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Summary Of Se D Da Ra


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Summary Of Se D Da Ra

  1. 1. Summary of SeDDaRA<br />Matsuda Kazuki<br />2009/9/5<br />
  2. 2. “Application of self-deconvolution method to shift-and-add solar imaging”<br />Written by Yoshifumi Sudo, NaoshiBaba, NoriakiMiura, Satoru Ueno, and ReizaburoKitai<br />
  3. 3. Abstract<br />Shift and Add Operation is very useful to get high-resolution image from atmospherically degraded data.<br />The self-deconvolving data reconstruction algorithm (SeDDaRA) is to augment high-speed-frequency components in solar speckle images.<br />Self-deconvolving image -&gt; SAA -&gt; get High-resolution image.<br />
  4. 4. Introduction<br />Adaptive Optics mitigate atmospheric turbulence in real time.<br />On the other hand, there are various a posteriori methods.<br />Stellar speckle imaging– SAA is simplest in this category.<br />Can applied to solar image.<br />Key point of SAA method is shifting image on point position of the instantaneous PSF.<br />But it is difficult to apply to extended object.<br />
  5. 5. Alternative method<br />Some alternative method is required to find shifting width.<br />Co-relation.On Granulation. From reference frame.<br />But, in this way, quality of SAA result is determined by selection of reference frame.<br />It is desirable that human’s selection independent results (& method).<br />
  6. 6. New method<br />1st – self-deconvolving.<br />2nd – SAA with reference frame.<br />Reference frame is determined from RMSC.<br />
  7. 7. The i-thspecle image gi(x,y) is writen<br /> The Fourier Transform is<br />Deconvolution by using a“pseudo Wiener filter Di(u,v)”<br />Method<br />
  8. 8. Puseud Winner Filter<br />H is low frequency of G-N<br />
  9. 9. Afterdeconvolution<br />SAA<br />Reference frame is determined by RMSC<br />A Frame which had Highest RMSC is reference frame.<br />
  10. 10. Next action<br />Fix reference frame and SAA method.<br />One more SAA method under the condition that reference frame is 1st result.<br />Finish.<br />
  11. 11. Fig1.One of data frame <br />
  12. 12. Fig2. Best shot<br />
  13. 13. Fig3. The SAA reconstructed Image<br />
  14. 14. Fig4. Iteratively reconstructed SAA image<br />