to the chroma, or only related to the contribution of that red to luminance? (i.e. is the luster boundary for red equal to the luminance contribution from red relative to the luminance of an equivalent boundary using only an achromatic signal?)

@Myndex It can *only* be chrominance related, given the lustre seems to happen near the gradient boundaries of a standard disc to annulus etc. arrangement even at equi-luminance.

The Wendt & Faul papers have some interesting relations to monocular lustre. This one from Pinna et al is very good too.

Some similar things related to gradients going on. https://www.researchgate.net/profile/Lothar-Spillmann/publication/11443343_Scintillating_Lustre_and_Brightness_Induced_by_Radial_Lines/links/55d88c0708aed6a199a8865f/Scintillating-Lustre-and-Brightness-Induced-by-Radial-Lines.pdf

@Myndex The part that is perplexing for me with respect to BT.1886 red is that we can compute the chrominance vector reliably from first principles, and it ends up being `chrominance(RGB) = max(RGB) - luminance(RGB)`. All is well and good and in accordance with MacAdam’s original explanation.

The issue is that the “force” seems to be along a different dimension. Some ideas:
1. The strength of the red is related to gradient.
2. Routing. EG: Ventral.