Wiener Filter and Iterative Regularization Methods for Solar Image Reconstruction

Shuzhen Wang (shuzhenwang@xidian.edu.cn), Yinlong Wang (wangyl0514@126.com) and Liya Xu (xuly1745@126.com)
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Shuzhen Wang: Xidian University
Yinlong Wang: Xidian University
Liya Xu: Xidian University

A chapter in LISS 2014, 2015, pp 635-642 from Springer

Abstract: 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.

Keywords: Wiener filter; Heliograph imaging; Image reconstruction (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_91

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DOI: 10.1007/978-3-662-43871-8_91

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