Isaac Muse facelessuser

Interpolation with Kubelka-Munk Theory

Approach

This is an experiment showcasing interpolation via Kubelka-Munk theory. Approach generally employs the method as outlined in Spectral.js. Most of foundational topics are covered in Mixbox's paper, though Spectral.js uses an approach less focused on specific paints and instead opts to generalize and simplify the approach by simply generating reflectance curves directly from the spectral data. Results don't necessarily mimic specific paints, but give a pigment like feel.

Exploring Tonal Palettes

HCT

HCT is a color model developed by [Google][material-hct]. It aims to solve a problem related to generating color palettes with good contrast. While HCT may seem like a revolutionary color model, the idea behind it is quite simple, take the perceptually uniform color model CAM16 and combine it with the CIE Lab's lightness.

Upside of HCT

/// tab | Tab 1

//// tab | Tab A content ////

//// tab | Tab B content //// ///

DPS CONTRAST (DELTA PHI STAR) LICENSE

DPS Contrast, also known as Delta Phi Star, is a simple formula for predicting human visual perception of contrast between text and background.

WHAT WHERE HOW
- Delta Phi Star predicts the contrast of text against the background for a given pair of colors.
- Delta Phi Star emerged from the SAPC/APCA project developing new standards for better beat ability on the web.
- Delta Phi Star takes in two $L^*$ (Lstar) values, and returns an $L^c$ (lightness contrast) value.
UNIFORMITY:
DPS Contrast is quasi-uniform for human perception of text against a background on a self-illuminated display

	"""

	Fancy lists in the style of Pandoc.

	---
	# A Python implementation of John Gruber's Markdown.

	# Started by Manfred Stienstra (http://www.dwerg.net/).
	# Maintained for a few years by Yuri Takhteyev (http://www.freewisdom.org).
	# Currently maintained by Waylan Limberg (https://github.com/waylan),

	# pragma: init
	from __future__ import annotations
	from coloraide.spaces.okhsl import Okhsl, okhsl_to_oklab, oklab_to_okhsl
	from coloraide.spaces.okhsv import Okhsv, okhsv_to_oklab, oklab_to_okhsv

	P3L_TO_LMS = [
	[0.4813798527499543, 0.4621183710113182, 0.05650177623872754],
	[0.2288319418112447, 0.6532168193835677, 0.11795123880518772],
	[0.08394575232299314, 0.22416527097756647, 0.6918889766994405]
	]

	from coloraide.gamut import Fit
	from coloraide.spaces import RGBish
	from coloraide import algebra as alg

	class OkLChScale(Fit):
	"""
	Gamut mapping by scaling.
	Expected gamut mapping spaces are RGB type spaces.
	For best results, linear light RGB spaces are preferred.
	"""

	# pragma: init
	from coloraide.gamut import Fit
	from coloraide.spaces import RGBish

	class OkLChScale(Fit):
	"""
	Gamut mapping by scaling.

	Expected gamut mapping spaces are RGB type spaces.
	For best results, linear light RGB spaces are preferred.

	# pragma: init
	from coloraide.gamut import Fit
	from coloraide.spaces import RGBish
	from coloraide import algebra as alg

	class OkLChScale(Fit):
	"""
	Gamut mapping by scaling.

	Expected gamut mapping spaces are RGB type spaces.

	from coloraide import Color as Base

	class Color(Base):
	FIT = 'oklch-chroma'
	POWERLESS = True
	CARRYFORWARD = True

	print('==== Case 1 ====')
	color = Color.interpolate(['oklch(100% 50% 60deg)', 'oklch(50% 50% 0deg)'], space='oklch', out_space='oklch')(0.5)
	Row([color.to_string(percent=True), color.convert('srgb').to_string()])