Blur Detection and Classification using Dnn

Abstract

The main goal of blur detection and classification of images using DNN with tensorflow and Keras network. It is to detect and classify an image with natural blur, artificial blur and distorted. As this paper has been a survey and an algorithm has been proposed and implemented, so has to detect and classify accordingly. The proposed algorithm has been implemented and its accuracy has been increased as compared to the existing model of classifying images.