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pixa_downscaler

v0.1.1

Published

Here's a suggested `README.md` tailored to your `kmeans_downscale_lab` WebAssembly project:

Readme

Here's a suggested README.md tailored to your kmeans_downscale_lab WebAssembly project:


# K-Means++ LAB Downscaler (WebAssembly)

A high-quality, perceptually-aware image downscaler using **k-means++ clustering** and **LAB color space**. This project is designed for WebAssembly, making it ideal for integration into browsers or web-based creative tools.

---

## 🚀 Features

- 💡 Uses **LAB color distance** for perceptual accuracy.
- 🎯 Implements **k-means++ initialization** for better convergence.
- ⚡ WebAssembly compatible (via `wasm-bindgen`).
- 🖼️ Outputs a downscaled image where each pixel represents a color-clustered region from the original.
- 🛠️ Written in Rust for performance and reliability.

---

## 🔧 Usage

### 📦 Build with `wasm-pack`

```sh
wasm-pack build --release --target web

🧪 In JavaScript (after build):

import init, { downscale_kmeans_lab } from "pixa_downscaler";

await init();

const result = downscale_kmeans_lab(
  inputBuffer,     // Uint8Array (flattened RGBA)
  originalWidth,
  originalHeight,
  newWidth,
  newHeight
);

// `result` is a Uint8Array of RGBA values, newWidth x newHeight pixels

📦 Inputs & Parameters

| Parameter | Description | |------------------|---------------------------------------| | input | RGBA byte buffer (Uint8Array or &[u8]) | | in_width | Original image width in pixels | | in_height | Original image height in pixels | | out_width | Output width (tile count) | | out_height | Output height (tile count) |


🧠 How It Works

  • The input image is divided into tiles.
  • Each tile undergoes k-means++ clustering in LAB space.
  • The most dominant color cluster in each tile is used for the downscaled pixel.
  • Result: a stylized downscaling that retains perceptual color essence.

🧰 Development Dependencies

[dependencies]
wasm-bindgen = "0.2"
palette = "0.7"
rand = "0.8"
getrandom = { version = "0.2", features = ["js"] }

📜 License

MIT


✨ Credits

Developed with elegance and strategy for perceptual pixel artistry.


---

Let me know if you want to include:
- A demo link
- Visual example screenshots
- Integration with a pixel editor or creative tool UI