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The signal image and video processing program explores engineering issues related to the modelling of signals starting from the physics of the problem, developing and evaluating algorithms for extracting the necessary information from the signal, and the implementation of these algorithms on electronic and opto-electronic systems. Specific research areas include filter design, fast transforms, adaptive filters, spectrum estimation and modelling, sensor array processing, image processing, motion estimation from images, and the implementation of signal processing algorithms using appropriate technologies with applications in sonar, radar, speech, geophysics, computer-aided tomography, image restoration, robotic vision, and pattern recognition, video processing and tracking. This project perform a way for video processing using two methods which are ( Eulerian and lagrangian methods ) for revealing changes in details that we cannot see with the naked eye.