GithubHelp home page GithubHelp logo

stackblur's Introduction

StackBlur.js

NPM Version License

StackBlur.js is a fast, almost Gaussian blur created by Mario Klingemann.

Original source:

Getting Started

Standalone version

To use the standalone version,

download the latest zip from Github or clone the repository

git clone [email protected]:flozz/StackBlur.git

and include the dist/stackblur.js or dist/stackblur.min.js file in your HTML page:

<script src="StackBlur/dist/stackblur.js"></script>

Node

To use the NPM package,

install the package:

npm install --save stackblur-canvas

and require it where needed

const StackBlur = require('stackblur-canvas');

Browsers

If you are only supporting modern browsers, you may use ES6 Modules directly:

import * as StackBlur from
  './node_modules/stackblur-canvas/dist/stackblur-es.min.js';

Or, if you are using Rollup in your own project, use the node-resolve plugin, and import by just referencing the module:

import * as StackBlur from 'stackblur-canvas';

API

See also the docs in docs/jsdoc.

Image as source:

StackBlur.image(sourceImage, targetCanvas, radius, blurAlphaChannel);
  • sourceImage: the HTMLImageElement or its id.
  • targetCanvas: the HTMLCanvasElement or its id.
  • radius: the radius of the blur.
  • blurAlphaChannel: Set it to true if you want to blur a RGBA image (optional, default = false)

RGBA Canvas as source:

StackBlur.canvasRGBA(targetCanvas, top_x, top_y, width, height, radius);
  • targetCanvas: the HTMLCanvasElement.
  • top_x: the horizontal coordinate of the top-left corner of the rectangle to blur.
  • top_y: the vertical coordinate of the top-left corner of the rectangle to blur.
  • width: the width of the rectangle to blur.
  • height: the height of the rectangle to blur.
  • radius: the radius of the blur.

RGB Canvas as source:

StackBlur.canvasRGB(targetCanvas, top_x, top_y, width, height, radius);
  • targetCanvas: the HTMLCanvasElement.
  • top_x: the horizontal coordinate of the top-left corner of the rectangle to blur.
  • top_y: the vertical coordinate of the top-left corner of the rectangle to blur.
  • width: the width of the rectangle to blur.
  • height: the height of the rectangle to blur.
  • radius: the radius of the blur.

RGBA ImageData as source:

StackBlur.imageDataRGBA(imageData, top_x, top_y, width, height, radius);
  • imageData: the canvas' ImageData.
  • top_x: the horizontal coordinate of the top-left corner of the rectangle to blur.
  • top_y: the vertical coordinate of the top-left corner of the rectangle to blur.
  • width: the width of the rectangle to blur.
  • height: the height of the rectangle to blur.
  • radius: the radius of the blur.

RGB ImageData as source:

StackBlur.imageDataRGB(imageData, top_x, top_y, width, height, radius);
  • imageData: the canvas' ImageData.
  • top_x: the horizontal coordinate of the top-left corner of the rectangle to blur.
  • top_y: the vertical coordinate of the top-left corner of the rectangle to blur.
  • width: the width of the rectangle to blur.
  • height: the height of the rectangle to blur.
  • radius: the radius of the blur.

Hacking

Building

This library is built using Rollup. If you change something in the src/ folder, use the following command to re-build the files in the dist/ folder:

npm run rollup

stackblur's People

Contributors

artoria2e5 avatar brettz9 avatar connor4312 avatar dansullivan86 avatar dependabot[bot] avatar flozz avatar jason11q avatar jsg2021 avatar kayahr avatar lbennett-stacki avatar peleteiro avatar snorpey avatar swhite24 avatar willbamford avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

stackblur's Issues

Please target es5

We were unable to upgrade from version 1.4.1 to a more recent version because the build output contains es6 syntax. It would be nice to configure babel to target es5 for those of us who need it.

set of parameters

in traditional gauuian blur, there are two important parameters: size of kernel and sigma, if i want to set both of them idependent, is it means i can't use this Algorithm?

Black borders around my canvas

Hi,

I'm trying your lib with pixijs but I'm encountering a problem when I try to apply the blur.

This is an example which show the problem :

sans titre

Thanks,

Stackblur effect gets removed after exporting the canvas to data URL

Hi Flozz,

I have the following problem: the Stackblur effect gets removed after exporting the canvas to data URL

Here's a GIF I made of the problem
Image of bug

And here's the data URL

data:image/png;base64,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

I'm currently trying to build a JSfiddle

I'm using the canvasRGBA() method to blur the image.

