Detect image blurriness

To detect image blurriness, you can use the Laplacian Variance method. It’s a simple and effective way to measure the sharpness of an image. Here’s a Python example using OpenCV:

Python Code to Detect Image Blurriness

python
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import cv2

def is_blurry(image_path, threshold=100.0):
    image = cv2.imread(image_path)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    laplacian_var = cv2.Laplacian(gray, cv2.CV_64F).var()
    print(f"Laplacian Variance: {laplacian_var}")
    
    if laplacian_var < threshold:
        print("Image is blurry.")
        return True
    else:
        print("Image is sharp.")
        return False

# Example usage
is_blurry("your_image.jpg")

Explanation

• Laplacian detects edges. A sharper image has more edges, leading to a higher variance.

• If the variance is low, the image has fewer edges → it’s likely blurry.

• You can tune the threshold based on your image dataset (commonly between 50–150).

Let me know if you want a version using PIL, TensorFlow, or if you want to upload and check an image here.