Skip to content

Latest commit

 

History

7 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Image Convolution Using Separable Kernel

This project provides an implementation convolution on images using separable kernels of arbitrary size. The library is aimed to provide a fast implementation with 0 dependencies other than image-rs.

Usage

use convolve_image::convolve::Convolution;
use convolve_image::kernel::SeparableKernel;

fn convolve_image() {
    let image = image::open("./sample.jpg").unwrap();
    let image = image.to_rgb32f();
    image.convolve(SeparableKernel::new([1. / 4., 1. / 2., 1. / 4.]), 1);
}

Installation

To use this library in your Rust project, add the following to your Cargo.toml file:

[dependencies]
convolve-image = "0.1.0"

About

A crate to perform convolution operations with stride on either image data or n-dimensional arrays

Topics

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages