1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
|
package imaging
import (
"image"
"image/color"
"math"
)
// Grayscale produces a grayscale version of the image.
func Grayscale(img image.Image) *image.NRGBA {
src := newScanner(img)
dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
parallel(0, src.h, func(ys <-chan int) {
for y := range ys {
i := y * dst.Stride
src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
for x := 0; x < src.w; x++ {
d := dst.Pix[i : i+3 : i+3]
r := d[0]
g := d[1]
b := d[2]
f := 0.299*float64(r) + 0.587*float64(g) + 0.114*float64(b)
y := uint8(f + 0.5)
d[0] = y
d[1] = y
d[2] = y
i += 4
}
}
})
return dst
}
// Invert produces an inverted (negated) version of the image.
func Invert(img image.Image) *image.NRGBA {
src := newScanner(img)
dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
parallel(0, src.h, func(ys <-chan int) {
for y := range ys {
i := y * dst.Stride
src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
for x := 0; x < src.w; x++ {
d := dst.Pix[i : i+3 : i+3]
d[0] = 255 - d[0]
d[1] = 255 - d[1]
d[2] = 255 - d[2]
i += 4
}
}
})
return dst
}
// AdjustSaturation changes the saturation of the image using the percentage parameter and returns the adjusted image.
// The percentage must be in the range (-100, 100).
// The percentage = 0 gives the original image.
// The percentage = 100 gives the image with the saturation value doubled for each pixel.
// The percentage = -100 gives the image with the saturation value zeroed for each pixel (grayscale).
//
// Examples:
// dstImage = imaging.AdjustSaturation(srcImage, 25) // Increase image saturation by 25%.
// dstImage = imaging.AdjustSaturation(srcImage, -10) // Decrease image saturation by 10%.
//
func AdjustSaturation(img image.Image, percentage float64) *image.NRGBA {
percentage = math.Min(math.Max(percentage, -100), 100)
multiplier := 1 + percentage/100
return AdjustFunc(img, func(c color.NRGBA) color.NRGBA {
h, s, l := rgbToHSL(c.R, c.G, c.B)
s *= multiplier
if s > 1 {
s = 1
}
r, g, b := hslToRGB(h, s, l)
return color.NRGBA{r, g, b, c.A}
})
}
// AdjustContrast changes the contrast of the image using the percentage parameter and returns the adjusted image.
// The percentage must be in range (-100, 100). The percentage = 0 gives the original image.
// The percentage = -100 gives solid gray image.
//
// Examples:
//
// dstImage = imaging.AdjustContrast(srcImage, -10) // Decrease image contrast by 10%.
// dstImage = imaging.AdjustContrast(srcImage, 20) // Increase image contrast by 20%.
//
func AdjustContrast(img image.Image, percentage float64) *image.NRGBA {
percentage = math.Min(math.Max(percentage, -100.0), 100.0)
lut := make([]uint8, 256)
v := (100.0 + percentage) / 100.0
for i := 0; i < 256; i++ {
switch {
case 0 <= v && v <= 1:
lut[i] = clamp((0.5 + (float64(i)/255.0-0.5)*v) * 255.0)
case 1 < v && v < 2:
lut[i] = clamp((0.5 + (float64(i)/255.0-0.5)*(1/(2.0-v))) * 255.0)
default:
lut[i] = uint8(float64(i)/255.0+0.5) * 255
}
}
return adjustLUT(img, lut)
}
// AdjustBrightness changes the brightness of the image using the percentage parameter and returns the adjusted image.
// The percentage must be in range (-100, 100). The percentage = 0 gives the original image.
// The percentage = -100 gives solid black image. The percentage = 100 gives solid white image.
//
// Examples:
//
// dstImage = imaging.AdjustBrightness(srcImage, -15) // Decrease image brightness by 15%.
// dstImage = imaging.AdjustBrightness(srcImage, 10) // Increase image brightness by 10%.
//
func AdjustBrightness(img image.Image, percentage float64) *image.NRGBA {
percentage = math.Min(math.Max(percentage, -100.0), 100.0)
lut := make([]uint8, 256)
shift := 255.0 * percentage / 100.0
for i := 0; i < 256; i++ {
lut[i] = clamp(float64(i) + shift)
}
return adjustLUT(img, lut)
}
// AdjustGamma performs a gamma correction on the image and returns the adjusted image.
