To apply artistic filters and stylize images in Go, you can use various libraries and packages available. One popular library for image processing in Go is the "github.com/disintegration/imaging" package.
Here's an example of how you can use this package to apply artistic filters and stylize images:
First, install the package using the following command:
go get -u github.com/disintegration/imaging
Import the necessary packages in your Go code:
import (
"github.com/disintegration/imaging"
"image"
)
Load the image you want to stylize:
srcImage, err := imaging.Open("path/to/source/image.jpg")
if err != nil {
// handle error
}
Apply filters and stylize the image using the available functions:
// Apply Sepia filter
sepiaImage := imaging.AdjustFunc(srcImage, func(c color.NRGBA) color.NRGBA {
r, g, b, _ := c.RGBA()
red := float64(r)
green := float64(g)
blue := float64(b)
newRed := 0.393*red + 0.769*green + 0.189*blue
newGreen := 0.349*red + 0.686*green + 0.168*blue
newBlue := 0.272*red + 0.534*green + 0.131*blue
return color.NRGBA{R: uint8(newRed), G: uint8(newGreen), B: uint8(newBlue), A: c.A}
})
// Apply Grayscale filter
grayscaleImage := imaging.Grayscale(srcImage)
// Apply Gaussian blur
blurredImage := imaging.Blur(srcImage, 5.0)
Save the resulting stylized images:
err = imaging.Save(sepiaImage, "path/to/save/sepia_image.jpg")
if err != nil {
// handle error
}
err = imaging.Save(grayscaleImage, "path/to/save/grayscale_image.jpg")
if err != nil {
// handle error
}
err = imaging.Save(blurredImage, "path/to/save/blurred_image.jpg")
if err != nil {
// handle error
}
Remember to handle any errors that may occur during image loading, stylization, or saving. Additionally, you can explore other available functions and adjustments provided by the "github.com/disintegration/imaging" package to apply various filters and stylize images according to your requirements.