Blur detection using opencv

1. How to detect blurry image Python?
2. How do you detect blur?
3. How do I blur an image on cv2?
4. How do I create a motion blur in OpenCV?

How to detect blurry image Python?

This method is fast, simple, and easy to apply — we simply convolve our input image with the Laplacian operator and compute the variance. If the variance falls below a predefined threshold, we mark the image as “blurry”.

How do you detect blur?

The easiest way to detect if an image is blurry or not is to look at the strength of the high frequency content. This can be done with a simple gradient of gaussian filter or a laplacian filter. Although this method is extremely easy to implement, it is not very robust.

How do I blur an image on cv2?

To average blur an image, we use the cv2. blur function. This function requires two arguments: the image we want to blur and the size of the kernel. As Lines 22-24 show, we blur our image with increasing sizes kernels.

How do I create a motion blur in OpenCV?

The greater the size of the filter, the greater will be the motion blur effect. Further, the direction of 1's across the filter grid is the direction of the desired motion. To customize a motion blur in a specific vector direction, e.g. diagonally, simply place the 1's along the vector to create the filter.