Magnification of Video Signals of Engineering and Medical Applications
Magnifying micro movements from natural video has recently been investigated by several Computer Vision and Image Processing researchers, due to its impact in numerous applications. In this paper we analyze video signals and try to magnify micro movements/vibrations to make them visible. These micro movements are typically undetectable and cannot be seen by basic human vision. We utilize Complex Wavelets to analyze sequential frames and detect any minor change in object's spatial position. We magnify some specific complex wavelet frequency bands by a multiplication factor and reconstruct back the video signal after some manipulation and modification to make these micro movements seen and observable. We compare our work with recent techniques in micro motion magnification (Freeman et. and try to show the merits of each technique. We finally apply the proposed technique of micro motion magnification on medical videos to disease diagnosis.