Refactored Perceptionhash for performance (#54)

* refactored Perceptionhash for performance

* update AUTHORS.md

* replaced PerceptionHash algorithm

* Update hashcompute_test.go

Co-authored-by: Dong-hee Na <donghee.na92@gmail.com>

* Update hashcompute_test.go

Co-authored-by: Evan Oberholster <eroberholster@gmail.com>
Co-authored-by: Dong-hee Na <donghee.na92@gmail.com>
This commit is contained in:
evanoberholster 2022-05-26 02:56:47 -04:00 committed by GitHub
parent 3dc330e270
commit 45da7a6fef
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6 changed files with 319 additions and 6 deletions

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@ -2,4 +2,5 @@
- [Dominik Honnef](https://github.com/dominikh) dominik@honnef.co - [Dominik Honnef](https://github.com/dominikh) dominik@honnef.co
- [Dong-hee Na](https://github.com/corona10/) donghee.na92@gmail.com - [Dong-hee Na](https://github.com/corona10/) donghee.na92@gmail.com
- [Gustavo Brunoro](https://github.com/brunoro/) git@hitnail.net - [Gustavo Brunoro](https://github.com/brunoro/) git@hitnail.net
- [Alex Higashino](https://github.com/TokyoWolFrog/) TokyoWolFrog@mayxyou.com - [Alex Higashino](https://github.com/TokyoWolFrog/) TokyoWolFrog@mayxyou.com
- [Evan Oberholster](https://github.com/evanoberholster/) eroberholster@gmail.com

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@ -30,6 +30,16 @@ func MedianOfPixels(pixels []float64) float64 {
return v return v
} }
// MedianOfPixelsFast64 function returns a median value of pixels.
// It uses quick selection algorithm.
func MedianOfPixelsFast64(pixels []float64) float64 {
tmp := [64]float64{}
copy(tmp[:], pixels)
l := len(tmp)
pos := l / 2
return quickSelectMedian(tmp[:], 0, l-1, pos)
}
func quickSelectMedian(sequence []float64, low int, hi int, k int) float64 { func quickSelectMedian(sequence []float64, low int, hi int, k int) float64 {
if low == hi { if low == hi {
return sequence[k] return sequence[k]

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@ -7,6 +7,7 @@ package goimagehash
import ( import (
"errors" "errors"
"image" "image"
"sync"
"github.com/corona10/goimagehash/etcs" "github.com/corona10/goimagehash/etcs"
"github.com/corona10/goimagehash/transforms" "github.com/corona10/goimagehash/transforms"
@ -71,19 +72,33 @@ func PerceptionHash(img image.Image) (*ImageHash, error) {
phash := NewImageHash(0, PHash) phash := NewImageHash(0, PHash)
resized := resize.Resize(64, 64, img, resize.Bilinear) resized := resize.Resize(64, 64, img, resize.Bilinear)
pixels := transforms.Rgb2Gray(resized)
dct := transforms.DCT2D(pixels, 64, 64) pixels := pixelPool64.Get().(*[]float64)
flattens := transforms.FlattenPixels(dct, 8, 8)
median := etcs.MedianOfPixels(flattens) transforms.Rgb2GrayFast(resized, pixels)
transforms.DCT2DFast64(pixels)
flattens := transforms.FlattenPixelsFast64(*pixels, 8, 8)
pixelPool64.Put(pixels)
median := etcs.MedianOfPixelsFast64(flattens)
for idx, p := range flattens { for idx, p := range flattens {
if p > median { if p > median {
phash.leftShiftSet(len(flattens) - idx - 1) phash.leftShiftSet(64 - idx - 1) // leftShiftSet
} }
} }
return phash, nil return phash, nil
} }
var pixelPool64 = sync.Pool{
New: func() interface{} {
p := make([]float64, 4096)
return &p
},
}
// ExtPerceptionHash function returns phash of which the size can be set larger than uint64 // ExtPerceptionHash function returns phash of which the size can be set larger than uint64
// Some variable name refer to https://github.com/JohannesBuchner/imagehash/blob/master/imagehash/__init__.py // Some variable name refer to https://github.com/JohannesBuchner/imagehash/blob/master/imagehash/__init__.py
// Support 64bits phash (width=8, height=8) and 256bits phash (width=16, height=16) // Support 64bits phash (width=8, height=8) and 256bits phash (width=16, height=16)

