2. “Application of self-deconvolution method to shift-and-add solar imaging” Written by Yoshifumi Sudo, NaoshiBaba, NoriakiMiura, Satoru Ueno, and ReizaburoKitai
3. Abstract Shift and Add Operation is very useful to get high-resolution image from atmospherically degraded data. The self-deconvolving data reconstruction algorithm (SeDDaRA) is to augment high-speed-frequency components in solar speckle images. Self-deconvolving image -> SAA -> get High-resolution image.
4. Introduction Adaptive Optics mitigate atmospheric turbulence in real time. On the other hand, there are various a posteriori methods. Stellar speckle imaging– SAA is simplest in this category. Can applied to solar image. Key point of SAA method is shifting image on point position of the instantaneous PSF. But it is difficult to apply to extended object.
5. Alternative method Some alternative method is required to find shifting width. Co-relation.On Granulation. From reference frame. But, in this way, quality of SAA result is determined by selection of reference frame. It is desirable that human’s selection independent results (& method).
6. New method 1st – self-deconvolving. 2nd – SAA with reference frame. Reference frame is determined from RMSC.
7. The i-thspecle image gi(x,y) is writen The Fourier Transform is Deconvolution by using a“pseudo Wiener filter Di(u,v)” Method
