mirror of
https://github.com/superseriousbusiness/gotosocial
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91c8d5d20d
* use disintegration/imaging instead of nfnt/resize * update tests * use disintegration lib for thumbing (if necessary)
254 lines
7.2 KiB
Go
254 lines
7.2 KiB
Go
package imaging
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import (
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"image"
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"image/color"
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"math"
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)
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// Grayscale produces a grayscale version of the image.
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func Grayscale(img image.Image) *image.NRGBA {
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src := newScanner(img)
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dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
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parallel(0, src.h, func(ys <-chan int) {
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for y := range ys {
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i := y * dst.Stride
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src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
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for x := 0; x < src.w; x++ {
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d := dst.Pix[i : i+3 : i+3]
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r := d[0]
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g := d[1]
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b := d[2]
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f := 0.299*float64(r) + 0.587*float64(g) + 0.114*float64(b)
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y := uint8(f + 0.5)
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d[0] = y
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d[1] = y
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d[2] = y
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i += 4
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}
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}
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})
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return dst
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}
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// Invert produces an inverted (negated) version of the image.
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func Invert(img image.Image) *image.NRGBA {
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src := newScanner(img)
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dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
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parallel(0, src.h, func(ys <-chan int) {
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for y := range ys {
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i := y * dst.Stride
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src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
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for x := 0; x < src.w; x++ {
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d := dst.Pix[i : i+3 : i+3]
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d[0] = 255 - d[0]
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d[1] = 255 - d[1]
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d[2] = 255 - d[2]
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i += 4
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}
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}
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})
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return dst
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}
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// AdjustSaturation changes the saturation of the image using the percentage parameter and returns the adjusted image.
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// The percentage must be in the range (-100, 100).
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// The percentage = 0 gives the original image.
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// The percentage = 100 gives the image with the saturation value doubled for each pixel.
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// The percentage = -100 gives the image with the saturation value zeroed for each pixel (grayscale).
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//
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// Examples:
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// dstImage = imaging.AdjustSaturation(srcImage, 25) // Increase image saturation by 25%.
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// dstImage = imaging.AdjustSaturation(srcImage, -10) // Decrease image saturation by 10%.
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//
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func AdjustSaturation(img image.Image, percentage float64) *image.NRGBA {
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percentage = math.Min(math.Max(percentage, -100), 100)
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multiplier := 1 + percentage/100
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return AdjustFunc(img, func(c color.NRGBA) color.NRGBA {
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h, s, l := rgbToHSL(c.R, c.G, c.B)
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s *= multiplier
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if s > 1 {
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s = 1
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}
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r, g, b := hslToRGB(h, s, l)
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return color.NRGBA{r, g, b, c.A}
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})
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}
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// AdjustContrast changes the contrast of the image using the percentage parameter and returns the adjusted image.
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// The percentage must be in range (-100, 100). The percentage = 0 gives the original image.
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// The percentage = -100 gives solid gray image.
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//
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// Examples:
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//
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// dstImage = imaging.AdjustContrast(srcImage, -10) // Decrease image contrast by 10%.
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// dstImage = imaging.AdjustContrast(srcImage, 20) // Increase image contrast by 20%.
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//
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func AdjustContrast(img image.Image, percentage float64) *image.NRGBA {
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percentage = math.Min(math.Max(percentage, -100.0), 100.0)
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lut := make([]uint8, 256)
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v := (100.0 + percentage) / 100.0
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for i := 0; i < 256; i++ {
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switch {
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case 0 <= v && v <= 1:
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lut[i] = clamp((0.5 + (float64(i)/255.0-0.5)*v) * 255.0)
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case 1 < v && v < 2:
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lut[i] = clamp((0.5 + (float64(i)/255.0-0.5)*(1/(2.0-v))) * 255.0)
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default:
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lut[i] = uint8(float64(i)/255.0+0.5) * 255
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}
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}
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return adjustLUT(img, lut)
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}
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// AdjustBrightness changes the brightness of the image using the percentage parameter and returns the adjusted image.
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// The percentage must be in range (-100, 100). The percentage = 0 gives the original image.
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// The percentage = -100 gives solid black image. The percentage = 100 gives solid white image.
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//
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// Examples:
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//
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// dstImage = imaging.AdjustBrightness(srcImage, -15) // Decrease image brightness by 15%.
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// dstImage = imaging.AdjustBrightness(srcImage, 10) // Increase image brightness by 10%.
