Fast Bilateral filter for Golang

A FastBilateral filter is a non-linear, edge-preserving and noise-reducing
smoothing filter for images. The intensity value at each pixel in an image is
replaced by a weighted average of intensity values from nearby pixels.

Algorithm and implementation is based on http://people.csail.mit.edu/sparis/bf/

Please cite above paper for research purpose.

Original	Filtered	Luminance Filtered
	SigmaSpace: 16 SigmaRange: 0.076 (auto) Execution time 1.22s	SigmaSpace: 16 SigmaRange: 0.76 (auto) Execution time 348.56ms
	SigmaSpace: 16 SigmaRange: 0.092 (auto) Execution time 21.66s	SigmaSpace: 16 SigmaRange: 0.76 (auto) Execution time 347.69ms

// Fast Bilateral
bilateral.Auto(m)
// Luminance Fast Bilateral
luminance.Auto(m)

Requirements

• Golang 1.7.x

Installation

$ go get -u github.com/mdouchement/bilateral

Usage

fi, _ := os.Open("input_path")
defer fi.Close()
m, _, _ := image.Decode(fi)
start := time.Now()
fbl := bilateral.New(m, 16, 0.1)
fbl.Execute()
m2 := fbl.ResultImage() // Or use `At(x, y)` func or just use `fbl` as an image.Image for chained treatments.
fo, _ := os.Create("output_path")
defer fo.Close()
jpeg.Encode(fo, m2, &jpeg.Options{Quality: 100})

Full example

Licence

MIT. See the LICENSE for more details.

Contributing

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Launch linter (gometalinter --config=gometalinter.json ./...)
4. Commit your changes (git commit -am 'Add some feature')
5. Push to the branch (git push origin my-new-feature)
6. Create new Pull Request