dyfire / gift

Go Image Filtering Toolkit

GO IMAGE FILTERING TOOLKIT (GIFT)

Package gift provides a set of useful image processing filters.

Pure Go. No external dependencies outside of the Go standard library.

INSTALLATION / UPDATING

go get -u github.com/disintegration/gift

DOCUMENTATION

http://godoc.org/github.com/disintegration/gift

QUICK START

// 1. Create a new GIFT and add some filters:
g := gift.New(
    gift.Resize(800, 0, gift.LanczosResampling),
    gift.UnsharpMask(1.0, 1.0, 0.0),
)

// 2. Create a new image of the corresponding size.
// dst is a new target image, src is the original image
dst := image.NewRGBA(g.Bounds(src.Bounds()))

// 3. Use Draw func to apply the filters to src and store the result in dst:
g.Draw(dst, src)

SUPPORTED FILTERS

• Transformations

  • Crop(rect image.Rectangle)
  • FlipHorizontal()
  • FlipVertical()
  • Resize(width, height int, resampling Resampling)
  • Rotate(angle float32, backgroundColor color.Color, interpolation Interpolation)
  • Rotate180()
  • Rotate270()
  • Rotate90()
  • Transpose()
  • Transverse()

• Adjustments & effects

  • Brightness(percentage float32)
  • ColorBalance(percentageRed, percentageGreen, percentageBlue float32)
  • Colorize(hue, saturation, percentage float32)
  • ColorspaceLinearToSRGB()
  • ColorspaceSRGBToLinear()
  • Contrast(percentage float32)
  • Convolution(kernel []float32, normalize, alpha, abs bool, delta float32)
  • Gamma(gamma float32)
  • GaussianBlur(sigma float32)
  • Grayscale()
  • Hue(shift float32)
  • Invert()
  • Maximum(ksize int, disk bool)
  • Mean(ksize int, disk bool)
  • Median(ksize int, disk bool)
  • Minimum(ksize int, disk bool)
  • Saturation(percentage float32)
  • Sepia(percentage float32)
  • Sigmoid(midpoint, factor float32)
  • UnsharpMask(sigma, amount, thresold float32)

FILTER EXAMPLES

Resize using lanczos resampling

gift.Resize(200, 0, gift.LanczosResampling)

Original image	Filtered image

Resize using linear resampling

gift.Resize(200, 0, gift.LinearResampling)

Original image	Filtered image

Crop 90, 90 - 250, 250

gift.Crop(image.Rect(90, 90, 250, 250))

Original image	Filtered image

Rotate 90 degrees

gift.Rotate90()

Original image	Filtered image

Rotate 180 degrees

gift.Rotate180()

Original image	Filtered image

Rotate 270 degrees

gift.Rotate270()

Original image	Filtered image

Rotate 30 degrees, white background, cubic interpolation

gift.Rotate(30, color.White, gift.CubicInterpolation)

Original image	Filtered image

Flip horizontal

gift.FlipHorizontal()

Original image	Filtered image

Flip vertical

gift.FlipVertical()

Original image	Filtered image

Transpose

gift.Transpose()

Original image	Filtered image

Transverse

gift.Transverse()

Original image	Filtered image

Contrast +30%

gift.Contrast(30)

Original image	Filtered image

Contrast -30%

gift.Contrast(-30)

Original image	Filtered image

Brightness +30%

gift.Brightness(30)

Original image	Filtered image

Brightness -30%

gift.Brightness(-30)

Original image	Filtered image

Saturation +50%

gift.Saturation(50)

Original image	Filtered image

Saturation -50%

gift.Saturation(-50)

Original image	Filtered image

Hue +45

gift.Hue(45)

Original image	Filtered image

Hue -45

gift.Hue(-45)

Original image	Filtered image

Sigmoid 0.5, 5.0

gift.Sigmoid(0.5, 5.0)

Original image	Filtered image

Gamma correction = 0.5

gift.Gamma(0.5)

Original image	Filtered image

Gamma correction = 1.5

gift.Gamma(1.5)

Original image	Filtered image

Gaussian blur, sigma=1.0

gift.GaussianBlur(1.0)

Original image	Filtered image

Unsharp mask, sigma=1.0, amount=1.5, thresold=0.0

gift.UnsharpMask(1.0, 1.5, 0.0)

Original image	Filtered image

Grayscale

gift.Grayscale()

Original image	Filtered image

Sepia, 100%

gift.Sepia(100)

Original image	Filtered image

Invert

gift.Invert()

Original image	Filtered image

Colorize, blue, saturation=100%

gift.Colorize(240, 100, 100)

Original image	Filtered image

Color balance, +20% red, -20% green

gift.ColorBalance(20, -20, 0)

Original image	Filtered image

Local mean, disc shape, size=5

gift.Mean(5, true)

Original image	Filtered image

Local median, disc shape, size=5

gift.Median(5, true)

Original image	Filtered image

Local minimum, disc shape, size=5

gift.Minimum(5, true)

Original image	Filtered image

Local maximum, disc shape, size=5

gift.Maximum(5, true)

Original image	Filtered image

Convolution matrix - Emboss

gift.Convolution(
    []float32{
        -1, -1, 0,
        -1, 1, 1,
        0, 1, 1,
    },
    false, false, false, 0.0,
)

Original image	Filtered image

Convolution matrix - Edge detection

gift.Convolution(
    []float32{
        -1, -1, -1,
        -1, 8, -1,
        -1, -1, -1,
    },
    false, false, false, 0.0,
)

Original image	Filtered image