Video magnification technique based on a new orthogonal complex wavelet Decomposition

Abstract

Magnifying micro movements of natural videos that are undetectable by human eye, has recently received considerable interests, due to its impact in numerous applications. In this paper, we use Dual Tree Complex Wavelet Transform DT-CWT, to analyze video in order to detect and magnify micro movements to make them visible. We use DT-CWT, due to its excellent edge preserving and nearly shift invariant features. We modify the phases of the CWT wavelet coefficients of successive video frames, in order to detect any minor change in object's spatial position. The paper starts by presenting a simple technique to design orthogonal filters that construct this CWT system. Next, it is shown how to modify the phase differences between the CWT coefficients of an arbitrary frame and a reference one, resulting in image spatial magnification. This in turn, makes these micro movements seen and observable. Several simulations are given, for several video sequences, to show that the proposed technique competes very well with the existing micro magnification approaches, as it manages to yield superior video quality in far less computation time.