Abstract
The current image reconstruction methods have the problems of poor accuracy and low efficiency. An iterative reconstruction method for incomplete projection images based on FOPD-POCS is proposed in this paper. The scene visible object image is collected and the partial incomplete data is obtained by using the adaptive median filter method to process the image. Based on the information entropy, the weights of the sampling points are obtained by using different weighting schemes, and the sampling angle is determined to realize the object information scanning. Combined with the preliminary data and information scanning results, the FOPD-POCS algorithm is used to complete the image iterative reconstruction. According to the concept of convex optimization, the corresponding FOPD iteration formula is given. Image reconstruction is regarded as a convex set optimization problem. The first order dual algorithm FOPD and the convex set projection algorithm POCS are used to iterate alternately to obtain the target image. The experimental results show that this method is a feasible method for image reconstruction because of its high fitting degree and short time consuming.
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