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//
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func AdjustBrightness(img image.Image, percentage float64) *image.NRGBA {
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percentage = math.Min(math.Max(percentage, -100.0), 100.0)
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lut := make([]uint8, 256)
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shift := 255.0 * percentage / 100.0
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for i := 0; i < 256; i++ {
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lut[i] = clamp(float64(i) + shift)
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}
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return adjustLUT(img, lut)
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}
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// AdjustGamma performs a gamma correction on the image and returns the adjusted image.
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// Gamma parameter must be positive. Gamma = 1.0 gives the original image.
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// Gamma less than 1.0 darkens the image and gamma greater than 1.0 lightens it.
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//
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// Example:
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//
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// dstImage = imaging.AdjustGamma(srcImage, 0.7)
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//
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func AdjustGamma(img image.Image, gamma float64) *image.NRGBA {
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e := 1.0 / math.Max(gamma, 0.0001)
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lut := make([]uint8, 256)
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for i := 0; i < 256; i++ {
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lut[i] = clamp(math.Pow(float64(i)/255.0, e) * 255.0)
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}
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return adjustLUT(img, lut)
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}
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// AdjustSigmoid changes the contrast of the image using a sigmoidal function and returns the adjusted image.
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// It's a non-linear contrast change useful for photo adjustments as it preserves highlight and shadow detail.
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// The midpoint parameter is the midpoint of contrast that must be between 0 and 1, typically 0.5.
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// The factor parameter indicates how much to increase or decrease the contrast, typically in range (-10, 10).
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// If the factor parameter is positive the image contrast is increased otherwise the contrast is decreased.
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//
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// Examples:
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//
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// dstImage = imaging.AdjustSigmoid(srcImage, 0.5, 3.0) // Increase the contrast.
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// dstImage = imaging.AdjustSigmoid(srcImage, 0.5, -3.0) // Decrease the contrast.
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//
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func AdjustSigmoid(img image.Image, midpoint, factor float64) *image.NRGBA {
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if factor == 0 {
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return Clone(img)
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}
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lut := make([]uint8, 256)
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a := math.Min(math.Max(midpoint, 0.0), 1.0)
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b := math.Abs(factor)
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sig0 := sigmoid(a, b, 0)
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sig1 := sigmoid(a, b, 1)
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e := 1.0e-6
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if factor > 0 {
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for i := 0; i < 256; i++ {
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x := float64(i) / 255.0
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sigX := sigmoid(a, b, x)
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f := (sigX - sig0) / (sig1 - sig0)
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lut[i] = clamp(f * 255.0)
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}
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} else {
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for i := 0; i < 256; i++ {
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x := float64(i) / 255.0
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arg := math.Min(math.Max((sig1-sig0)*x+sig0, e), 1.0-e)
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f := a - math.Log(1.0/arg-1.0)/b
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lut[i] = clamp(f * 255.0)
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}
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}
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return adjustLUT(img, lut)
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}
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func sigmoid(a, b, x float64) float64 {
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return 1 / (1 + math.Exp(b*(a-x)))
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}
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// adjustLUT applies the given lookup table to the colors of the image.
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func adjustLUT(img image.Image, lut []uint8) *image.NRGBA {
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src := newScanner(img)
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dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
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lut = lut[0:256]
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parallel(0, src.h, func(ys <-chan int) {
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for y := range ys {
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i := y * dst.Stride
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src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
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for x := 0; x < src.w; x++ {
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d := dst.Pix[i : i+3 : i+3]
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d[0] = lut[d[0]]
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d[1] = lut[d[1]]
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d[2] = lut[d[2]]
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i += 4
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}
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}
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})
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return dst
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}
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// AdjustFunc applies the fn function to each pixel of the img image and returns the adjusted image.
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//
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// Example:
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//
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// dstImage = imaging.AdjustFunc(
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// srcImage,
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// func(c color.NRGBA) color.NRGBA {
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// // Shift the red channel by 16.
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// r := int(c.R) + 16
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// if r > 255 {
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// r = 255
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// }
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// return color.NRGBA{uint8(r), c.G, c.B, c.A}
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// }
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// )
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//
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func AdjustFunc(img image.Image, fn func(c color.NRGBA) color.NRGBA) *image.NRGBA {
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src := newScanner(img)
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dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
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parallel(0, src.h, func(ys <-chan int) {
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for y := range ys {
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i := y * dst.Stride
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src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
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for x := 0; x < src.w; x++ {
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d := dst.Pix[i : i+4 : i+4]
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r := d[0]
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g := d[1]
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b := d[2]
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a := d[3]
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c := fn(color.NRGBA{r, g, b, a})
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d[0] = c.R
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d[1] = c.G
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d[2] = c.B
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d[3] = c.A
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i += 4
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}
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}
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})
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return dst
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}
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