Performance Evaluation of Hht and Low Pass Fir Filter for Image Stabilization Using Vhdl

Abstract

The Digital Image Stabilization(DIS) is the process of removing the unwanted motion effects of a moving camera to produce a compensated image sequence by using image processing techniques. A technique for Digital Image Stabilization based on the Hilbert–Huang Transform (HHT) and low pass Frequency Impulse Response(FIR) filter has been used in this work. The method exploits a fundamental difference between the intentional(low frequency components) and the jitter motion (high frequency components).Initially local motion vectors of an image sequence are calculated and is then divided into a number of waveforms, called Intrinsic Mode Functions (IMFs), using the process of Empirical Mode Decomposition. Hilbert transform and FIR filter coefficients are applied to each IMF so that the energy content could be designated. Based on the basic features of the unwanted shaking phenomena (high frequencies and small power contents), intentional and jitter motions are determined, and thus, motion compensation is applied in order to eliminate possible fluctuations and produce an image sequence with smoother transitions. The Hilbert transform and FIR filter removes high frequency unwanted motion. The jitter represented in the simulation result gives that how much the image sequence should be adjusted to get stabilized image. When the image stabilization is done using FIR filter the power has been reduced.

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Cite this paper

@inproceedings{Krishnan2015PerformanceEO, title={Performance Evaluation of Hht and Low Pass Fir Filter for Image Stabilization Using Vhdl}, author={J. Krishnan}, year={2015} }