| An iterative deconvolution algorithm using combined regularization for low-order corrected astronomical images | |
Hualin Chen ; Xiangyan Yuan; Xiangqun Cui
| |
| 2008-07-10 | |
| Source Publication | Adaptive Optics Systems |
| Volume | 7015 |
| Issue | 7015 |
| Pages | Vol.7015 2F-1-12 |
| Conference Date | 2008-6-23 |
| Conference Place | Marseille, France |
| Funding Organization | The International Society for Optical Engineering |
| Publisher | SPIE |
| Abstract |
An iterative deconvolution algorithm is presented in detail which utilizes regularization to combine maximum-likelihood (ML) estimate of convolution error and several physical constraints to build error function. The physical constraints used in this algorithm include positivity, band-limit information and the information of multiple frames. By minimizing the combined error metric of individual ones, the object can be expected to be recovered from the noisy data. In addition, numerical simulation of Phase Screen distorted by atmospheric turbulence following the Kolmogorov spectrum is also made to generate the PSFs which are
used to simulate the degraded images. |
| Keyword | Adaptive Optics Iterative Deconvolution Maximum-likelihood Physical Constraints |
| Subject Area | 自适应光学 |
| Document Type | 会议论文 |
| Identifier | http://ir.niaot.ac.cn/handle/114a32/542 |
| Collection | 会议论文 |
| Recommended Citation GB/T 7714 | Hualin Chen,Xiangyan Yuan,Xiangqun Cui. An iterative deconvolution algorithm using combined regularization for low-order corrected astronomical images[C]:SPIE,2008:Vol.7015 2F-1-12. |
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| File Name/Size | DocType | Version | Access | License | ||
| An iterative deconvo（365KB） | 开放获取 | CC BY-NC-ND | View Download | |||
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