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  • License MIT

Image Quantization Library in **TypeScript** *(MIT Licensed)*

Package Exports

  • image-q

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (image-q) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

image-q

Complete Image Quantization Library in TypeScript (MIT License)

Build Status Coverage Status Demo GitHub NPM Greenkeeper badge API NPM License

quantization

Table of Contents

Introduction

Image Color Number Reduction with alpha support using RGBQuant/NeuQuant/Xiaolin Wu's algorithms and Euclidean/Manhattan/CIEDE2000 color distance formulas in TypeScript Features

  1. Platforms supported

    • Browser (Chrome 7.0+, FireFox 4.0+, IE 10+, Opera 11.6+, Safari 5.1+)
    • Node.js 6.0+
  2. API

    • Basic API: sync and promise-based async
    • Advanced API: sync and generator-based
  3. Builds

    • dist/cjs/image-q.js - CommonJS
    • dist/esm/image-q.js - ESM (ESNext)
    • dist/cjs/image-q.js - UMD
  4. Import

    • HTMLImageElement
    • HTMLCanvasElement
    • NodeCanvas
    • ImageData
    • Array
    • CanvasPixelArray
    • Uint8Array
    • Uint32Array
  5. Color Distance

    • Euclidean - 1/1/1/1 coefficients (originally used in Xiaolin Wu's Quantizer WuQuant)
    • EuclideanBT709NoAlpha - BT.709 sRGB coefficients (originally used in RGBQuant)
    • EuclideanBT709 BT.709 sRGB coefficients + alpha support
    • Manhattan - 1/1/1/1 coefficients (originally used in NeuQuant)
    • ManhattanBT709 - BT.709 sRGB coefficients
    • ManhattanNommyde - see https://github.com/igor-bezkrovny/image-quantization/issues/4#issuecomment-234527620
    • CIEDE2000 - CIEDE2000 (very slow)
    • CIE94Textiles - CIE94 implementation for textiles
    • CIE94GraphicArts - CIE94 implementation for graphic arts
    • CMetric - see http://www.compuphase.com/cmetric.htm
    • PNGQuant - used in pngQuant tool
  6. Palette Quantizers

    • NeuQuant (original code ported, integer calculations)
    • NeuQuantFloat (floating-point calculations)
    • RGBQuant
    • WuQuant
  7. Image Quantizers

    • NearestColor
    • ErrorDiffusionArray - two modes of error propagation are supported: xnview and gimp
      1. FloydSteinberg
      2. FalseFloydSteinberg
      3. Stucki
      4. Atkinson
      5. Jarvis
      6. Burkes
      7. Sierra
      8. TwoSierra
      9. SierraLite
    • ErrorDiffusionRiemersma - Hilbert space-filling curve is used
  8. Output

    • Uint32Array
    • Uint8Array

Include image-q library into your project

ES6 module
// will import ESM (ESNext) or UMD version depending on your bundler/node
import * as iq from "image-q"
CommonJS
var iq = require("image-q");
As a global variable (Browser)
<script src="<path-to image-q/dist/umd/image-q.js>" type="text/javascript" charset="utf-8"></script>

Usage

Load Image (simple example)
var img = document.createElement("img");
img.onload = function() {
    // image is loaded, here should be all code utilizing image
    ...
}
img.src = "http://pixabay.com/static/uploads/photo/2012/04/11/11/32/letter-a-27580_640.png"
Generate Palette
// desired colors number
var targetColors = 256;
   
// create pointContainer and fill it with image
var pointContainer = iq.utils.PointContainer.fromHTMLImageElement(img);

// create chosen distance calculator (see classes inherited from `iq.distance.AbstractDistanceCalculator`)
var distanceCalculator = new iq.distance.Euclidean();

// create chosen palette quantizer (see classes implementing `iq.palette.AbstractPaletteQuantizer`) 
var paletteQuantizer = new iq.palette.RGBQuant(distanceCalculator, targetColors);
        
// feed out pointContainer filled with image to paletteQuantizer
paletteQuantizer.sample(pointContainer);

... (you may sample more than one image to create mutual palette) 

// take generated palette
var palette = paletteQuantizer.quantize();
Apply Palette to Image (Image Dithering)
// create image quantizer (see classes implementing `iq.image.AbstractImageQuantizer`)
var imageQuantizer = new iq.image.NearestColor(distanceCalculator);

// apply palette to image
var resultPointContainer = imageQuantizer.quantize(pointContainer, palette);