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@ -73,3 +73,27 @@ func DCT2D(input [][]float64, w int, h int) [][]float64 {
wg.Wait() wg.Wait()
return output return output
} }
// DCT2DFast64 function returns a result of DCT2D by using the seperable property.
// Fast uses static DCT tables for improved performance.
func DCT2DFast64(input *[]float64) {
if len(*input) != 4096 {
panic("incorrect input size")
}
for i := 0; i < 64; i++ { // height
DCT1DFast64((*input)[i*64 : (i*64)+64])
//forwardTransformFast((*input)[i*64:(i*64)+64], temp[:], 64)
}
for i := 0; i < 64; i++ { // width
row := [64]float64{}
for j := 0; j < 64; j++ {
row[j] = (*input)[i+((j)*64)]
}
DCT1DFast64(row[:])
for j := 0; j < len(row); j++ {
(*input)[i+(j*64)] = row[j]
}
}
}

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@ -27,6 +27,55 @@ func Rgb2Gray(colorImg image.Image) [][]float64 {
return pixels return pixels
} }
// Rgb2GrayFast function converts RGB to a gray scale array.
func Rgb2GrayFast(colorImg image.Image, pixels *[]float64) {
bounds := colorImg.Bounds()
w, h := bounds.Max.X-bounds.Min.X, bounds.Max.Y-bounds.Min.Y
if w != h {
return
}
switch c := colorImg.(type) {
case *image.YCbCr:
rgb2GrayYCbCR(c, *pixels, w)
case *image.RGBA:
rgb2GrayRGBA(c, *pixels, w)
default:
rgb2GrayDefault(c, *pixels, w)
}
}
// pixel2Gray converts a pixel to grayscale value base on luminosity
func pixel2Gray(r, g, b, a uint32) float64 {
return 0.299*float64(r/257) + 0.587*float64(g/257) + 0.114*float64(b/256)
}
// rgb2GrayDefault uses the image.Image interface
func rgb2GrayDefault(colorImg image.Image, pixels []float64, s int) {
for i := 0; i < s; i++ {
for j := 0; j < s; j++ {
pixels[j+(i*s)] = pixel2Gray(colorImg.At(j, i).RGBA())
}
}
}
// rgb2GrayYCbCR uses *image.YCbCr which is signifiantly faster than the image.Image interface.
func rgb2GrayYCbCR(colorImg *image.YCbCr, pixels []float64, s int) {
for i := 0; i < s; i++ {
for j := 0; j < s; j++ {
pixels[j+(i*s)] = pixel2Gray(colorImg.YCbCrAt(j, i).RGBA())
}
}
}
// rgb2GrayYCbCR uses *image.RGBA which is signifiantly faster than the image.Image interface.
func rgb2GrayRGBA(colorImg *image.RGBA, pixels []float64, s int) {
for i := 0; i < s; i++ {
for j := 0; j < s; j++ {
pixels[(i*s)+j] = pixel2Gray(colorImg.At(j, i).RGBA())
}
}
}
// FlattenPixels function flattens 2d array into 1d array. // FlattenPixels function flattens 2d array into 1d array.
func FlattenPixels(pixels [][]float64, x int, y int) []float64 { func FlattenPixels(pixels [][]float64, x int, y int) []float64 {
flattens := make([]float64, x*y) flattens := make([]float64, x*y)
@ -37,3 +86,14 @@ func FlattenPixels(pixels [][]float64, x int, y int) []float64 {
} }
return flattens return flattens
} }
// FlattenPixelsFast64 function flattens 2d array into 1d array.
func FlattenPixelsFast64(pixels []float64, x int, y int) []float64 {
flattens := [64]float64{}
for i := 0; i < y; i++ {
for j := 0; j < x; j++ {
flattens[y*i+j] = pixels[(i*64)+j]
}
}
return flattens[:]
}

