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package imaging_test
import (
"image"
"image/color"
"log"
"github.com/disintegration/imaging"
)
func Example() {
// Open the test image.
src, err := imaging.Open("testdata/lena_512.png")
if err != nil {
log.Fatalf("Open failed: %v", err)
}
// Crop the original image to 350x350px size using the center anchor.
src = imaging.CropAnchor(src, 350, 350, imaging.Center)
// Resize the cropped image to width = 256px preserving the aspect ratio.
src = imaging.Resize(src, 256, 0, imaging.Lanczos)
// Create a blurred version of the image.
img1 := imaging.Blur(src, 2)
// Create a grayscale version of the image with higher contrast and sharpness.
img2 := imaging.Grayscale(src)
img2 = imaging.AdjustContrast(img2, 20)
img2 = imaging.Sharpen(img2, 2)
// Create an inverted version of the image.
img3 := imaging.Invert(src)
// Create an embossed version of the image using a convolution filter.
img4 := imaging.Convolve3x3(
src,
[9]float64{
-1, -1, 0,
-1, 1, 1,
0, 1, 1,
},
nil,
)
// Create a new image and paste the four produced images into it.
dst := imaging.New(512, 512, color.NRGBA{0, 0, 0, 0})
dst = imaging.Paste(dst, img1, image.Pt(0, 0))
dst = imaging.Paste(dst, img2, image.Pt(0, 256))
dst = imaging.Paste(dst, img3, image.Pt(256, 0))
dst = imaging.Paste(dst, img4, image.Pt(256, 256))
// Save the resulting image using JPEG format.
err = imaging.Save(dst, "testdata/out_example.jpg")
if err != nil {
log.Fatalf("Save failed: %v", err)
}
}
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