Journal of Frontiers of Computer Science and Technology ›› 2009, Vol. 3 ›› Issue (3): 321-329.DOI: 10.3778/j.issn.1673-9418.2009.03.010

• 学术研究 • Previous Articles     Next Articles

Super-Resolution Image Reconstruction with Iterative Back Projection Algorithm

GUO Weiwei1, ZHANG Pinzheng2+   

  1. 1. School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
    2. Lab of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-05-15 Published:2009-05-15
  • Contact: ZHANG Pinzheng



  1. 1. 东南大学 生物科学与医学工程学院,南京 210096
    2. 东南大学 计算机科学与工程学院 影像科学与技术实验室,南京 210096
  • 通讯作者: 章品正

Abstract: An image super-resolution reconstruction method, which combines the frequency domain motion estimation and iterative back projection (IBP) algorithm, has been proposed. Based on the frequency domain phase difference among the low resolution images, the motion parameters between the reference LR image and other LR images are estimated. Combining the IBP algorithm and the estimated motion parameters, the super-resolution image is iteratively reconstructed. Experimental results demonstrate that the proposed method is effective.

Key words: super resolution, image reconstruction, iterative back projection algorithm, frequency domain motion estimation

摘要: 提出了一种结合频域运动估计和迭代反投影的超分辨率图像重建算法。根据输入低分辨率序列图像各帧之间的傅立叶变换相位差,估计出每幅低分辨率图像相对于参考低分辨率图像的子象素位移;依据所得的子象素位移并结合迭代反投影算法,实现了超分辨率图像重建。实验结果表明,该算法是一种有效的超分辨率图像重建方法。

关键词: 超分辨率, 图像重建, 迭代反投影算法, 频域运动估计