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APCA (Accessible Perceptual Contrast Algorithm) is a new method for predicting contrast for use in emerging web standards (WCAG 3) for determining readability contrast. APCA is derived form the SAPC (S-LUV Advanced Predictive Color) which is an accessibility-oriented color appearance model designed for self-illuminated displays.
A Raspberry Pi–based HDMI test pattern generator for display calibration. PGenerator+ outputs precision color patches and test patterns over HDMI — including HDR10, HLG, and Dolby Vision — controlled remotely by calibration software over TCP/IP. Built on PGenerator by Riccardo Biasiotto.
🎨🧰 A versatile collection of color tools for designers and developers encapsulated in one web app - shades, tints, tones, harmonies, contrast, color blindness, gradients, and more!
SkinOptics is an open source Python package with tools for building human skin computational models for Monte Carlo simulations of light transport, as well as tools for analyzing simulation outputs. It can also be used for teaching and exploring about Optical Properties and Colorimetry.
HDR tone mapping operator inspired by human visual system biology. Models photoreceptor response, color appearance (DTUCAM/CIECAM16/XLR-CAM), neural contrast sensitivity, and supports modern display standards (Rec. 709, 2020, 2100 PQ/HLG). GPU-accelerated.