Event-based imagers are particularly interesting for capturing stand-off measurements of rapidly evolving physical phenomena and rapid transient events. Engineering applications such as structural dynamics/mechanics, rotating machinery monitoring, manufacturing in-process monitoring, transportation monitoring, smart cities, and robotics. Many engineering applications of imagers require exploiting the sub-pixel measurement properties of imagers for tracking motion and deformation at high spatial resolution. For scenes with dynamic elements, the phenomenon of motion blur becomes apparent when objects move over multiple pixels during the exposure time of a conventional camera. For event-based imager sensors that report on changes in illumination in a scene, motion blur is not present in the event data in a conventional sense. However, it is often necessary to visualize event data in a conventional frame-based video format for display on a conventional monitoring. Alternatively, there is interest in feeding event data into a conventional frame-based computer vision pipeline for downstream analysis. It is also desirable to perform data fusion between images captured by a conventional camera and events in a physically-motivated manner. In these cases, a technique to introduce motion blur phenomena into the frames in a physically principled manner is desirable. This work introduces the use of a digital coded exposure combined with irradiance interpolation at a pixel to generate frames that exhibit physically-motivated motion blur phenomena.