کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6423162 | 1341255 | 2012 | 14 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: An efficient computational approach for multiframe blind deconvolution An efficient computational approach for multiframe blind deconvolution](/preview/png/6423162.png)
Obtaining high resolution images of space objects from ground based telescopes involves using a combination of sophisticated hardware and computational post-processing techniques. An important, and often highly effective, computational post processing tool is multiframe blind deconvolution (MFBD). Mathematically, MFBD is modeled as a nonlinear inverse problem that can be solved using a flexible, variable projection optimization approach. In this paper we consider MFBD problems that are parameterized by a large number of variables. The formulas required for efficient implementation are carefully derived using the spectral decomposition and by exploiting properties of conjugate symmetric vectors. In addition, a new approach is proposed to provide a mathematical decoupling of the optimization problem, leading to a block structure of the Jacobian matrix. An application in astronomical imaging is considered, and numerical experiments illustrate the effectiveness of our approach.
Journal: Journal of Computational and Applied Mathematics - Volume 236, Issue 8, February 2012, Pages 2112-2125