A New Motion Estimation Algorithm Using Kalman Filter for Overlapped Block Motion Compensation
Shu-Chiang Chung, Wei-Han Chang, Chung‐Ming Kuo · 2007
The OBMC motion estimation techniques have been presented not only to improve quality of images but also to reduce blocking artifacts in the block-matching algorithm (BMA). This paper presents a motion estimation algorithm using Kalman filter to further improve the performance of the conventional OBMC motion estimation at a relative low computational cost. The Kalman filter exploits the correlation of block motion to achieve higher precision of motion estimation and compensation. In our algorithm, the Kalman filter is embedded into the optimization process of OBMC by defining a new OBMC criterion. It effectively enhances the PSNR and visual quality and also reduces computational complexity.