Publication Date: 2021/02/27
Abstract: Image blur detection and removal have been one of the major topics of research in image processing in the recent years. These blur detection and removal algorithms have many real world applications including image restoration and image enhancement. Image blur can include motion blur and out-of-focus blur or blurring due to lens imperfections. This paper covers an overview of recent methods and advancements made in the fields of motion blur detection as well as motion blur removal. This paper also proposes an approach for motion blur detection and removal involving Convolutional Neural Network(CNN) and Generative Adversarial Network(GAN).
Keywords: Motion Blur, Out-of-Focus Blur Detection, Blur Removal, Image Restoration
DOI: No DOI Available
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT21FEB187_(1).pdf
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