Digital image stabilizer system based on optical flow technique

• Main Authors: Wehn-Feng Hu, 胡文峰
• Other Authors: Jyh-Yeong Chang
• Format: Others
• Language: en_US
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/06464515489142095748

碩士 === 國立交通大學 === 電機與控制工程系 === 87 === This thesis proposes a digital image sequence stabilization system based on optical flow techniques. The system includes three major modules 1) motion estimation, 2) motion extraction, and 3) motion correction. First, in motion estimation module, we employ the optical flow technique to obtain the local motion vector field. The outputs of optical flow estimation are the velocity vectors corresponding to every pixel in the current image frame. There could be many inaccurate motion estimations in the motion estimation procedure because optical flow techniques are rather noise sensitive. The motion extraction module makes use of a new version of Hough transform, which acquires field motion vector in terms of parameter space of the image field. The motion parameters to be estimated for the current image frame are angular velocity, and horizontal and vertical translational motion relative to the previous frame. Then the motion extraction module plays the role of extracting the most possible motion parameters. The motion estimation module can produce very precise field motion vectors. Finally, the correction module integrates the field motion vectors and performs the de-motion of correcting the residue shake motion, including translation and rotation as well.