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@pixi/filter-noise
Advanced tools
@pixi/filter-noise is a package that provides a noise filter for use with the PixiJS library. It allows developers to add noise effects to their graphics, which can be useful for creating textures, backgrounds, or visual effects that require a randomized or grainy appearance.
Add Noise Filter to a Sprite
This feature allows you to apply a noise filter to a sprite in a PixiJS application. The code sample demonstrates how to create a PixiJS application, add a sprite, and apply a noise filter to it. The noise level can be adjusted using the 'noise' property of the NoiseFilter.
const app = new PIXI.Application();
document.body.appendChild(app.view);
const sprite = PIXI.Sprite.from('path/to/image.png');
app.stage.addChild(sprite);
const noiseFilter = new PIXI.filters.NoiseFilter();
sprite.filters = [noiseFilter];
noiseFilter.noise = 0.5; // Adjust the noise level
Animate Noise Filter
This feature demonstrates how to animate the noise effect by changing the seed value over time. By updating the seed value in the app's ticker, the noise pattern changes continuously, creating an animated noise effect on the sprite.
const app = new PIXI.Application();
document.body.appendChild(app.view);
const sprite = PIXI.Sprite.from('path/to/image.png');
app.stage.addChild(sprite);
const noiseFilter = new PIXI.filters.NoiseFilter();
sprite.filters = [noiseFilter];
app.ticker.add(() => {
noiseFilter.seed = Math.random(); // Change the seed to animate the noise
});
three.js is a popular 3D library that includes post-processing effects, including noise. While it is primarily used for 3D graphics, it can also be used to apply noise effects to 2D textures. It is more complex than @pixi/filter-noise and is used for a wider range of graphics applications.
npm install @pixi/filter-noise
import '@pixi/filter-noise';
FAQs
Filter that applies noise to a display object
The npm package @pixi/filter-noise receives a total of 123,468 weekly downloads. As such, @pixi/filter-noise popularity was classified as popular.
We found that @pixi/filter-noise demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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