Improved image stabilization method based on the hilbert-huang transform

In this paper, DIS technique is demonstrated. DIS is projected to stably eliminate the nonessential shaking phenomena in the image sequences captured by cameras without the influence caused by moving object in the image or intentional motion. Local Motion Vector estimation method is used Sum Of absolute difference (SAD) technique. Local motion vectors (LMV) of an image sequence are calculated. Image sequence of LMV is used for DIS Method, which is based on the Hilbert–Huang transform (HHT) is projected. The HHT has been successfully employed in applications for disaggregating signals into smaller portions with specific features (e.g., biomedical applications). For DIS, local motion vectors of an image sequence are measured, and they are controlled by the HHT in order to express both signals. The original signal is divided into a number of waveforms, called intrinsic mode functions (IMFs), using the process of empirical mode decomposition. Hilbert transform is useful to each IMF so that the energy content could be chosen. The real Signal is divided into a number of waveforms, called intrinsic mode functions (IMFs), using the process of empirical mode decomposition.