stackblur-go

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.

Docker

Using the Docker image:

docker run --rm -v $PWD:/home -it ghcr.io/f3mm3ph1l3/stackblur:master -in $INPUT_IMAGE -out $OUTPUT_IMAGE -radius $BLUR_DEGREE # defaults to 20

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.