A ROBUST FRAMEWORK FOR MOTION BLUR DETECTION AND REMOVAL IN DIGITAL IMAGES

Abstract

The majority of recent research in image processing has focused on correcting image distortions. The increasing relevance of image processing prompted the development of this novel concept. By employing these methods, haze can be located and eliminated. Among their many other capabilities is the ability to enhance and restore photos. Lens aberrations, out-of-focus blur, and moving subjects are a few of the many potential sources of blurry photographs. You can get all the information you need regarding recent advances in detecting and correcting motion distortion from this article. Using a Convolutional Neural Network and a Generative Adversarial Network (GAN), this study introduces a novel approach to detecting and repairing motion shift, hence reducing its impacts.