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Update ying.py #17

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Update ying.py #17

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8e2c566
Update ying.py
alesspalma Jun 6, 2023
70b5065
Update requirements.txt
alesspalma Jun 6, 2023
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2 changes: 1 addition & 1 deletion requirements.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -3,4 +3,4 @@ matplotlib==3.2.1
numpy==1.18.2
opencv-python==4.2.0.34
scikit-image==0.16.2
scipy==1.2.2
scipy==1.8.1
8 changes: 5 additions & 3 deletions ying.py
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Expand Up @@ -4,6 +4,7 @@
import scipy, scipy.misc, scipy.signal
import cv2
import sys
from PIL import Image

def computeTextureWeights(fin, sigma, sharpness):
dt0_v = np.vstack((np.diff(fin, n=1, axis=0), fin[0,:]-fin[-1,:]))
Expand Down Expand Up @@ -90,7 +91,7 @@ def maxEntropyEnhance(I, isBad, a=-0.3293, b=1.1258):
Y = rgb2gm(tmp)

isBad = isBad * 1
isBad = scipy.misc.imresize(isBad, (50,50), interp='bicubic', mode='F')
isBad = np.array(Image.fromarray(isBad, mode="F").resize((50, 50), Image.BICUBIC))
isBad[isBad<0.5] = 0
isBad[isBad>=0.5] = 1
Y = Y[isBad==1]
Expand All @@ -114,7 +115,8 @@ def Ying_2017_CAIP(img, mu=0.5, a=-0.3293, b=1.1258):

# Weight matrix estimation
t_b = np.max(I, axis=2)
t_our = cv2.resize(tsmooth(scipy.misc.imresize(t_b, 0.5, interp='bicubic', mode='F'), lamda, sigma), (t_b.shape[1], t_b.shape[0]), interpolation=cv2.INTER_AREA)
resized = np.array(Image.fromarray(t_b, mode="F").resize((t_b.shape[1]//2, t_b.shape[0]//2), Image.BICUBIC))
t_our = cv2.resize(tsmooth(resized, lamda, sigma), (t_b.shape[1], t_b.shape[0]), interpolation=cv2.INTER_AREA)

# Apply camera model with k(exposure ratio)
isBad = t_our < 0.5
Expand Down Expand Up @@ -143,4 +145,4 @@ def main():
plt.show()

if __name__ == '__main__':
main()
main()