I. Introduction
Motion blur is a common occurrence in scenarios where there is relative motion between the camera and targets during exposure. Most machine learning approaches are trained and tested on high quality image datasets, thus images affected by motion blur are sure to impact the classification accuracy of a given machine learning approach. In settings where we might be interested in identifying of images affected by blur, it is common to first deblur or enhance the image quality before classifying an image.