An iterative deconvolution algorithm using combined regularization for low-order corrected astronomical images | |
Hualin Chen; Xiangyan Yuan; Xiangqun Cui | |
2008-07-10 | |
会议录名称 | Adaptive Optics Systems |
卷号 | 7015 |
期号 | 7015 |
页码 | Vol.7015 2F-1-12 |
会议日期 | 2008-6-23 |
会议地点 | Marseille, France |
会议主办者 | The International Society for Optical Engineering |
出版者 | SPIE |
摘要 |
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. |
关键词 | Adaptive Optics Iterative Deconvolution Maximum-likelihood Physical Constraints |
学科领域 | 自适应光学 |
文献类型 | 会议论文 |
条目标识符 | http://ir.niaot.ac.cn/handle/114a32/542 |
专题 | 会议论文 |
推荐引用方式 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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
An iterative deconvo(365KB) | 开放获取 | CC BY-NC-ND | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论