stackblur

package module
v0.2.1 Latest Latest
Warning

This package is not in the latest version of its module.

Go to latest
Published: May 1, 2023 License: MIT Imports: 3 Imported by: 0

README

stackblur-go

Go Reference build

Go port of Mario Klingemann's Stackblur algorithm.

Stackblur is a compromise between Gaussian blur and Box blur, but it creates much better looking blurs than Box blur and it is ~7x faster than Gaussian blur.

Comparing to the Javascript implementation the Go version is at least 50% faster (depending on the image size and blur radius), applied on the same image with the same bluring radius.

Benchmark
Radius Javascript Go
20 ~15ms ~7.4ms

Installation

First, install Go, set your GOPATH, and make sure $GOPATH/bin is on your PATH.

$ export GOPATH="$HOME/go"
$ export PATH="$PATH:$GOPATH/bin"

Next download the project and build the binary file.

$ go get -u -f github.com/esimov/stackblur-go
$ cd cmd && go build -o $GOPATH/bin/stackblur
CLI example

The provided CLI example supports the following flags:

$ stackblur --help

Usage of stackblur:
  -gif
    	Output Gif
  -in string
    	Source
  -out string
    	Destination
  -radius int
    	Radius (default 20)

The command below will generate the blurred version of the source image.

$ stackblur -in image/sample.png -out image/output.png -radius 10

The cli command supports a -gif flag, which if set as true it visualize the bluring process by outputting the result into a gif file.

API

The usage of the API is very simple: you need to expose an image file and a blur radius to the Process function. This will return the blurred version of the original image.

stackblur.Process(src, blurRadius)

Results

Original image Blurred image

License

This project is under the MIT License. See the LICENSE file for the full license text.

Documentation

Overview

stackblur-go is a Go port of the Stackblur algorithm.

Stackblur is a compromise between Gaussian blur and Box blur, but it creates much better looking blurs than Box blur and it is ~7x faster than Gaussian blur.

The API is very simple and easy to integrate into any project. You only need to invoke the Process function which receive an image and a radius as parameters and returns the blurred version of the provided image.

func Process(src image.Image, radius uint32) (*image.NRGBA, error)

Below is a very simple example of how you can use this package.

package main

import (
	"image"
	"image/jpeg"
	"log"
	"os"

	"github.com/esimov/stackblur-go"
)

func main() {
	var radius uint32 = 5
	f, err := os.Open("sample.png")
	if err != nil {
		log.Fatalf("could not open source file: %v", err)
	}
	defer f.Close()

	img, _, err := image.Decode(f)
	if err != nil {
		log.Fatalf("could not decode source file: %v", err)
	}

	src, err := stackblur.Process(img, radius)
	if err != nil {
		log.Fatal(err)
	}

	output, err := os.OpenFile("output.jpg", os.O_CREATE|os.O_RDWR, 0755)
	if err != nil {
		log.Fatalf("could not open destination file: %v", err)
	}
	defer output.Close()

	if err = jpeg.Encode(output, src, &jpeg.Options{Quality: 100}); err != nil {
		log.Fatalf("could not encode destination image: %v", err)
	}
}

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func Process

func Process(src image.Image, radius uint32) (*image.NRGBA, error)

Process takes the source image and returns it's blurred version by applying the blur radius defined as parameter.

Types

This section is empty.

Directories

Path Synopsis

Jump to

Keyboard shortcuts

? : This menu
/ : Search site
f or F : Jump to
y or Y : Canonical URL