Reconstruction of flash radiographic image based on Bayesian approach

A reconstruction algorithm is proposed for flash radiographic image with low signal-to-noise ratio. The algorithm is based on Bayesian principle, and uses smoothness constraint to handle the blurring effects caused by the X-ray source of radiography and imaging device. It is implemented with regularization schemes for performing tomographic image reconstruction from a single noisy projection. Numerical experimental results show that, in comparison with the conventional algebraic reconstruction technique, the algorithm has stronger ability of noise removal and edge preservation.