Compensating for Non-Stationary Blurring by Further Blurring and Deconvolution.
Compensating for Non-Stationary Blurring by Further Blurring and Deconvolution.
复制标题
通过进一步模糊和反卷积补偿非平稳模糊。
DOI：
10.1002/ima.20197
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发表时间：
2009
影响因子：
3.3
通讯作者：
Zeng,GengshengL
中科院分区：
文献类型：
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作者：
Zeng,GengshengL
在许多成像系统中，点扩散函数（PSF）是非平稳的。通常使用计算量大的迭代算法来消除非平稳PSF的模糊。本文提出了一种利用非迭代方法补偿空间变异性PSF的新思路。该方法首先使用非平稳核进一步模糊图像，使合成图像具有平稳的PSF，然后使用有效的解卷积技术对合成图像进行去模糊。该方法通过单光子发射计算机断层扫描应用进行了说明和实现。©2009 Wiley期刊公司光学精密工程学报，2004,26 (2):481 - 481
In many imaging systems, the point spread function (PSF) is nonstationary. Usually, a computation‐intensive iterative algorithm is used to deblur the nonstationary PSF. This article presents a new idea of using a noniterative method to compensate for the spatially variant PSF. This method first further blurs the image with a nonstationary kernel so that the resultant image has a stationary PSF, then deblurs the resultant image using an efficient decovolution technique. The proposed method is illustrated and implemented by single photon emission computed tomography applications. © 2009 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 19, 221–226, 2009