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一种用于图像超分辨的实时高精度像素内配准方法
引用本文:袁建华,殷学民,邹谋炎.一种用于图像超分辨的实时高精度像素内配准方法[J].电子与信息学报,2007,29(1):47-49.
作者姓名:袁建华  殷学民  邹谋炎
作者单位:1. 中国科学院电子学研究所,北京,100080
2. 中国科学院研究生院,北京,100039
摘    要:在超分辨图像复原处理中,像素内的配准精度、速度是超分辨图像最终实现的实时性和高质量的关键因素。传统的利用泰勒级数展开像素内配准方法实时性较差;分级少的块匹配配准精度相对较低。该文提出一种基于分段双三次多项式拟合的分级块匹配像素内配准技术,在算法复杂度低的同时保证了配准精度,并在文中给出了实验统计结果。

关 键 词:图像处理  超分辨  像素内  配准
文章编号:1009-5896(2007)01-0047-03
收稿时间:2005-04-18
修稿时间:2005-07-28

A Real-Time Sub-pixel Registration Method with High Precision Used for Image Super-Resolution
Yuan Jian-hua,Yin Xue-min,Zou Mou-yan.A Real-Time Sub-pixel Registration Method with High Precision Used for Image Super-Resolution[J].Journal of Electronics & Information Technology,2007,29(1):47-49.
Authors:Yuan Jian-hua  Yin Xue-min  Zou Mou-yan
Affiliation:Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China;Graduate School, Chinese Academy of Sciences, Beijing 100039, China
Abstract:In the research of super-resolution image processing, the precision and speed of the sub-pixel registration are the key factors. It is difficult for the Taylor’s series expansion method to do in real-time, and the hierarchical block-match method with less levels can achieve only a lower precision. The bicubic curve function method with hierarchical block-match drawn in this paper can not only obtain a higher precision, but also be implemented in real-time.
Keywords:Image processing  Super-resolution  Sub-pixel  Registration
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