Fast & tiny Wolt BlurHash decoder implementation
- 🤏 Tiny: ≈1kb minified
- 🚀 Fast: up to 70% faster then original
blurhash.decode(see benchmark)
npm install --save fast-blurhashfast-blurhash provides a drop-in replacement for original blurhash.decode
decodeBlurHash(blurhash: string, width: number, height: number, punch?: number) => Uint8ClampedArray`decodeBlurHash uses approximate calculation for speed reasons. Results may slightly differ from original blurhash.decode but the diff is not noticeable (see tests).
decodeBlurHash does not validate input.
import { decodeBlurHash } from 'fast-blurhash';
// decode blurHash image
const pixels = decodeBlurHash('LEHV6nWB2yk8pyo0adR*.7kCMdnj', 32, 32);
// draw it on canvas
const canvas = document.createElement('canvas');
const ctx = canvas.getContext('2d');
const imageData = ctx.createImageData(width, height);
imageData.data.set(pixels);
ctx.putImageData(imageData, 0, 0);
document.body.append(canvas);getBlurHashAverageColor(blurhash: string) => [number, number, number]`getBlurHashAverageColor returns an average color of a passed blurhash image in [red, green, blue].
import { getBlurHashAverageColor } from 'fast-blurhash';
// get image average color and use it as css background color
const rgbAverageColor = getBlurHashAverageColor('LEHV6nWB2yk8pyo0adR*.7kCMdnj');
document.body.style.backgroundColor = `rgb(${rgbAverageColor.join(',')})';