ANALYSIS OF ENHANCEMENT OF COMPRESSED VIDEO QUALITY USING GENERATIVE ADVERSARIAL NETWORKS (GAN): A SURVEY

Koustav Guha, Soumyajit Chakraborty

Abstract


In commercial video streaming services, the video compression uses lossy algorithms in such a manner it lowers the bandwidth while transmitting them. As we know GAN can obtain very high quality images in the enhancement tasks of images but it involves large generators that are very costly and also takes a lot of processing time. Our paper will provide an architecture that will do the same task at a much lower price.


Keywords


High Resolution, Low Resolution, Single Image Super Resolution, Generative Adversarial Networks, Artifacts , Convolutional Neural Networks

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