一种用于图像超分辨的实时高精度像素内配准方法
doi: 10.3724/SP.J.1146.2005.00438
A Real-Time Sub-pixel Registration Method with High Precision Used for Image Super-Resolution
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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。
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关键词:
- 图像处理;超分辨;像素内;配准
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 Taylors 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. -
[1] Tsai R Y and Huang T S. Multi-frame image restoration and registration.In Advcnces in Computer Vision and Image Processing, JAI Press, Greenwich.Ct.1984,Vol.1: 317-339. [2] Lucas B D and Kanade T. An iterative image registration technique with an application to stereo vision. Proceedings of the 1981 DARPA Image Understanding Workshop, April, 1981: 121-130. [3] Irani M and Peleg S. Improving resolution by image registration[J].CVGIP: Graphical Models and Image Processing.1991, 53(3):231- [4] Borman S. Topic in multiframe superresolution restoration. [Doctors Thesis], Stanford University, 2004. [5] Heckbert P S. Fundamentals of texture mapping and image warping. [Masters Thesis], University of California, Berkeley, 1989.
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