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应用科学学报 ›› 2007, Vol. 25 ›› Issue (3): 257-257 .

• 论文 • 上一篇    下一篇

基于帧间单映变换的视频序列超分辨率重建

韩玉兵1，束 锋1，吴乐南2   

  1. 1.南京理工大学 电子工程与光电技术学院，江苏 南京 210094
    2.东南大学 无线电工程系，江苏 南京 210096
  • 收稿日期:2006-09-11 修回日期:2007-01-15 出版日期:2007-05-31 发布日期:2007-05-31

Super Resolution Reconstruction of Video Sequence Based on Inter-frame Homography Transform

HAN Yu-bing1, SHU Feng1, WU Le-nan2   

  1. 1. School of Electronic Engineering & Optoelectronic Techniques, Nanjing University of Science & Technology, Nanjing, 210094, China
    2. Department of Radio Engineering, Southeast University, Nanjing, 210096, China

  • Received:2006-09-11 Revised:2007-01-15 Online:2007-05-31 Published:2007-05-31

被引次数

1

摘要： 针对帧间单映变换的视频序列提出了一种超分辨率重建算法。首先在最小二乘的基础上给出超分辨率重建的数学模型；其次采用基于模型的等级估计法估计相邻帧的单映变换矩阵；然后采用基于RANSAC的特征点匹配方法对非相邻帧进行带指导的改进估计，使其能够达到要求的亚像素级精度；最后运用共扼梯度算法进行迭代重建，并详细讨论了主要的矩阵向量乘法计算。实验结果表明该算法的重建相当有效。

关键词: 视频处理, 超分辨率重建, 单映变换, 随机抽样一致性算法, 共轭梯度算法

Abstract: A super resolution (SR) reconstruction algorithm of video sequence based on inter-frame homography transform is presented in this paper. The mathematical model of SR is introduced using the least square principle. Hierarchical model-based motion estimation is adopted to compute the adjacent homography matrix. For non-adjacent frames, the homography matrix is estimated with guided feature registration based on RANSAC algorithm, which gives sub-pixel accuracy. Finally, a conjugate gradient algorithm is used to reconstruct the SR frames, and computation of matrix-vector multiplication is studied in detail. Experimental results demonstrate effectiveness the proposed method.

Key words: video processing, super resolution reconstruction, homography transform, RANSAC algorithm, CG algorithm