Package imaging provides basic image manipulation functions (resize, rotate, flip, crop, etc.). This package is based on the standard Go image package and works best along with it.
go get -u github.com/disintegration/imaging
http://godoc.org/github.com/disintegration/imaging
Image manipulation functions provided by the package take any image type
that implements image.Image interface as an input, and return a new image of
*image.NRGBA type (32bit RGBA colors, not premultiplied by alpha).
Note: some of examples below require importing standard image or image/color packages.
Imaging package uses parallel goroutines for faster image processing.
To achieve maximum performance, make sure to allow Go to utilize all CPU cores. Use standard runtime package:
runtime.GOMAXPROCS(runtime.NumCPU())There are three image resizing functions in the package: Resize, Fit and Thumbnail.
Resize resizes the image to the specified width and height using the specified resample filter and returns the transformed image. If one of width or height is 0, the image aspect ratio is preserved.
Fit scales down the image using the specified resample filter to fit the specified maximum width and height and returns the transformed image. The image aspect ratio is preserved.
Thumbnail scales the image up or down using the specified resample filter, crops it to the specified width and hight and returns the transformed image.
All three resizing function take ResampleFilter as the last argument.
A complete list of supported filters: NearestNeighbor, Box, Linear, Hermite, MitchellNetravali,
CatmullRom, BSpline, Gaussian, Lanczos, Hann, Hamming, Blackman, Bartlett, Welch, Cosine.
CatmullRom (cubic filter) and Lanczos are recommended for high quality general purpose image resizing.
NearestNeighbor is the fastest one but applies no anti-aliasing.
// resize srcImage to width = 800px preserving the aspect ratio
dstImage := imaging.Resize(srcImage, 800, 0, imaging.Lanczos)
// scale down srcImage to fit the 800x600px bounding box
dstImage = imaging.Fit(srcImage, 800, 600, imaging.Lanczos)
// make a 100x100px thumbnail from srcImage
dstImage = imaging.Thumbnail(srcImage, 100, 100, imaging.Lanczos)Imaging package implements functions to rotate an image 90, 180 or 270 degrees (counter-clockwise) and to flip an image horizontally or vertically.
dstImage = imaging.Rotate90(srcImage) // rotate 90 degrees counter-clockwise
dstImage = imaging.Rotate180(srcImage) // rotate 180 degrees counter-clockwise
dstImage = imaging.Rotate270(srcImage) // rotate 270 degrees counter-clockwise
dstImage = imaging.FlipH(srcImage) // flip horizontally (from left to right)
dstImage = imaging.FlipV(srcImage) // flip vertically (from top to bottom)Crop cuts out a rectangular region with the specified bounds from the image and returns the cropped image.
CropCenter cuts out a rectangular region with the specified size from the center of the image and returns the cropped image.
Paste pastes one image into another at the specified position and returns the combined image.
PasteCenter pastes one image to the center of another image and returns the combined image.
Overlay draws one image over another image at the specified position with the specified opacity and returns the combined image. Opacity parameter must be from 0.0 (fully transparent) to 1.0 (opaque).
// cut out a rectangular region from the image
dstImage = imaging.Crop(srcImage, image.Rect(50, 50, 100, 100))
// cut out a 100x100 px region from the center of the image
dstImage = imaging.CropCenter(srcImage, 100, 100)
// paste the srcImage to the backgroundImage at the (50, 50) position
dstImage = imaging.Paste(backgroundImage, srcImage, image.Pt(50, 50))
// paste the srcImage to the center of the backgroundImage
dstImage = imaging.PasteCenter(backgroundImage, srcImage)
// draw the srcImage over the backgroundImage at the (50, 50) position with opacity=0.5
dstImage = imaging.Overlay(backgroundImage, srcImage, image.Pt(50, 50), 0.5)Blur produces a blurred version of the image.
Sharpen produces a sharpened version of the image.
