Digital Image Stabilization by Adaptive Phase Correlation Motion Vectors Filtering

Digital Image Stabilization by Adaptive Phase Correlation Motion Vectors Filtering

 Bibhuti Bikramaditya ¹, Ohyun Kwon^1,2, Joonki Paik ¹

¹Image Processing and Intelligent Systems Laboratory, Department of Image Engineering

²Graduate School of Advanced Imaging Science, Multimedia, and Film

³Chung-Ang University, 221 Huksuk-Dong, Tongjak-Ku, Seoul

ABSTRACT This paper proposes digital image stabilization with sub-image novel phase correlation based global motion estimation and maximum peak filtering based motion correction. Global motion is estimated from the local motion of four sub-images each of which is detected using phase correlation (PC) based motion estimation. The correlation surface using Phase correlation techniques determine local motion vector (LMV) and most peak amplitude from block of LMV decides its global motion vector (GMV), thereby Accumulating motion vector (AMV) for panning. The proposed algorithm can make a robust digital image stabilization when camera affected by vibration or unwanted movement. Experimental results show that the proposed digital image stabilization algorithm can efficiently remove the unwanted displacement.

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