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Wiener Filter and Iterative Regularization Methods for Solar Image Reconstruction

In: Liss 2014

Author

Listed:
  • Shuzhen Wang

    (Xidian University)

  • Yinlong Wang

    (Xidian University)

  • Liya Xu

    (Xidian University)

Abstract

Wiener filtering considers the noises in image restoration, and makes full use of the prior statistics knowledge of the noises. So it can improve the recovery effectively. On the other hand, the iterative regularization can effectively solve the ill-posed problem in the image restoration, and make the approximate solution tend to be stable. In this paper, inspired by the characteristics of the solar imaging system, we use the wiener filter and iterative regularization methods for solar image reconstruction. Simulation experiments are conducted to validate the effectiveness and stability of the proposed scheme.

Suggested Citation

  • Shuzhen Wang & Yinlong Wang & Liya Xu, 2015. "Wiener Filter and Iterative Regularization Methods for Solar Image Reconstruction," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 635-642, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_91
    DOI: 10.1007/978-3-662-43871-8_91
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