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Method of paired transforms for reconstruction of images from projections: discrete model
1Department of Electrical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249-0669, USA. amgrigoryan@utsa.edu
Abstract:
In this paper, an effective method of discrete image reconstruction from its projections is introduced. The method is based on the vector and paired representations of the two-dimensional (2D) image with respect to the 2D discrete Fourier transform. Such representations yield algorithms for image reconstruction by a minimal number of attenuation measurements in certain projections. The proposed algorithms are described in detail for an N x N image, when N = 2(r), r > 1. The inverse formulas for image reconstruction are given. The efficiency of the algorithms is expressed in the fact that they require a minimal number of multiplications, or can be implemented without such at all. The problem of discrete image reconstruction is also considered in three-dimensional (3D) space, namely on the 3D torus, where the reconstruction is performed by means of the nonlinear projections that are integral over 3D spirals on the torus.
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