块运动估计的研究进展

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。

A Survey of Block-based Motion Estimation

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.