I'm a Software Engineer who advocates for simplicity and readability, I strive for elegant solutions leveraging different languages and paradigms.
Public
Edited
Dec 11
1 fork
4 stars
renderImage(image, grayscale, grain(noise))
grain = (intensity) => (pixels) => {
const d = pixels.data;
for (let i = 0; i < d.length; i += 4) {
let v = d[i];
const n = math.randomGaussian(
0,
Math.sin(math.map(v, 0, 255, 0, Math.PI, true)) * intensity
);
v = math.constrain(onlyNoise ? n : v + n, 0, 255);
d[i] = d[i + 1] = d[i + 2] = v;
}
return pixels;
}
grayscale = pixels => {
const d = pixels.data;
for (let i = 0; i < d.length; i += 4) {
const r = d[i];
const g = d[i + 1];
const b = d[i + 2];
// CIE luminance for the RGB
// The human eye is bad at seeing red and blue, so we de-emphasize them.
let v = 0.2126 * r + 0.7152 * g + 0.0722 * b;
d[i] = d[i + 1] = d[i + 2] = v;
}
return pixels;
}
import { math, renderImage } from "@kewitz/utils"
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.