You may work with resultPointContainer directly or you may convert it to Uint8Array/Uint32Array

var uint8array = resultPointContainer.toUint8Array();

please read tests as reference of progress tracking feature

Breaking changes

2.1.1

+ PaletteQuantizer#quantize => PaletteQuantizer#quantizeSync
    + ImageQuantizer#quantize => ImageQuantizer#quantizeSync

2.0.1 - 2.0.4 (2018-02-22)

+ EuclideanRgbQuantWOAlpha => EuclideanBT709NoAlpha
+ EuclideanRgbQuantWithAlpha => EuclideanBT709
    + ManhattanSRGB => ManhattanBT709
    + IImageDitherer => AbstractImageQuantizer
    + IPaletteQuantizer => AbstractPaletteQuantizer
    + PointContainer.fromNodeCanvas => PointContainer.fromHTMLCanvasElement
    + PointContainer.fromArray => PointContainer.fromUint8Array
+ PointContainer.fromBuffer (Node.js, new)
    + CMETRIC => CMetric
    + PNGQUANT => PNGQuant
    + SSIM Class => ssim function

TODO

  1. notification about progress
  2. riemersma dithering
  3. ordered dithering <-- is there anyone who needs it?
  4. readme update, more examples
  5. demo update (latest image-q npm version should be used in demo)

Changelog

2.1.1
+ Basic (Simple) API implemented
    + see breaking changes
2.0.5 (2018-02-23)
+ @types/node moved to 'dependencies'
2.0.4 (2018-02-23)
+ documentation added
    + some refactorings/renames, see breaking changes
2.0.3 (2018-02-22)
    + circular dependency removed
2.0.2 (2018-02-22)
+ readme updated
2.0.1 (2018-02-22)
+ progress tracking api (using es6 generators) added
    + strinct lint rules (+code cleanup/renames)
    + rollup (3 different versions - umd, cjs, esm + source maps + d.ts)
    + latest TypeScript
    + jest
    + snapshot tests
    + coverage (+coveralls)
    + greenkeeper
1.1.1 (2016-08-28)
+ CIEDE2000 - incorrect calculation fixed
+ CIEDE2000 - alpha channel now has only 25% impact on color distance instead of 66%
+ CIE94 - added 2 types (textiles and graphics art) according to spec
+ CIE94 - alpha support added
+ rgb2xyz, lab2xyz, xyz2rgb, xyz2lab - gamma correction
+ lab2xyz, xyz2lab - refY should be 100 (1.00000) instead of 10 (0.10000) 
+ manhattan with new (Nommyde) coefficients added 
+ mocha tests added
+ webpack integration
+ image-q is now UMD module 
+ travis-ci integration
+ typescript 2.0
+ indentation with 4 spaces
0.1.4 (2015-06-24)
+ Refactoring 
+ Riemersma dithering added (Hilbert Curve)
+ Readme.md updated
+ build.cmd updated
0.1.3 (2015-06-16)
+ NeuQuant is fixed (again) according to original Anthony Dekker source code (all values should be integer)
+ Error Diffusion Dithering is now calculates error like XNVIEW
+ Refactoring
0.1.2 (2015-06-16)
+ Documentation generation fixed
+ File name case problem fixed
0.1.1 (2015-06-16)
+ Auto-generated documentation added
+ Refactoring 
0.1.0 (2015-06-16)
+ Code cleanup, removed unnecessary files
0.0.5 (2015-06-16)
+ PNGQuant color distance added, need to check its quality
+ CIEDE2000 and CIE94 fixed for use in NeuQuant
+ NeuQuant is fixed according to original Anthony Dekker source code (all values should be integer) 
+ Code refactoring and cleanup
* We have some slowdown because of red/green/blue/alpha normalization according to white point per each calculateRaw/calculateNormalized call 
0.0.4 (2015-06-15)
+ CIEDE2000 color distance equation optimized (original CIEDE2000 equation is available as class `CIEDE2000_Original`) 
0.0.3b (2015-06-11)
+ CMetric color distance fixed
0.0.3a (2015-06-11)
+ Cleanup
+ Draft of CMetric color distance added
0.0.2 (2015-06-10)
+ rgb2xyz & xyz2lab fixed. CIEDE2000 works much better now.
+ CIE94 distance formula added. More investigation is needed.
0.0.1
+ Initial

Credits

Thanks to Leon Sorokin for information share and his original RGBQuant!

References

Be sure to fix rgb2xyz/xyz2lab. Issue is with strange part of code: r = r > 0.04045 ? .... Check http://en.wikipedia.org/wiki/Lab_color_space

License

MIT