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implemented Frequency Domain Image Blur Measure (review required)

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This commit is contained in:
Kjistóf 2018-01-01 21:49:00 +01:00
parent 9c3b03c845
commit 50d022380b
1 changed files with 13 additions and 3 deletions
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imgrate.py
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@ -1,11 +1,20 @@
#!/usr/bin/env python3 #!/usr/bin/env python3
import cv2 import cv2
import numpy as np
from argparse import ArgumentParser from argparse import ArgumentParser
def laplacian_variance(image): def laplacian_variance(image):
grayscale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) return cv2.Laplacian(image, cv2.CV_64F).var()
return cv2.Laplacian(grayscale, cv2.CV_64F).var()
def fdibm(image):
F = np.fft.fft2(image)
Fcentered = np.fft.fftshift(F)
Fabs = np.abs(Fcentered)
Fmax = Fabs.max()
Th = np.count_nonzero(Fabs > Fmax/1000)
return Th / (F.shape[0] * F.shape[1])
if __name__ == '__main__': if __name__ == '__main__':
@ -14,5 +23,6 @@ if __name__ == '__main__':
args = ap.parse_args() args = ap.parse_args()
image = cv2.imread(args.images[0]) image = cv2.imread(args.images[0])
grayscale = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
print(laplacian_variance(image)) print(fdibm(grayscale))