We propose to develop a digital image processing system for correction of artifacts due to atmospheric turbulence in long-range video. The system will process video in real time and will not require special optics or cameras. In order to achieve the necessary processing throughput, the system will be designed for implementation on an FPGA-based platform. We will evaluate the correction algorithm on data sets consisting of real imagery acquired through atmospheric turbulence and simulated imagery rendered from target and atmospheric models. By comparing the corrected output to the distortion-free simulated imagery, we will be able to quantitatively evaluate algorithmic performance.
