中文摘要：

提出一种基于像素特征的运动块补偿算法．该算法充分利用视频图像的亮度特征与运动关系，实现了基于目标亮度特征进行分割运动块．同时针对视频图像目标运动特点，求得相应的运动方程，更加准确的反映了目标物体的真实运动，得到较为真实的运动矢量场．实验结果表明，与传统的快速分类搜索（CFS）、全搜索法（Fs）相比，使用本文算法得到的视频图像帧，具有更加真实的运动矢量场，并且PSNR值相对CFS大约有20dB的提高．

英文摘要：

A motion block compensation algorithm based on characters of pixel is proposed in this paper. A motion region-segmentation which adequately utilizes the relationship with luminance characters and motion properties in the video frames is presented. Meanwhile, according to the characters of motion object in the video frame, the equations of motion are obtained for showing the real motion field. The experimental results show that the image that is estimated by novel algorithm not only has more genuine motion field, but also PSNR has been improved about 20 dB compared with CFS.