The ability to autonomously enhance low-quality or corrupted streaming video data is essential in a number of important civilian and defense scenarios. Applications include visual surveillance, motion picture restoration, and remote control of unmanned aerial vehicles. We have developed a prototype of RAVE: real-time autonomous video enhancement system. It consists of a suite of video artifact detection algorithms and corresponding correction algorithms. The system is autonomously controlled by an intelligent software agent. Our prototype has been successfully validated on several video sequences from different application domains and is being matured into a fully-functional, real-time embedded system.