Determination of point spread function for a flat-panel X-ray imager and its application in image restoration

We investigate the image blur estimation methods, namely modified the Richardson–Lucy (R–L) estimator and the Wiener estimator. Based on the empirical model of the PSF, an image restoration is applied to radiological images. The accuracy of the PSF estimation under the Poisson noise and readout electronic noise is significantly better for the R–L estimator than the Wiener estimator. In the image restoration using the 2-D PSF from the R–L estimator, the result shows a good improvement in the low and middle range of spatial frequency.