Blurry¶

Kevin Walchko

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# reload library
%load_ext autoreload
%autoreload 2

In [3]:

import numpy as np
import cv2
from matplotlib import pyplot as plt

np.set_printoptions(precision=3)
np.set_printoptions(suppress=True)

In [4]:

def blurry(image, threshold=100.0):
    """
    Given an image and threshold, returns if image is blurry and its value
    
    Args:
      image: opencv grayscale image
      threshold: blur threshold value, below this value an image is considered
                 to be blurry
    Return:
      blurry: True/False
      value: numeric value of blurriness
      
    Reference: https://pyimagesearch.com/2015/09/07/blur-detection-with-opencv/
    """
    val = cv2.Laplacian(image, cv2.CV_64F).var()
    val = int(val)
    if val < threshold:
        return True, val
    return False, val

In [5]:

cat = cv2.imread("cat-blurry.webp",0)
plt.imshow(cat, cmap="gray")
plt.axis("off")
plt.title(f"Blurry: {blurry(cat, 300)}");

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cat = cv2.imread("cat-crisp.webp",0)
plt.imshow(cat, cmap="gray")
plt.axis("off")
plt.title(f"Blurry: {blurry(cat, 300)}");

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