Zeng Gengsheng L
Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT 84108, USA,
Int J Imaging Syst Technol. 2009 Sep 1;19(3):221-226. doi: 10.1002/ima.20197.
In many imaging systems, the point spread function (PSF) is non-stationary. Usually a computation-intensive iterative algorithm is used to de-blur the non-stationary PSF. This paper presents a new idea of using a non-iterative method to compensate for the spatially variant PSF. This method first further blurs the image with a non-stationary 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 SPECT (single photon emission computed tomography) applications.
在许多成像系统中，点扩散函数（PSF）是非平稳的。通常会使用计算密集型的迭代算法来对非平稳PSF进行去模糊处理。本文提出了一种使用非迭代方法来补偿空间变化PSF的新思路。该方法首先用一个非平稳核进一步模糊图像，以使所得图像具有平稳的PSF，然后使用一种高效的反卷积技术对所得图像进行去模糊处理。通过单光子发射计算机断层扫描（SPECT）应用对所提出的方法进行了说明和实现。
