APPLICATION OF DEBLURGAN DEEP LEARNING IN DIGITAL IMAGE DE-BLUR

Abstract

Deep learning is a part of machine learning. Machine learning is a general term that refers to methods and programs that make computers smarter, and creating artificial intelligence (AI). Image de-blur that are blurred due to motion. Building on the significant progress recently made in the areas related to image super-resolution and remove redundant details in digital photos remove excess detail in the image  by applying Generative Adversarial Networks (GANs). This paper presents deblurGAN deep learning technique - an approach based on Generative Adversarial Networks and multi-component loss function applied to the problem of de-blurring digital images that are blurred due to motion.