https://abhisaha.com/blog/interactive-post-oklch-color-space

 

Björn Ottosson proposed OKlch in 2020 to create a color space that can closely mimic how color is perceived by the human eye, predicting perceived lightness, chroma, and hue.

 

The OK in OKLCH stands for Optimal Color.

• L: Lightness (the perceived brightness of the color)
• C: Chroma (the intensity or saturation of the color)
• H: Hue (the actual color, such as red, blue, green, etc.)

 

 

Also read:

Björn Ottosson – How software gets color wrong

 

Björn Ottosson – OKHSV and OKHSL – Two new color spaces for color picking

 

 

www.plutorules.com/page-111-space-rocks.html

This help’s us understand the composition of components in/on solar system bodies.

Dips in the observed light spectrum, also known as, lines of absorption occur as gasses absorb energy from light at specific points along the light spectrum.

These dips or darkened zones (lines of absorption) leave a finger print which identify elements and compounds.

In this image the dark absorption bands appear as lines of emission which occur as the result of emitted not reflected (absorbed) light.

 

 

 

Lines of absorption

https://www.bbc.com/news/articles/clyq0n3em41o

By stimulating specific cells in the retina, the participants claim to have witnessed a blue-green colour that scientists have called “olo”, but some experts have said the existence of a new colour is “open to argument”.

The findings, published in the journal Science Advances on Friday, have been described by the study’s co-author, Prof Ren Ng from the University of California, as “remarkable”.

(A) System inputs. (i) Retina map of 10³ cone cells preclassified by spectral type (7). (ii) Target visual percept (here, a video of a child, see movie S1 at 1:04). (iii) Infrared cellular-scale imaging of the retina with 60-frames-per-second rolling shutter. Fixational eye movement is visible over the three frames shown.

(B) System outputs. (iv) Real-time per-cone target activation levels to reproduce the target percept, computed by: extracting eye motion from the input video relative to the retina map; identifying the spectral type of every cone in the field of view; computing the per-cone activation the target percept would have produced. (v) Intensities of visible-wavelength 488-nm laser microdoses at each cone required to achieve its target activation level.

(C) Infrared imaging and visible-wavelength stimulation are physically accomplished in a raster scan across the retinal region using AOSLO. By modulating the visible-wavelength beam’s intensity, the laser microdoses shown in (v) are delivered. Drawing adapted with permission [Harmening and Sincich (54)].

(D) Examples of target percepts with corresponding cone activations and laser microdoses, ranging from colored squares to complex imagery. Teal-striped regions represent the color “olo” of stimulating only M cones.