Compensating for Non-Stationary Blurring by Further Blurring and Deconvolution

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.