Blur is a prevalent phenomenon that impacts both images and videos, posing significant hurdles for computer vision systems. Blur can stem from various sources such as motion, focus inaccuracies, or other contributing factors. Regardless of its origin, it severely impedes the accurate interpretation and in-depth analysis of visual data. In the domain of computer vision, the ability to glean valuable and meaningful information from blurred images is of utmost significance for a wide array of applications. These applications range from object detection and image recognition to autonomous navigation.