Both functions take the sigma argument that is used in a Gaussian function.
Sigma must be a positive floating point value indicating how much the image
will be blurred or sharpened and how many neighbours of each pixel will be affected.
dstImage = imaging.Blur(srcImage, 4.5)
dstImage = imaging.Sharpen(srcImage, 3.0)AdjustGamma performs a gamma correction on the image and returns the adjusted image. Gamma parameter must be positive. Gamma = 1.0 gives the original image. Gamma less than 1.0 darkens the image and gamma greater than 1.0 lightens it.
dstImage = imaging.AdjustGamma(srcImage, 0.7)AdjustBrightness changes the brightness of the image using the percentage parameter and returns the adjusted image. The percentage must be in range (-100, 100). The percentage = 0 gives the original image. The percentage = -100 gives solid black image. The percentage = 100 gives solid white image.
dstImage = imaging.AdjustBrightness(srcImage, 10) // increase the brightness by 10%
dstImage = imaging.AdjustBrightness(srcImage, -15) // decrease the brightness by 15%AdjustContrast changes the contrast of the image using the percentage parameter and returns the adjusted image. The percentage must be in range (-100, 100). The percentage = 0 gives the original image. The percentage = -100 gives solid grey image.
dstImage = imaging.AdjustContrast(srcImage, 20) // increase the contrast by 20%
dstImage = imaging.AdjustContrast(srcImage, -10) // decrease the contrast by 10%AdjustSigmoid changes the contrast of the image using a sigmoidal function and returns the adjusted image. It's a non-linear contrast change useful for photo adjustments as it preserves highlight and shadow detail. The midpoint parameter is the midpoint of contrast that must be between 0 and 1, typically 0.5. The factor parameter indicates how much to increase or decrease the contrast, typically in range (-10, 10). If the factor parameter is positive the image contrast is increased otherwise the contrast is decreased.
dstImage = imaging.AdjustSigmoid(srcImage, 0.5, 3.0) // increase the contrast
dstImage = imaging.AdjustSigmoid(srcImage, 0.5, -3.0) // decrease the contrastGrayscale produces grayscale version of the image.
dstImage = imaging.Grayscale(srcImage)Invert produces inverted (negated) version of the image.
dstImage = imaging.Invert(srcImage)Imaging package provides useful shortcuts for image loading, saving, creation and copying. Open and Save functions support JPEG, PNG, TIFF and BMP images. External libraries can be used to load other image formats.
// load an image from file
img, err := imaging.Open("src.png")
if err != nil {
panic(err)
}
// save the image to file
err = imaging.Save(img, "dst.jpg")
if err != nil {
panic(err)
}
// create a new 800x600px image filled with red color
newImg := imaging.New(800, 600, color.NRGBA{255, 0, 0, 255})
// make a copy of the image
copiedImg := imaging.Clone(img)Here is the complete example that loades several images, makes thumbnails of them and joins them together.
package main
import (
"image"
"image/color"
"runtime"
"github.com/disintegration/imaging"
)
func main() {
// use all CPU cores for maximum performance
runtime.GOMAXPROCS(runtime.NumCPU())
// input files
files := []string{"01.jpg", "02.jpg", "03.jpg"}
// load images and make 100x100 thumbnails of them
var thumbnails []image.Image
for _, file := range files {
img, err := imaging.Open(file)
if err != nil {
panic(err)
}
thumb := imaging.Thumbnail(img, 100, 100, imaging.CatmullRom)
thumbnails = append(thumbnails, thumb)
}
// create a new blank image
dst := imaging.New(100*len(thumbnails), 100, color.NRGBA{0, 0, 0, 0})
// paste thumbnails into the new image side by side
for i, thumb := range thumbnails {
dst = imaging.Paste(dst, thumb, image.Pt(i*100, 0))
}
// save the combined image to file
err := imaging.Save(dst, "dst.jpg")
if err != nil {
panic(err)
}
}