.png){kind=icon}
返回
A deconvolution technique using optimal Wiener filtering and regularization
.png){kind=icon}
PRE
AI
DOI：10.1016/S0165-1684(98)00161-3.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper describes a modified version of classical regularization techniques. Instead of using regularization in order to reduce the measurement noise effect of cancelling the inverse filter singularities, and to restore the original signal, a prefiltering is performed before the regularization. This prefiltering is obtained by using a Wiener filter based on a particular modelization of the signal to be restored. This new procedure is illustrated by the restoration of the Hubble Space Telescope (HST) images. (C) 1999 Elsevier Science B.V. All rights reserved.
Keyword:
optimal filtering
deconvolution
regularization
image restoration
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:
3.6
论文数:
10.0K
被引数:
1.7W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
分享收藏分享收藏
查看更多内容