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Perceptual Quality Improvement for Synthesis Imaging of Chinese Spectral Radioheliograph

  • Long XuEmail author
  • Lin Ma
  • Zhuo Chen
  • Yihua Yan
  • Jinjian Wu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9315)

Abstract

Chinese Spectral Radioheliography can generate the images of the Sun with good spatial resolutions. It employs the Aperture Synthesis principle to image the Sun with plentiful solar radio activities. However, due to the limitation of the hardware, specifically the limited number of antennas, the recorded signal is extremely sparse in practice, which results in unsatisfied solar radio image quality. In this paper, we study the image reconstruction of Chinese Spectral RadioHeliograph (CSRH) by the aid of compressed sensing (CS) technique. In our proposed method, we adopt dictionary technique to represent solar radio images sparsely. The experimental results indicate that the proposed algorithm contributes both PSNR and subjective image quality improvements of synthesis imaging of CSRH markedly.

Keywords

Compressed sensing Solar radio astronomy Image reconstruction Aperture syntheis 

Notes

Acknowledgment

This work was partially supported by a grant from the National Natural Science Foundation of China under Grant 61202242, 100-Talents Program of Chinese Academy of Sciences (No. Y434061V01).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Long Xu
    • 1
    Email author
  • Lin Ma
    • 2
  • Zhuo Chen
    • 1
  • Yihua Yan
    • 1
  • Jinjian Wu
    • 3
  1. 1.Key Laboratory of Solar ActivityNational Astronomical Observatories, Chinese Academy of SciencesBeijingChina
  2. 2.Huawei Noah’s Ark LabHong KongChina
  3. 3.School of Electronic EngineeringXidian UniversityXi’anChina

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