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多帧图像的Tikhonov正则化重建算法研究

商俊国 焦斌亮

计算机应用研究2011,Vol.28Issue(2):785-787,791,4.
计算机应用研究2011,Vol.28Issue(2):785-787,791,4.DOI:10.3969/j.issn.1001-3695.2011.02.108

多帧图像的Tikhonov正则化重建算法研究

Research on Tikhonov regularization of multiframe images reconstruction algorithm

商俊国 1焦斌亮1

作者信息

  • 1. 燕山大学信息科学与工程学院,河北,秦皇岛,066004
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摘要

Abstract

This paper introduced theories and characteristics of the Tikhonov regularized super-resolution reconstruction algorithm. Based on the customary regularization technology and the complementary information of the multiframe image sequences, presented a new method for image restoration. By embedding regularization in similarity term of the super-resolution reconstruction algorithm, improved the rectify efficiency of regularization term, and improved the convergence by conjugate gradient method, saved the time of image restoration. The result of experiment and computer simulations show that the performance of this algorithm is better than the traditional method. It is fast, and reduces fuzzy edge of the images.

关键词

超分辨率/图像重建/Tikhonov正则化/校正效率

分类

信息技术与安全科学

引用本文复制引用

商俊国,焦斌亮..多帧图像的Tikhonov正则化重建算法研究[J].计算机应用研究,2011,28(2):785-787,791,4.

基金项目

河北省教育厅基金资助项目(2007143) (2007143)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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