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## image-q
Complete Image Quantization Library in **TypeScript** _(MIT License)_
[![Demo (outdated, use /packages/demo for up-to-date demo)](https://img.shields.io/badge/demo-online-brightgreen.svg)](https://ibezkrovnyi.github.io/image-quantization-demo/)
[![GitHub](https://img.shields.io/badge/github-.com-brightgreen.svg)](https://github.com/ibezkrovnyi/image-quantization/tree/main/packages/image-q)
[![NPM](https://badge.fury.io/js/image-q.svg)](https://www.npmjs.com/package/image-q)
[![API)](https://img.shields.io/badge/API-Available-blue.svg)](http://ibezkrovnyi.github.io/image-quantization/)
[![NPM License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
![quantization](packages/image-q/quantization.png)
## Table of Contents
- [<span style="color: red">API Documentation and Usage</span>](http://ibezkrovnyi.github.io/image-quantization/)
- [Introduction](#introduction)
- [Features](#features)
- [Todo](#todo)
- [Breaking changes](#breaking-changes)
- [Changelog](#changelog)
- [Credits](#credits)
- [References](#references)
- [License](#license)
## 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
```javascript
// will import ESM (ESNext) or UMD version depending on your bundler/node
import * as iq from 'image-q';
```
##### CommonJS
```javascript
var iq = require('image-q');
```
##### As a global variable (Browser)
```html
<script
src="<path-to image-q/dist/umd/image-q.js>"
type="text/javascript"
charset="utf-8"
></script>
```
## How to use
Please refer to [API Documentation and Usage](http://ibezkrovnyi.github.io/image-quantization/)
## 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
##### 4.0.0
+ Test cases for different types of imports and requres added
##### 4.0.0-alpha
+ Try to solve exported bundle types problem. 'umd' bundle removed.
##### 3.0.8
+ Test case for issue #95 added
##### 3.0.7
+ Fixes #96: Fix minimumColorDistanceToDither (PR #97 by @pixelplanetdev)
##### 3.0.6
+ Fixes #95: "Always empty result in certain webpack / babel configs" (PR #98)
##### 3.0.4
+ Fixes issue "Module not found: Can't resolve 'core-js/fn/set-immediate' in ..."
##### 3.0.0
+ pnpm monorepo, esbuild for faster builds, typescript upgraded
##### 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
- Palette Quantization Algorithms
1. [RGBQuant (Leon Sorokin)](https://github.com/leeoniya/RgbQuant.js) `JavaScript`
2. [NeuQuant (Johan Nordberg)](https://github.com/jnordberg/gif.js/blob/master/src/TypedNeuQuant.js) `TypeScript`
3. [NeuQuant (Tim Oxley)](https://github.com/timoxley/neuquant) `JavaScript`
4. [NeuQuant (Devon Govett)](https://github.com/devongovett/neuquant) `JavaScript`
5. [NeuQuant32 (Stuart Coyle)](https://github.com/stuart/pngnq/blob/master/src/neuquant32.c) `C`
6. [Xiaolin Wu (Xiaolin Wu)](http://www.ece.mcmaster.ca/~xwu/cq.c) `C`
7. [Xiaolin Wu (Smart-K8)](http://www.codeproject.com/Articles/66341/A-Simple-Yet-Quite-Powerful-Palette-Quantizer-in-C) `C#`
8. Xiaolin Wu w/ Alpha (Matt Wrock) [How to add Alpha](https://code.msdn.microsoft.com/windowsdesktop/Convert-32-bit-PNGs-to-81ef8c81/view/SourceCode#content), [Source Code](https://nquant.codeplex.com) `C#`
9. [MedianCut (mwcz)](https://github.com/mwcz/median-cut-js) `GPLv3`
- Image Quantization Algorithms
1. [All (ImageMagik doc)](http://www.imagemagick.org/Usage/quantize/#dither)
2. [Error Diffusion dithering (Tanner Helland)](http://www.tannerhelland.com/4660/dithering-eleven-algorithms-source-code)
3. [Riemersma dithering](http://www.compuphase.com/riemer.htm) `TODO: Check License`
4. [Ordered dithering (Joel Yliluoma)](http://bisqwit.iki.fi/story/howto/dither/jy)
- Color Distance Formulas
[Calculator + Info](http://colorizer.org/)
1. Euclidean Distance
2. Manhattan Distance
3. CIE94 Distance
- [Source Code (Iulius Curt)](https://github.com/iuliux/CIE94.js)
4. CIEDE2000
- [Math and Test Data Table (PDF)](http://www.ece.rochester.edu/~gsharma/ciede2000/ciede2000noteCRNA.pdf)
- [Info](http://www.ece.rochester.edu/~gsharma/ciede2000/)
- [Source Code (Greg Fiumara)](https://github.com/gfiumara/CIEDE2000) `C`
- [Source Code (THEjoezack)](https://github.com/THEjoezack/ColorMine/blob/master/ColorMine/ColorSpaces/Comparisons/CieDe2000Comparison.cs) `C#`
- [Online Calculator](http://colormine.org/delta-e-calculator/cie2000)
5. Euclidean Distance w/o Alpha (RGBQuant)
6. Euclidean Distance w/o sRGB coefficients (Xiaolin Wu Quant)
7. Manhattan Distance w/o sRGB coefficients (NeuQuant)
8. [CMetric](http://www.compuphase.com/cmetric.htm) `DRAFT!`
- Color conversion formulas
1. [Pseudo-code](http://www.easyrgb.com/?X=MATH)
> 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
- Image Quality Assessment
1. [SSIM info](http://en.wikipedia.org/wiki/Structural_similarity)
2. [SSIM (Rhys-e)](https://github.com/rhys-e/structural-similarity) `Java` `License: MIT`
3. PSNR ? TBD
4. MSE ? TBD
- Other
1. [HUSL (Boronine) - info](http://www.husl-colors.org)
2. [HUSL (Boronine) - code](https://github.com/husl-colors/husl)
3. [Color Image Quantization for Frame Buffer Display](https://www.cs.cmu.edu/~ph/ciq_thesis)
4. [K-Means](http://arxiv.org/pdf/1101.0395.pdf)
5. [Efficient Color Quantization by Hierarchical Clustering Algorithms](ftp://cs.joensuu.fi/pub/Theses/2005_MSc_Hautamaki_Ville.pdf)
6. http://www.codeproject.com/Articles/66341/A-Simple-Yet-Quite-Powerful-Palette-Quantizer-in-C
## License
[MIT](LICENSE)
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