Trying to use imageDataRGB and nothing happens

Maybe I missed something, but any idea why this doesn't work?

var img = new Image()
img.crossOrigin = "Anonymous"
img.src = 'http://lorempixel.com/300/300/cats/'
img.onload = function() { draw(this) }

function draw(img) {
  var canvas = document.getElementById('canvas')
  var ctx = canvas.getContext('2d')
  ctx.drawImage(img, 0, 0)
  var imageData = ctx.getImageData(0,0,canvas.width, canvas.height)

  var blurbtn = document.getElementById('blurbtn')
  blurbtn.addEventListener('click', function() {
    StackBlur.imageDataRGB(imageData, 50, 50, 100, 100, 30);
    // This Works: StackBlur.canvasRGB(canvas, 50, 50, 100, 100, 30)
  });
}

http://codepen.io/ilyador/pen/eZNZdO

Issues with Webpack compiling

Hi,
I have installed the stackBlurImage using webpack. But it is not working correctly in frontend. I am getting an error says, common.js:1307 Uncaught TypeError: stackBlurImage is not a function. Can you please help me with this?

Use jobleonard improvements

Over at https://observablehq.com/@jobleonard/mario-klingemans-stackblur there is a modernized shift table. There are a few things useful to this repo:

  • Correctness: the shift operator is corrected from >> to >>> so integers stay okay until the intended 255 radius. And lots of | 0 to make sure.
  • Simplicity:
    • The shift table is removed in favor of a fixed 24-shift so values become more readable
    • Since stacks only work one way, an array is used instead
    • Fewer stray variables for cleaner code
  • Modern JS

Borders of my image get white color

Hi
When i use stackblur from my pc all work well and have nice blur since only text of image get blured.
But when use it from my phone, the canvas have many white color and border of image's background too.

Any fix please or trick to avoid this?

Uncaught TypeError: Cannot read property '0' of undefined

I was trying to blur an image data URI just now with StackBlur, and I got this error.

I am using Node.js v12, on a linux server

This is my code:

const stack = require('stackblur-canvas')

// img is an image data uri
stack.imageDataRGB(img, 0, 0, 1081, 206, 50)

License?

Could you specify License?
Thanks

PR: Native GPU support

WebMonkeys seems like a very promising solution that can help migrate calculations to the GPU. Currently, all computation is done on CPU, which makes things really slow :(

Problem with `instanceof` checks

Hi,

Great library!

Been doing a little retooling (for a PR on SVGEdit to allow our version of canvg to add as a module), mostly to convert to ES6 Modules, and I noticed your instanceof checks were off.

https://github.com/flozz/StackBlur/blob/master/src/stackblur.js#L85

has:

else if (typeof HTMLImageElement !== 'undefined' && !img instanceof HTMLImageElement) {

You want img instanceof HTMLImageElement wrapped in parentheses here (and in the other 2 instances where this occurs) since otherwise the precedence will have ! applied first to img, ensuring that this part of the expression will always render `true. In other words, your code always returns silently, even when an image element is provided (unless the previous block was reached by the user having supplied a string ID).

But for cross-frame support, not to mention easier Node support, you might want to avoid instanceof checks and just duck-type here, e.g., checking for:

else if (!('naturalWidth' in img)) {

or, for the canvas:

else if (!('getContext' in canvas)) {

Also FYI, with the netscape privilege code removed, you've been left with an extra try-catch block.

Blur causes white-out

I've been working on a project using stackblur and most of the time it works as expected but some subset of images get intensely whited out even at a low blur radius. Here's an example using canvasRGB(canvas, 0, 0, 400, 400, 2).

Orig
image

Post blur
image

Any suggestions as what might be causing some images to whiteout and not others?

Add to Bower

Please add your awesome plugin to Bower repository!

set souceImage equal to targetCanvas size

in API StackBlur.image(sourceImage, targetCanvas, radius, blurAlphaChannel);.

my souceImage's size bigger than targetCanvas, and I want to set it equal to targetCanvas

can this API offered a param or some other way to solve?

thanks:)

Add delay

Is it possible to add in a delay to the image capture. So if you have animations you will not capture whitespace.

Cannot install via bower...

bower install stackblur-canvas
bower invalid-meta  for:/home/edudash/public_html/bower.json
bower invalid-meta  The "name" is recommended to be lowercase, can contain digits, dots, dashes
bower EINVRES       Request to https://bower.herokuapp.com/packages/stackblur-canvas failed with 502

Possible tests.

Is it possible to write tests for this project? Possibly with screenshot testing?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.