A collection of parallel image processing algorithms in pure Go.
The aim of this project is simplicity in use and development over high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It is based on standard Go packages to reduce dependency use and development abstractions.
http://godoc.org/github.com/anthonynsimon/bild
Download and compile from sources:
go get github.com/anthonynsimon/bild
Or get the pre-compiled binaries for your platform on the releases page
# Available commands
$ bild
> A collection of parallel image processing algorithms in pure Go
>
> Usage:
> bild [command]
>
> Available Commands:
> adjust adjust basic image features like brightness or contrast
> blend blend two images together
> blur blur an image using the specified method
> channel channel operations on images
> effect apply effects on images
> help Help about any command
> histogram histogram operations on images
> imgio i/o operations on images
> noise noise generators
> segment segment an image using the specified method
>
> Flags:
> -h, --help help for bild
> --version version for bild
>
> Use "bild [command] --help" for more information about a command.
# For example
$ bild effect median --radius 1.5 input.png output.pngbild requires Go version 1.11 or greater.
go get github.com/anthonynsimon/bild/...package main
import (
"github.com/anthonynsimon/bild/effect"
"github.com/anthonynsimon/bild/imgio"
"github.com/anthonynsimon/bild/transform"
)
func main() {
img, err := imgio.Open("filename.jpg")
if err != nil {
panic(err)
}
inverted := effect.Invert(img)
resized := transform.Resize(inverted, 800, 800, transform.Linear)
rotated := transform.Rotate(resized, 45, nil)
// Or imgio.JPEGEncoder(95) as encoder for JPG with quality of 95%
if err := imgio.Save("filename.png", rotated, imgio.PNGEncoder()); err != nil {
panic(err)
}
}import "github.com/anthonynsimon/bild/adjust"
result := adjust.Brightness(img, 0.25)
result := adjust.Contrast(img, -0.5)
result := adjust.Gamma(img, 2.2)
result := adjust.Hue(img, -42)
result := adjust.Saturation(img, 0.5)
import "github.com/anthonynsimon/bild/blend"
result := blend.Multiply(bg, fg)
| Add | Color Burn | Color Dodge |
|---|---|---|
| Darken | Difference | Divide |
| Exclusion | Lighten | Linear Burn |
| Linear Light | Multiply | Normal |
| Opacity | Overlay | Screen |
| Soft Light | Subtract | |
import "github.com/anthonynsimon/bild/blur"
result := blur.Box(img, 3.0)
result := blur.Gaussian(img, 3.0)
import "github.com/anthonynsimon/bild/channel"
result := channel.Extract(img, channel.Alpha)
result := channel.ExtractMultiple(img, channel.Red, channel.Alpha)
import "github.com/anthonynsimon/bild/effect"
result := effect.Dilate(img, 3)
result := effect.EdgeDetection(img, 1.0)
result := effect.Emboss(img)
result := effect.Erode(img, 3)
result := effect.Grayscale(img)
result := effect.Invert(img)
result := effect.Median(img, 10.0)
result := effect.Sepia(img)
result := effect.Sharpen(img)
result := effect.Sobel(img)
result := effect.UnsharpMask(img, 0.6, 1.2)
import "github.com/anthonynsimon/bild/histogram"
hist := histogram.NewRGBAHistogram(img)
result := hist.Image()
import "github.com/anthonynsimon/bild/noise"
result := noise.Generate(280, 280, &noise.Options{Monochrome: false, NoiseFn: noise.Uniform})
result := noise.Generate(280, 280, &noise.Options{Monochrome: true, NoiseFn: noise.Binary})
result := noise.Generate(280, 280, &noise.Options{Monochrome: true, NoiseFn: noise.Gaussian})
import "github.com/anthonynsimon/bild/paint"
// Fuzz is the percentage of maximum color distance that is tolerated
result := paint.FloodFill(img, image.Point{240, 0}, color.RGBA{255, 0, 0, 255}, 15)
import "github.com/anthonynsimon/bild/segment"
result := segment.Threshold(img, 128)
import "github.com/anthonynsimon/bild/transform"
// Source image is 280x280
result := transform.Crop(img, image.Rect(70,70,210,210))
result := transform.FlipH(img)
result := transform.FlipV(img)
result := transform.Resize(img, 280, 280, transform.Linear)
| Nearest Neighbor | Linear | Gaussian |
|---|---|---|
| Mitchell Netravali | Catmull Rom | Lanczos |
// Options set to nil will use defaults (ResizeBounds set to false, Pivot at center)
result := transform.Rotate(img, -45.0, nil)
// If ResizeBounds is set to true, the full rotation bounding area is used
result := transform.Rotate(img, -45.0, &transform.RotationOptions{ResizeBounds: true})
// Pivot coordinates are set from the top-left corner
// Notice ResizeBounds being set to default (false)
result := transform.Rotate(img, -45.0, &transform.RotationOptions{Pivot: &image.Point{0, 0}})
result := transform.ShearH(img, 30)
result := transform.ShearV(img, 30)
result := transform.Translate(img, 80, 0)
This project is licensed under the MIT license. Please read the LICENSE file.
Want to hack on the project? Any kind of contribution is welcome!
Simply follow the next steps:
- Fork the project.
- Create a new branch.
- Make your changes and write tests when practical.
- Commit your changes to the new branch.
- Send a pull request, it will be reviewed shortly.
In case you want to add a feature, please create a new issue and briefly explain what the feature would consist of. For bugs or requests, before creating an issue please check if one has already been created for it.