.png){kind=icon}
返回
Deconvolution with correct sampling
.png){kind=icon}
OA
AI
DOI：10.1086/305187.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A new method for improving the resolution of astronomical images is presented. It is based on the principle that sampled data cannot be fully deconvolved without violating the sampling theorem. Thus, the sampled image should be deconvolved not by the total point-spread function but by a narrower function chosen so that the resolution of the deconvolved image is compatible with the adopted sampling. Our deconvolution method gives results that are, in at least some cases, superior to those of other commonly used techniques: in particular, it does not produce ringing around point sources superposed on a smooth background. Moreover, it allows researchers to perform accurate astrometry and photometry of crowded fields. These improvements are a consequence of both the correct treatment of sampling and the recognition that the most probable astronomical image is not a flat one. The method is also well adapted to the optimal combination of different images of the same object, as can be obtained, e.g., from infrared observations or via adaptive optics techniques.
Keyword:
methods, data analysis
methods, numerical
techniques, image processing
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.4
论文数:
8.3W
被引数:
32.0W
机构
暂无机构信息
引用论文
Partnering With Interpreter Services: Standardized Patient Cases to Improve Communication With Limited English Proficiency Patients.png)
MedEdPORTAL
OAAI
MedEdPORTALIF0
OAAI分享收藏Leaf carbon and water status control stomatal and nonstomatal limitations of photosynthesis in trees
PREAI
分享收藏 没有更多内容
没有更多内容