Parallel scheme of the iterative blind deconvolution method for stellar object reconstruction

Abstract

An algorithm for stellar object reconstruction without a reference star is described. The algorithm is based on parallel application of the iterative blind deconvolution method to several speckle frames, and it permits reconstruction of an object that satisfies the convolution relation in all the frames used. Computer simulations with noisy speckle images are carried out to demonstrate performances of the algorithm. The algorithm is applied to observational data of binary stars, and high-resolution images are clearly reconstructed. Binary parameters extracted from the images show good consistency with those obtained both with the power spectrum analysis and with the shift-and-add method.

Multichannel Blind Deconvolution As A Tool For Solar Image Restoration

“…For the PSF, constraints on the size of the support and non-negativity are often used. For computing the new estimates of the image and/or PSF an incremental Wiener filter (see Mou-yan and Unbehauen, 1995) is applied.…”

“…The first attempts were made in the blind deconvolution of multiple speckle images. SC blind iterative algorithms (Lane, 1992;Miura et al, 1993) were applied in parallel here and estimates were averaged. Methods proposed by Boo and Bose (1997), Ghiglia (1984), Rajagopalan andChaudhuri (1998), andSchulz (1993) extend readily available SC blind algorithms to the MC framework.…”

“…Intrinsically, MC blind methods that do not have SC equivalent were proposed, e.g. by Pillai and Laing (1999) and Harikumar and Bresler (1999). The MC deconvolution problem is in general better conditioned than the SC one when different blur functions in channels are assumed.…”

<title>Application of multiframe iterative blind deconvolution for diverse astronomical imaging</title>

“…These results demonstrate that the first minimum needs to sampled by the PSF to obtain a realistic object estimate and that the degree of super-resolution depends strongly of the highest-spatial frequency sampled. The application of IBD to speckle interferometric data has been reported by various authors [1] [9]. Because each specklegram has a different PSF, speckle data is a good candidate for restoration by IBD using multiple frames.…”

“…Portions of this work were performed on the computing facilities at the San Diego Supercomputer Center which is supported in part by the NSF. 9 References…”