Total variation-based regularization algorithm for image deblur-reconstruction in high energy X-ray radiography

According to the problem of deblur of flash radiographic image with low signal-to-noise ratio, a total variation (TV) regularization based image deblur-reconstruction algorithm is proposed. Considerring the blurring of the image system, the deblur-reconstruction model in new algorithm is established for three-dimensional (3D) object based on flash radiographic characteristics. Then a TV-norm is used as regularized term to construct a smoothing function for image deblur-reconstruction. Thus, the problem of image deblur-reconstruction is transformed in to a problem of a functional minimization. The fixed point iteration (FPI) scheme is introduced to solve the problem. The numerical experimental results show that to some extent, the new algorithm can eliminate the influence on reconstruction