块运动估计的研究进展  

A Survey of Block-based Motion Estimation

作　　者：禹晶[1] 苏开娜[1] 

机构地区：[1]北京工业大学计算机学院,北京100022

出　　处：《中国图象图形学报》2007年第12期2031-2041,共11页Journal of Image and Graphics

基　　金：北京市自然科学基金项目(4031004);北京市教委科技发展计划项目(km200310005006)

摘　　要：运动估计是根据视频序列中时间上相关的信息估计场景或目标的2维运动向量场的过程。运动估计在超分辨率图像复原中的作用是把所有低分辨率观测帧的像素映射到参考帧的相应位置。精确的运动估计是超分辨率图像复原的关键。基于块的模型是超分辨率图像复原中常用的运动估计方法。介绍了块运动估计的概念,概述了4类快速块运动估计的方法,详细描述了第1类方法中几种主要算法的搜索过程,并将多种快速块匹配算法进行了总结比较。Motion estimation refers to estimating 2D motion vector field of the scene or object according to temporal information redundancy in a clipped video. It plays a key role in the super resolution image restoration technique, which maps pixels of all low resolution observations onto corresponding pixels in the reference frame. So its accuracy is highly required. Block-based motion estimation is widely used in super resolution image restoration. This paper introduces the model of block-based motion estimation, summarizes four categories of fast motion estimation methods, describes in detail the search process of several influential algorithms belonging to the first category, and then compares several fast block-matching algorithms.

关 键 词：超分辨率图像复原 运动估计 块匹配算法 搜索模式 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]