A trust region-CG algorithm for deblurring problem in atmospheric image reconstruction |
| |
Authors: | Yanfei Wang Yaxiang Yuan and Hongchao Zhang |
| |
Institution: | State Key Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and System Sciences, Chinese Academy of Sci ences, Beijing 100080, China |
| |
Abstract: | In this paper we solve large scale ill-posed problems, particularly the image restoration problem in atmospheric imaging sciences,
by a trust region-CG algorithm. Image restoration involves the removal or minimization of degradation (blur, clutter, noise,
etc.) in an image using a priori knowledge about the degradation phenomena. Our basic technique is the so-called trust region
method, while the subproblem is solved by the truncated conjugate gradient method, which has been well developed for well-posed
problems. The trust region method, due to its robustness in global convergence, seems to be a promising way to deal with ill-posed
problems. |
| |
Keywords: | image reconstruction ill-posed problems truncated CG trust region |
本文献已被 万方数据 SpringerLink 等数据库收录! |
|