Image Restoration Using Deep Convolutional Neural Networks for Network Congestion Control

Network congestion is getting more and more severe day by day with the deployment of Long-Term Evaluation (LTE) and 5G as more users get added to the networks. The issue gets even more severe with the rapid growth of e-Commerce, online banking, and entertainment platforms like Netflix, Amazon Prime, and YouTube that generate a huge amount of traffic worldwide. In this paper, we purposed to address this traffic congestion issue with a hand-held solution. Here we have proposed a method that can be used for network congestion control. Simulation studies demonstrate the reliability and performance of proposed technique that works for 50 percent compression of the transmitted images which can reduce the size of the image by 50 percent by keeping quality of service. The aim is to reduce the network traffic by half in both the transmitter and receiver end.