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tone.py
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tone.py
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import cv2
import numpy as np
import math
from LDR import LDR
def transferTone(img):
ho = np.zeros( 256 )
po = np.zeros( 256 )
for i in range(256 ):
po[i] = np.sum(img == i)
po = po / np.sum(po)
#caculate original cumulative histogram
ho[0] = po[0]
for i in range(1,256):
ho[i] = ho[i - 1] + po[i]
#use parameter from paper.
omiga1 = 76
omiga2 = 22
omiga3 = 2
p1 = lambda x : (1 / 9.0) * np.exp(-(255 - x) / 9.0)
p2 = lambda x : (1.0 / (225 - 105)) * (x >= 105 and x <= 225)
p3 = lambda x : (1.0 / np.sqrt(2 * math.pi *11) ) * np.exp(-((x - 90) ** 2) / float((2 * (11 **2))))
p = lambda x : (omiga1 * p1(x) + omiga2 * p2(x) + omiga3 * p3(x)) * 0.01
prob = np.zeros(256)
total = 0
for i in range(256):
prob[i] = p(i)
total = total + prob[i]
prob = prob / total
#caculate new cumulative histogram
histo = np.zeros(256)
histo[0] = prob[0]
for i in range(1, 256):
histo[i] = histo[i - 1] + prob[i]
Iadjusted = np.zeros((img.shape[0], img.shape[1]))
for x in range(img.shape[0]):
for y in range(img.shape[1]):
histogram_value = ho[img[x,y]]
i = np.argmin(np.absolute(histo - histogram_value))
Iadjusted[x, y] = i
Iadjusted = np.uint8(Iadjusted)
cv2.imshow('adjust tone', Iadjusted)
cv2.waitKey(0)
J = Iadjusted
J = cv2.blur(Iadjusted, (3, 3))
cv2.imshow('blurred adjust tone', J)
cv2.waitKey(1)
return J
def LDR_single(img,n,output_path):
Interval = 250.0/n
img = np.float32(img)
img = np.uint8(img/Interval)
img = np.clip(img,0,n-1)
for i in range (n):
mask = (img-i == 0)
tone = np.uint8(i*Interval*mask + (1-mask)*255)
cv2.imwrite(output_path + "/tone{}.png".format(i),tone)
# cv2.imwrite("D:/ECCV2020/input/lilianjie/eeee.png",eeee)
return
def LDR_single_add(img,n,output_path):
Interval = 250.0/n
img = np.float32(img)
img = np.uint8(img/Interval)
img = np.clip(img,0,n-1)
# img = np.float32(img)
# eeee = img*0
mask_add = img*0
for i in range (n):
mask = (img-i == 0)
mask_add += mask
cv2.imwrite(output_path +"/mask/mask{}.png".format(i),np.uint8(mask_add*255))
tone = np.uint8((i+0.5)*Interval*mask_add + (1-mask_add)*255)
# cv2.imshow('tone{}'.format(i), tone)
# cv2.waitKey(0)
cv2.imwrite(output_path +"/mask/tone_cumulate{}.png".format(i),tone)
# cv2.imwrite("D:/ECCV2020/input/lilianjie/eeee.png",eeee)
return
# def LDR_single_add(img,n1,n2,output_path):
# Interval = 250.0/n1
# img = np.float32(img)
# img = np.uint8(img/Interval)
# # img = np.clip(img,0,n1-1)
# # img = np.float32(img)
# # eeee = img*0
# for i in range (n1):
# if i <n2:
# mask_add = (img-i == 0)
# else :
# mask_add = img*0
# for j in range(n2):
# mask = (img-i-j == 0)
# mask_add += mask
# cv2.imwrite(output_path +"/mask/mask{}.png".format(i),np.uint8(mask_add*255))
# tone = np.uint8((i)*Interval*mask_add + (1-mask_add)*255)
# # cv2.imshow('tone{}'.format(i), tone)
# # cv2.waitKey(0)
# cv2.imwrite(output_path +"/mask/tone_cumulate{}.png".format(i),tone)
# # cv2.imwrite("D:/ECCV2020/input/lilianjie/eeee.png",eeee)
# return
if __name__ == '__main__':
img_path = './input/jiangwen/MORPH_OPEN.png'
img = cv2.imread(img_path, cv2.IMREAD_GRAYSCALE)
# img = transferTone(img)
# cv2.imwrite("./input/jiangwen/transferTone.png",img)
LDR_single(img,10)
LDR_single_add(img,10)
print("done")