Multi-1D Block Matching Algorithm Based Motion Estimation Processor Using Mixed-Signal Approach

Abstract

In this paper, we propose a Mixed Signal Parallel Multi 1Dimensional Block Matching Algorithm (MSPM-1D-BMA) based motion estimation (ME) processor. In contrast to the typical 2Dimensional full search block matching algorithm (2DFSBMA), the MSPM-1D-BMA based ME processor will greatly reduce the number of data movements in between memories. We employ a voting algorithm in the proposed ME processor to improve the accuracy of motion vector (MV) estimation. We have demonstrated that the MV estimation accuracy achieved by the proposed ME processor is much better than the existing fast block matching algorithms and is close to 2DFSBMA. We also demonstrated that the speed of the proposed ME processor approaches two times as that of the mixed signal 2DFSBMA based ME processor.