-
Notifications
You must be signed in to change notification settings - Fork 1
/
demosaicing.py
221 lines (173 loc) · 8.52 KB
/
demosaicing.py
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
import cv2
import numpy as np
import math
from PIL import Image
from scipy.signal import convolve2d
PIXEL_MAX = 255.0
# Calculate PSNR
def psnr(img1, img2):
mse = np.mean((img1 - img2) ** 2)
if mse == 0:
return 100
return 20 * math.log10(PIXEL_MAX/math.sqrt(mse))
# Calculate SSIM
def matlab_style_gauss2D(shape=(3,3),sigma=0.5):
m,n = [(ss-1.)/2. for ss in shape]
y,x = np.ogrid[-m:m+1,-n:n+1]
h = np.exp( -(x*x + y*y) / (2.*sigma*sigma) )
h[ h < np.finfo(h.dtype).eps*h.max() ] = 0
sumh = h.sum()
if sumh != 0:
h /= sumh
return h
def filter2(x, kernel, mode='same'):
return convolve2d(x, np.rot90(kernel, 2), mode=mode)
def compute_ssim(im1, im2, k1=0.01, k2=0.03, win_size=11, L=255):
if not im1.shape == im2.shape:
raise ValueError("Input Images must have the same dimensions")
if len(im1.shape) > 2:
raise ValueError("Please input the images with 1 channel")
M, N = im1.shape
C1 = (k1*L)**2
C2 = (k2*L)**2
window = matlab_style_gauss2D(shape=(win_size,win_size), sigma=1.5)
window = window/np.sum(np.sum(window))
if im1.dtype == np.uint8:
im1 = np.double(im1)
if im2.dtype == np.uint8:
im2 = np.double(im2)
mu1 = filter2(im1, window, 'valid')
mu2 = filter2(im2, window, 'valid')
mu1_sq = mu1 * mu1
mu2_sq = mu2 * mu2
mu1_mu2 = mu1 * mu2
sigma1_sq = filter2(im1*im1, window, 'valid') - mu1_sq
sigma2_sq = filter2(im2*im2, window, 'valid') - mu2_sq
sigmal2 = filter2(im1*im2, window, 'valid') - mu1_mu2
ssim_map = ((2*mu1_mu2+C1) * (2*sigmal2+C2)) / ((mu1_sq+mu2_sq+C1) * (sigma1_sq+sigma2_sq+C2))
return np.mean(np.mean(ssim_map))
if __name__ == "__main__":
img1 = cv2.imread('pic/Original.png',cv2.IMREAD_GRAYSCALE)
img2 = cv2.imread('pic/Original-min.png',cv2.IMREAD_GRAYSCALE)
img3 = cv2.imread('pic/blur.png',cv2.IMREAD_GRAYSCALE)
img4 = cv2.imread('pic/desaturated.png',cv2.IMREAD_GRAYSCALE)
img5 = cv2.imread('pic/noise.png',cv2.IMREAD_GRAYSCALE)
img6 = cv2.imread('pic/jpgggg.png',cv2.IMREAD_GRAYSCALE)
# PSNR
print("==================================================")
print("NORMAL")
print("==================================================")
print("PSNR:",psnr(img1,img2))
# print("PSNR:",psnr(img1,img3))
# print("PSNR:",psnr(img1,img4))
# print("PSNR:",psnr(img1,img5))
# print("PSNR:",psnr(img1,img6))
# SSIM
print("==================================================")
print("SSIM",compute_ssim(np.array(img1),np.array(img2)))
# print("SSIM",compute_ssim(np.array(img1),np.array(img3)))
# print("SSIM",compute_ssim(np.array(img1),np.array(img4)))
# print("SSIM",compute_ssim(np.array(img1),np.array(img5)))
# print("SSIM",compute_ssim(np.array(img1),np.array(img6)))
print("==================================================")
print("LINEAR for compress / CUBIC for enlarge")
print("==================================================")
print("Before resize:")
print("PSNR:",psnr(img1,img2))
print("SSIM",compute_ssim(np.array(img1),np.array(img2)))
img7 = cv2.resize(img2,None,fx=0.5,fy=0.5,interpolation = cv2.INTER_LINEAR)
img7 = cv2.resize(img7,None,fx=2,fy=2,interpolation = cv2.INTER_CUBIC)
print("After resize:")
print("PSNR:",psnr(img1,img7))
print("SSIM",compute_ssim(np.array(img1),np.array(img7)))
img7 = cv2.resize(img7,None,fx=0.5,fy=0.5,interpolation = cv2.INTER_LINEAR)
img7 = cv2.resize(img7,None,fx=2,fy=2,interpolation = cv2.INTER_CUBIC)
print("After resize2:")
print("PSNR:",psnr(img1,img7))
print("SSIM",compute_ssim(np.array(img1),np.array(img7)))
img7 = cv2.resize(img7,None,fx=0.5,fy=0.5,interpolation = cv2.INTER_LINEAR)
img7 = cv2.resize(img7,None,fx=2,fy=2,interpolation = cv2.INTER_CUBIC)
print("After resize3:")
print("PSNR:",psnr(img1,img7))
print("SSIM",compute_ssim(np.array(img1),np.array(img7)))
# cv2.waitKey()
# cv2.imshow("img1",img1)
# cv2.imshow("img7",img7)
print("==================================================")
print("LINEAR for compress / LINEAR for enlarge")
print("==================================================")
