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localized-video-blur-identification's Introduction

Localized video blur detection


implemented technique

  1. FFT (fast fourier transform)
  2. Laplase Kernal trick

Video Blur Detection This Python script uses OpenCV to analyze a video and detect blurry regions within specified divisions of the video frame. It can be useful for tasks like identifying areas of low image quality in surveillance footage or other video sources.

Prerequisites Before running the script, make sure you have the following prerequisites installed:

Python OpenCV (cv2) NumPy You can install OpenCV and NumPy using pip:

Video blur detection along with segmentation and processing the image by dividing it into mutiple partition and then processing each frame"# image-multisegmentation-blur-detection"

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