/** * @preserve * Copyright 2015-2018 Igor Bezkrovnyi * All rights reserved. (MIT Licensed) * * pngQuant.ts - part of Image Quantization Library */ import { AbstractDistanceCalculator } from './distanceCalculator'; /** * TODO: check quality of this distance equation * TODO: ask author for usage rights * taken from: * {@link http://stackoverflow.com/questions/4754506/color-similarity-distance-in-rgba-color-space/8796867#8796867} * {@link https://github.com/pornel/pngquant/blob/cc39b47799a7ff2ef17b529f9415ff6e6b213b8f/lib/pam.h#L148} */ export declare class PNGQuant extends AbstractDistanceCalculator { /** * Author's comments * px_b.rgb = px.rgb + 0*(1-px.a) // blend px on black * px_b.a = px.a + 1*(1-px.a) * px_w.rgb = px.rgb + 1*(1-px.a) // blend px on white * px_w.a = px.a + 1*(1-px.a) * * px_b.rgb = px.rgb // difference same as in opaque RGB * px_b.a = 1 * px_w.rgb = px.rgb - px.a // difference simplifies to formula below * px_w.a = 1 * * (px.rgb - px.a) - (py.rgb - py.a) * (px.rgb - py.rgb) + (py.a - px.a) * */ calculateRaw(r1: number, g1: number, b1: number, a1: number, r2: number, g2: number, b2: number, a2: number): number; private _colordifferenceCh; protected _setDefaults(): void; } //# sourceMappingURL=pngQuant.d.ts.map