Compensating for Non-Stationary Blurring by Further Blurring and Deconvolution.
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.
Zeng
Gengsheng L
GL
Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT 84108, USA, larry@ucair.med.utah.edu , .