Rapid Super-sampling of Multi-frame Sequences for Improved Identification of Lethal Objects

Research Support Instruments Inc. (RSI) proposes to develop a new multi-frame processing technique that allows fast and effective super-sampling of the scene. Each frame of the imaging sequence is up-sampled to a higher image size. Then, without realignment, the frames are averaged together. This produces a single image that has complicated motion blur embedded in it. This motion blur is removed using a novel blind deconvolution algorithm called the Self-deconvolving Data Reconstruction Algorithm. This process greatly reduces the computational needs usually associated with super-sampling but removing the requirement to measure alignment errors between each frame before averaging.