// Gamma parameter must be positive. Gamma = 1.0 gives the original image.
// Gamma less than 1.0 darkens the image and gamma greater than 1.0 lightens it.
//
// Example:
//
// dstImage = imaging.AdjustGamma(srcImage, 0.7)
//
func AdjustGamma(img image.Image, gamma float64) *image.NRGBA {
e := 1.0 / math.Max(gamma, 0.0001)
lut := make([]uint8, 256)
for i := 0; i < 256; i++ {
lut[i] = clamp(math.Pow(float64(i)/255.0, e) * 255.0)
}
return adjustLUT(img, lut)
}
// AdjustSigmoid changes the contrast of the image using a sigmoidal function and returns the adjusted image.
// It's a non-linear contrast change useful for photo adjustments as it preserves highlight and shadow detail.
// The midpoint parameter is the midpoint of contrast that must be between 0 and 1, typically 0.5.
// The factor parameter indicates how much to increase or decrease the contrast, typically in range (-10, 10).
// If the factor parameter is positive the image contrast is increased otherwise the contrast is decreased.
//
// Examples:
//
// dstImage = imaging.AdjustSigmoid(srcImage, 0.5, 3.0) // Increase the contrast.
// dstImage = imaging.AdjustSigmoid(srcImage, 0.5, -3.0) // Decrease the contrast.
//
func AdjustSigmoid(img image.Image, midpoint, factor float64) *image.NRGBA {
if factor == 0 {
return Clone(img)
}
lut := make([]uint8, 256)
a := math.Min(math.Max(midpoint, 0.0), 1.0)
b := math.Abs(factor)
sig0 := sigmoid(a, b, 0)
sig1 := sigmoid(a, b, 1)
e := 1.0e-6
if factor > 0 {
for i := 0; i < 256; i++ {
x := float64(i) / 255.0
sigX := sigmoid(a, b, x)
f := (sigX - sig0) / (sig1 - sig0)
lut[i] = clamp(f * 255.0)
}
} else {
for i := 0; i < 256; i++ {
x := float64(i) / 255.0
arg := math.Min(math.Max((sig1-sig0)*x+sig0, e), 1.0-e)
f := a - math.Log(1.0/arg-1.0)/b
lut[i] = clamp(f * 255.0)
}
}
return adjustLUT(img, lut)
}
func sigmoid(a, b, x float64) float64 {
return 1 / (1 + math.Exp(b*(a-x)))
}
// adjustLUT applies the given lookup table to the colors of the image.
func adjustLUT(img image.Image, lut []uint8) *image.NRGBA {
src := newScanner(img)
dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
lut = lut[0:256]
parallel(0, src.h, func(ys <-chan int) {
for y := range ys {
i := y * dst.Stride
src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
for x := 0; x < src.w; x++ {
d := dst.Pix[i : i+3 : i+3]
d[0] = lut[d[0]]
d[1] = lut[d[1]]
d[2] = lut[d[2]]
i += 4
}
}
})
return dst
}
// AdjustFunc applies the fn function to each pixel of the img image and returns the adjusted image.
//
// Example:
//
// dstImage = imaging.AdjustFunc(
// srcImage,
// func(c color.NRGBA) color.NRGBA {
// // Shift the red channel by 16.
// r := int(c.R) + 16
// if r > 255 {
// r = 255
// }
// return color.NRGBA{uint8(r), c.G, c.B, c.A}
// }
// )
//
func AdjustFunc(img image.Image, fn func(c color.NRGBA) color.NRGBA) *image.NRGBA {
src := newScanner(img)
dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
parallel(0, src.h, func(ys <-chan int) {
for y := range ys {
i := y * dst.Stride
src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
for x := 0; x < src.w; x++ {
d := dst.Pix[i : i+4 : i+4]
r := d[0]
g := d[1]
b := d[2]
a := d[3]
c := fn(color.NRGBA{r, g, b, a})
d[0] = c.R
d[1] = c.G
d[2] = c.B
d[3] = c.A
i += 4
}
}
})
return dst
}
|