print("Before resize:")
print("PSNR:",psnr(img1,img2))
print("SSIM",compute_ssim(np.array(img1),np.array(img2)))
img7 = cv2.resize(img2,None,fx=0.5,fy=0.5,interpolation = cv2.INTER_LINEAR)
img7 = cv2.resize(img7,None,fx=2,fy=2,interpolation = cv2.INTER_LINEAR)
print("After resize:")
print("PSNR:",psnr(img1,img7))
print("SSIM",compute_ssim(np.array(img1),np.array(img7)))
img7 = cv2.resize(img7,None,fx=0.5,fy=0.5,interpolation = cv2.INTER_LINEAR)
img7 = cv2.resize(img7,None,fx=2,fy=2,interpolation = cv2.INTER_LINEAR)
print("After resize2:")
print("PSNR:",psnr(img1,img7))
print("SSIM",compute_ssim(np.array(img1),np.array(img7)))
img7 = cv2.resize(img7,None,fx=0.5,fy=0.5,interpolation = cv2.INTER_LINEAR)
img7 = cv2.resize(img7,None,fx=2,fy=2,interpolation = cv2.INTER_LINEAR)
print("After resize3:")
print("PSNR:",psnr(img1,img7))
print("SSIM",compute_ssim(np.array(img1),np.array(img7)))
print("==================================================")
print("CUBIC for compress / CUBIC for enlarge")
print("==================================================")
print("Before resize:")
print("PSNR:",psnr(img1,img2))
print("SSIM",compute_ssim(np.array(img1),np.array(img2)))
img7 = cv2.resize(img2,None,fx=0.5,fy=0.5,interpolation = cv2.INTER_CUBIC)
img7 = cv2.resize(img7,None,fx=2,fy=2,interpolation = cv2.INTER_CUBIC)
print("After resize:")
print("PSNR:",psnr(img1,img7))
print("SSIM",compute_ssim(np.array(img1),np.array(img7)))
img7 = cv2.resize(img7,None,fx=0.5,fy=0.5,interpolation = cv2.INTER_CUBIC)
img7 = cv2.resize(img7,None,fx=2,fy=2,interpolation = cv2.INTER_CUBIC)
print("After resize2:")
print("PSNR:",psnr(img1,img7))
print("SSIM",compute_ssim(np.array(img1),np.array(img7)))
img7 = cv2.resize(img7,None,fx=0.5,fy=0.5,interpolation = cv2.INTER_CUBIC)
img7 = cv2.resize(img7,None,fx=2,fy=2,interpolation = cv2.INTER_CUBIC)
print("After resize3:")
print("PSNR:",psnr(img1,img7))
print("SSIM",compute_ssim(np.array(img1),np.array(img7)))
###################################################################################################################
# Use Bicubic and Bilinear as filter to resize Low-Resolution Image
image = Image.open('pic/original.png')
w,h = image.size
image_resize = image.resize((w/2,h/2)) #default
image_resize1 = image.resize((w/2,h/2),Image.BILINEAR)
image_resize2 = image.resize((w/2,h/2),Image.BICUBIC)
image_resize3 = image.resize((w/2,h/2),Image.ANTIALIAS)
image_resize = image.resize((w,h)) #default
image_resize1 = image.resize((w,h),Image.BILINEAR)
image_resize2 = image.resize((w,h),Image.BICUBIC)
image_resize3 = image.resize((w,h),Image.ANTIALIAS)
image = cv2.cvtColor(np.asarray(image) , cv2.COLOR_RGB2BGR)
image_resize = cv2.cvtColor(np.asarray(image_resize) , cv2.COLOR_RGB2BGR)
image_resize1 = cv2.cvtColor(np.asarray(image_resize1) , cv2.COLOR_RGB2BGR)
image_resize2 = cv2.cvtColor(np.asarray(image_resize2) , cv2.COLOR_RGB2BGR)
image_resize3 = cv2.cvtColor(np.asarray(image_resize3) , cv2.COLOR_RGB2BGR)
image = cv2.cvtColor(image,cv2.COLOR_RGB2GRAY)
image_resize = cv2.cvtColor(image_resize,cv2.COLOR_RGB2GRAY)
image_resize1 = cv2.cvtColor(image_resize1,cv2.COLOR_RGB2GRAY)
image_resize2 = cv2.cvtColor(image_resize2,cv2.COLOR_RGB2GRAY)
image_resize3 = cv2.cvtColor(image_resize3,cv2.COLOR_RGB2GRAY)
# PSNR
print("============Bicubic and Bilinear==================")
print("==================================================")
print("PSNR:",psnr(image,image_resize))
print("PSNR:",psnr(image,image_resize1))
print("PSNR:",psnr(image,image_resize2))
print("PSNR:",psnr(image,image_resize3))
# SSIM
print("==================================================")
print("SSIM",compute_ssim(np.array(image),np.array(image_resize)))
print("SSIM",compute_ssim(np.array(image),np.array(image_resize1)))
print("SSIM",compute_ssim(np.array(image),np.array(image_resize2)))
print("SSIM",compute_ssim(np.array(image),np.array(image_resize3)))
# Image.fromarray(np.hstack((np.array(image_resize),np.array(image_resize1),np.array(image_resize2),np.array(image_resize3)))).show()