goimagehash/transforms/dct.go
Dong-hee Na 14aa1e136f
dct: Improve DCT1D to O(nlogn) algorithm (#29)
* hashcompute_test: Add benchmark

* dct: Improve DCT1D to O(nlogn) algorithm

AS-IS:
BenchmarkPerceptionHash-8  500  2893930 ns/op  456698 B/op  4455 allocs/op

TO-BE:
BenchmarkPerceptionHash-8  2000  890306 ns/op  456382 B/op  4455 allocs/op

reference: DCT type II, unscaled. Algorithm by Byeong Gi Lee, 1984.
2019-03-19 13:52:44 +09:00

76 lines
1.6 KiB
Go

// Copyright 2017 The goimagehash Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
package transforms
import (
"math"
"sync"
)
// DCT1D function returns result of DCT-II.
// DCT type II, unscaled. Algorithm by Byeong Gi Lee, 1984.
func DCT1D(input []float64) []float64 {
temp := make([]float64, len(input))
forwardTransform(input, temp, len(input))
return input
}
func forwardTransform(input, temp []float64, Len int) {
if Len == 1 {
return
}
halfLen := Len / 2
for i := 0; i < halfLen; i++ {
x, y := input[i], input[Len-1-i]
temp[i] = x + y
temp[i+halfLen] = (x - y) / (math.Cos((float64(i)+0.5)*math.Pi/float64(Len)) * 2)
}
forwardTransform(temp, input, halfLen)
forwardTransform(temp[halfLen:], input, halfLen)
for i := 0; i < halfLen-1; i++ {
input[i*2+0] = temp[i]
input[i*2+1] = temp[i+halfLen] + temp[i+halfLen+1]
}
input[Len-2], input[Len-1] = temp[halfLen-1], temp[Len-1]
}
// DCT2D function returns a result of DCT2D by using the seperable property.
func DCT2D(input [][]float64, w int, h int) [][]float64 {
output := make([][]float64, h)
for i := range output {
output[i] = make([]float64, w)
}
wg := new(sync.WaitGroup)
for i := 0; i < h; i++ {
wg.Add(1)
go func(i int) {
cols := DCT1D(input[i])
output[i] = cols
wg.Done()
}(i)
}
wg.Wait()
for i := 0; i < w; i++ {
wg.Add(1)
in := make([]float64, h)
go func(i int) {
for j := 0; j < h; j++ {
in[j] = output[j][i]
}
rows := DCT1D(in)
for j := 0; j < len(rows); j++ {
output[j][i] = rows[j]
}
wg.Done()
}(i)
}
wg.Wait()
return output
}