forked from cruxopen/openISP
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathblc.py
65 lines (60 loc) · 2.3 KB
/
blc.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
#!/usr/bin/python
import numpy as np
class BLC:
'Black Level Compensation'
def __init__(self, img, parameter, bayer_pattern, clip):
self.img = img
self.parameter = parameter
self.bayer_pattern = bayer_pattern
self.clip = clip
def clipping(self):
np.clip(self.img, 0, self.clip, out=self.img)
return self.img
def execute(self):
bl_r = self.parameter[0]
bl_gr = self.parameter[1]
bl_gb = self.parameter[2]
bl_b = self.parameter[3]
alpha = self.parameter[4]
beta = self.parameter[5]
raw_h = self.img.shape[0]
raw_w = self.img.shape[1]
blc_img = np.empty((raw_h,raw_w), np.int16)
if self.bayer_pattern == 'rggb':
r = self.img[::2, ::2] + bl_r
b = self.img[1::2, 1::2] + bl_b
gr = self.img[::2, 1::2] + bl_gr + alpha * r / 256
gb = self.img[1::2, ::2] + bl_gb + beta * b / 256
blc_img[::2, ::2] = r
blc_img[::2, 1::2] = gr
blc_img[1::2, ::2] = gb
blc_img[1::2, 1::2] = b
elif self.bayer_pattern == 'bggr':
b = self.img[::2, ::2] + bl_b
r = self.img[1::2, 1::2] + bl_r
gb = self.img[::2, 1::2] + bl_gb + beta * b / 256
gr = self.img[1::2, ::2] + bl_gr + alpha * r / 256
blc_img[::2, ::2] = b
blc_img[::2, 1::2] = gb
blc_img[1::2, ::2] = gr
blc_img[1::2, 1::2] = r
elif self.bayer_pattern == 'gbrg':
b = self.img[::2, 1::2] + bl_b
r = self.img[1::2, ::2] + bl_r
gb = self.img[::2, ::2] + bl_gb + beta * b / 256
gr = self.img[1::2, 1::2] + bl_gr + alpha * r / 256
blc_img[::2, ::2] = gb
blc_img[::2, 1::2] = b
blc_img[1::2, ::2] = r
blc_img[1::2, 1::2] = gr
elif self.bayer_pattern == 'grbg':
r = self.img[::2, 1::2] + bl_r
b = self.img[1::2, ::2] + bl_b
gr = self.img[::2, ::2] + bl_gr + alpha * r / 256
gb = self.img[1::2, 1::2] + bl_gb + beta * b / 256
blc_img[::2, ::2] = gr
blc_img[::2, 1::2] = r
blc_img[1::2, ::2] = b
blc_img[1::2, 1::2] = gb
self.img = blc_img
return self.clipping()