203
transforms/static.go Normal file
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@ -0,0 +1,203 @@
package transforms
import "math"
// DCT1DFast64 function returns result of DCT-II.
// DCT type II, unscaled. Algorithm by Byeong Gi Lee, 1984.
// Static implementation by Evan Oberholster, 2022.
func DCT1DFast64(input []float64) {
var temp [64]float64
for i := 0; i < 32; i++ {
x, y := input[i], input[63-i]
temp[i] = x + y
temp[i+32] = (x - y) / dct64[i]
}
forwardTransformStatic32(temp[:32])
forwardTransformStatic32(temp[32:])
for i := 0; i < 32-1; i++ {
input[i*2+0] = temp[i]
input[i*2+1] = temp[i+32] + temp[i+32+1]
}
input[62], input[63] = temp[31], temp[63]
}
func forwardTransformStatic32(input []float64) {
var temp [32]float64
for i := 0; i < 16; i++ {
x, y := input[i], input[31-i]
temp[i] = x + y
temp[i+16] = (x - y) / dct32[i]
}
forwardTransformStatic16(temp[:16])
forwardTransformStatic16(temp[16:])
for i := 0; i < 16-1; i++ {
input[i*2+0] = temp[i]
input[i*2+1] = temp[i+16] + temp[i+16+1]
}
input[30], input[31] = temp[15], temp[31]
}
func forwardTransformStatic16(input []float64) {
var temp [16]float64
for i := 0; i < 8; i++ {
x, y := input[i], input[15-i]
temp[i] = x + y
temp[i+8] = (x - y) / dct16[i]
}
forwardTransformStatic8(temp[:8])
forwardTransformStatic8(temp[8:])
for i := 0; i < 8-1; i++ {
input[i*2+0] = temp[i]
input[i*2+1] = temp[i+8] + temp[i+8+1]
}
input[14], input[15] = temp[7], temp[15]
}
func forwardTransformStatic8(input []float64) {
var temp [8]float64
x0, y0 := input[0], input[7]
x1, y1 := input[1], input[6]
x2, y2 := input[2], input[5]
x3, y3 := input[3], input[4]
temp[0] = x0 + y0
temp[1] = x1 + y1
temp[2] = x2 + y2
temp[3] = x3 + y3
temp[4] = (x0 - y0) / dct8[0]
temp[5] = (x1 - y1) / dct8[1]
temp[6] = (x2 - y2) / dct8[2]
temp[7] = (x3 - y3) / dct8[3]
forwardTransformStatic4(temp[:4])
forwardTransformStatic4(temp[4:])
input[0] = temp[0]
input[1] = temp[4] + temp[5]
input[2] = temp[1]
input[3] = temp[5] + temp[6]
input[4] = temp[2]
input[5] = temp[6] + temp[7]
input[6] = temp[3]
input[7] = temp[7]
}
func forwardTransformStatic4(input []float64) {
var (
t0, t1, t2, t3 float64
)
x0, y0 := input[0], input[3]
x1, y1 := input[1], input[2]
t0 = x0 + y0
t1 = x1 + y1
t2 = (x0 - y0) / dct4[0]
t3 = (x1 - y1) / dct4[1]
x, y := t0, t1
t0 += t1
t1 = (x - y) / dct2[0]
x, y = t2, t3
t2 += t3
t3 = (x - y) / dct2[0]
input[0] = t0
input[1] = t2 + t3
input[2] = t1
input[3] = t3
}
func init() {
// dct256
for i := 0; i < 128; i++ {
dct256[i] = (math.Cos((float64(i)+0.5)*math.Pi/256) * 2)
}
// dct128
for i := 0; i < 64; i++ {
dct128[i] = (math.Cos((float64(i)+0.5)*math.Pi/128) * 2)
}
}
// Static DCT Tables
var (
dct256 = [128]float64{}
dct128 = [64]float64{}
dct64 = [32]float64{
(math.Cos((float64(0)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(1)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(2)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(3)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(4)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(5)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(6)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(7)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(8)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(9)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(10)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(11)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(12)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(13)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(14)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(15)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(16)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(17)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(18)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(19)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(20)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(21)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(22)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(23)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(24)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(25)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(26)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(27)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(28)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(29)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(30)+0.5)*math.Pi/64) * 2),
(math.Cos((float64(31)+0.5)*math.Pi/64) * 2),
}
dct32 = [16]float64{
(math.Cos((float64(0)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(1)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(2)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(3)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(4)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(5)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(6)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(7)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(8)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(9)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(10)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(11)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(12)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(13)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(14)+0.5)*math.Pi/32) * 2),
(math.Cos((float64(15)+0.5)*math.Pi/32) * 2),
}
dct16 = [8]float64{
(math.Cos((float64(0)+0.5)*math.Pi/16) * 2),
(math.Cos((float64(1)+0.5)*math.Pi/16) * 2),
(math.Cos((float64(2)+0.5)*math.Pi/16) * 2),
(math.Cos((float64(3)+0.5)*math.Pi/16) * 2),
(math.Cos((float64(4)+0.5)*math.Pi/16) * 2),
(math.Cos((float64(5)+0.5)*math.Pi/16) * 2),
(math.Cos((float64(6)+0.5)*math.Pi/16) * 2),
(math.Cos((float64(7)+0.5)*math.Pi/16) * 2),
}
dct8 = [4]float64{
(math.Cos((float64(0)+0.5)*math.Pi/8) * 2),
(math.Cos((float64(1)+0.5)*math.Pi/8) * 2),
(math.Cos((float64(2)+0.5)*math.Pi/8) * 2),
(math.Cos((float64(3)+0.5)*math.Pi/8) * 2),
}
dct4 = [2]float64{
(math.Cos((float64(0)+0.5)*math.Pi/4) * 2),
(math.Cos((float64(1)+0.5)*math.Pi/4) * 2),
}
dct2 = [1]float64{
(math.Cos((float64(0)+0.5)*math.Pi/2) * 2),
}
)