mirror of
https://github.com/superseriousbusiness/gotosocial
synced 2024-12-27 13:13:10 +00:00
165 lines
4.7 KiB
Go
165 lines
4.7 KiB
Go
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package blurhash
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import (
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"fmt"
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"github.com/buckket/go-blurhash/base83"
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"image"
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"math"
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"strings"
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)
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func init() {
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initLinearTable(channelToLinear[:])
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}
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var channelToLinear [256]float64
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func initLinearTable(table []float64) {
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for i := range table {
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channelToLinear[i] = sRGBToLinear(i)
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}
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}
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// An InvalidParameterError occurs when an invalid argument is passed to either the Decode or Encode function.
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type InvalidParameterError struct {
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Value int
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Parameter string
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}
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func (e InvalidParameterError) Error() string {
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return fmt.Sprintf("blurhash: %sComponents (%d) must be element of [1-9]", e.Parameter, e.Value)
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}
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// An EncodingError represents an error that occurred during the encoding of the given value.
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// This most likely means that your input image is invalid and can not be processed.
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type EncodingError string
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func (e EncodingError) Error() string {
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return fmt.Sprintf("blurhash: %s", string(e))
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}
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// Encode calculates the Blurhash for an image using the given x and y component counts.
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// The x and y components have to be between 1 and 9 respectively.
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// The image must be of image.Image type.
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func Encode(xComponents int, yComponents int, rgba image.Image) (string, error) {
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if xComponents < 1 || xComponents > 9 {
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return "", InvalidParameterError{xComponents, "x"}
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}
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if yComponents < 1 || yComponents > 9 {
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return "", InvalidParameterError{yComponents, "y"}
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}
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var blurhash strings.Builder
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blurhash.Grow(4 + 2*xComponents*yComponents)
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// Size Flag
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str, err := base83.Encode((xComponents-1)+(yComponents-1)*9, 1)
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if err != nil {
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return "", EncodingError("could not encode size flag")
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}
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blurhash.WriteString(str)
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factors := make([]float64, yComponents*xComponents*3)
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multiplyBasisFunction(rgba, factors, xComponents, yComponents)
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var maximumValue float64
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var quantisedMaximumValue int
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var acCount = xComponents*yComponents - 1
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if acCount > 0 {
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var actualMaximumValue float64
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for i := 0; i < acCount*3; i++ {
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actualMaximumValue = math.Max(math.Abs(factors[i+3]), actualMaximumValue)
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}
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quantisedMaximumValue = int(math.Max(0, math.Min(82, math.Floor(actualMaximumValue*166-0.5))))
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maximumValue = (float64(quantisedMaximumValue) + 1) / 166
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} else {
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maximumValue = 1
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}
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// Quantised max AC component
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str, err = base83.Encode(quantisedMaximumValue, 1)
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if err != nil {
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return "", EncodingError("could not encode quantised max AC component")
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}
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blurhash.WriteString(str)
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// DC value
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str, err = base83.Encode(encodeDC(factors[0], factors[1], factors[2]), 4)
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if err != nil {
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return "", EncodingError("could not encode DC value")
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}
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blurhash.WriteString(str)
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// AC values
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for i := 0; i < acCount; i++ {
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str, err = base83.Encode(encodeAC(factors[3+(i*3+0)], factors[3+(i*3+1)], factors[3+(i*3+2)], maximumValue), 2)
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if err != nil {
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return "", EncodingError("could not encode AC value")
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}
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blurhash.WriteString(str)
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}
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if blurhash.Len() != 4+2*xComponents*yComponents {
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return "", EncodingError("hash does not match expected size")
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}
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return blurhash.String(), nil
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}
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func multiplyBasisFunction(rgba image.Image, factors []float64, xComponents int, yComponents int) {
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height := rgba.Bounds().Max.Y
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width := rgba.Bounds().Max.X
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xvalues := make([][]float64, xComponents)
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for xComponent := 0; xComponent < xComponents; xComponent++ {
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xvalues[xComponent] = make([]float64, width)
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for x := 0; x < width; x++ {
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xvalues[xComponent][x] = math.Cos(math.Pi * float64(xComponent) * float64(x) / float64(width))
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}
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}
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yvalues := make([][]float64, yComponents)
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for yComponent := 0; yComponent < yComponents; yComponent++ {
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yvalues[yComponent] = make([]float64, height)
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for y := 0; y < height; y++ {
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yvalues[yComponent][y] = math.Cos(math.Pi * float64(yComponent) * float64(y) / float64(height))
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}
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}
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for y := 0; y < height; y++ {
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for x := 0; x < width; x++ {
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rt, gt, bt, _ := rgba.At(x, y).RGBA()
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lr := channelToLinear[rt>>8]
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lg := channelToLinear[gt>>8]
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lb := channelToLinear[bt>>8]
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for yc := 0; yc < yComponents; yc++ {
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for xc := 0; xc < xComponents; xc++ {
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scale := 1 / float64(width*height)
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if xc != 0 || yc != 0 {
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scale = 2 / float64(width*height)
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}
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basis := xvalues[xc][x] * yvalues[yc][y]
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factors[0+xc*3+yc*3*xComponents] += lr * basis * scale
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factors[1+xc*3+yc*3*xComponents] += lg * basis * scale
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factors[2+xc*3+yc*3*xComponents] += lb * basis * scale
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}
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}
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}
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}
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}
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func encodeDC(r, g, b float64) int {
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return (linearTosRGB(r) << 16) + (linearTosRGB(g) << 8) + linearTosRGB(b)
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}
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func encodeAC(r, g, b, maximumValue float64) int {
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quant := func(f float64) int {
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return int(math.Max(0, math.Min(18, math.Floor(signPow(f/maximumValue, 0.5)*9+9.5))))
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}
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return quant(r)*19*19 + quant(g)*19 + quant(b)
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}
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