Abstract: A method and a system for digital image stabilization are provided for a digital image sequence. The present method calculates local motion vectors between two adjacent images by an interlaced Gray-coded bit-plane matching. An appropriate global motion vector is obtained by weighted accumulation of all local motion vectors. Finally, an accumulated motion vector is obtained by the global motion vector so as to process a motion correction on the digital image sequence and produce a stabile output image.

Abstract: A method and a system for digital image stabilization are provided for a digital image sequence. The present method calculates local motion vectors between two adjacent images by an interlaced Gray-coded bit-plane matching. An appropriate global motion vector is obtained by weighted accumulation of all local motion vectors. Finally, an accumulated motion vector is obtained by the global motion vector so as to process a motion correction on the digital image sequence and produce a stabile output image.

Abstract: A block-based motion-compensated frame interpolation method and apparatus using a block-based video coder operating in low bit rates. Smooth movement of objects between video frames can be obtained without the complexity of pixel-wise interpolation motion estimation that is present in standard motion-compensated frame interpolation (MCI). An additional motion search for interpolating all of the individual pixel trajectories is not required because the interpolation uses block-based motion vector information from a standard codec such as H.26x/MPEG. Video quality is improved by increasing smoothness and the frame rate is increased without a substantial increase in the computational complexity. The proposed block-based MCI method maps from block-wise motion to pixel-wise motion in a motion vector mapping unit.