  In Cone-Beam CT (CBCT) imaging systems, the scattering phenomenon has a
significant impact on the reconstructed image and is a long-lasting research
topic on CBCT. In this paper, we propose a simple, novel and fast approach for
mitigating scatter artifacts and increasing the image contrast in CBCT,
belonging to the category of convolution-based method in which the projected
data is de-convolved with a convolution kernel. A key step in this method is
how to determine the convolution kernel. Compared with existing methods, the
estimation of convolution kernel is based on bi-l1-l2-norm regularization
imposed on both the intermediate the known scatter contaminated projection
images and the convolution kernel. Our approach can reduce the scatter
artifacts from 12.930 to 2.133.
