Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB introduces approaches to solving the problem of image reconstruction on the Cartesian lattice. New concepts include methods of transferring the geometry of rays from the plane to the Cartesian lattice, the point map of projections, the particle and its field function, and the statistical model of averaging. Topics include separable 2D transforms, vector forms of representation, partitioning of 2D transforms, and tensor representation of 2D DFTs.
MATLAB is used to solve numerous examples in the book.
Teaching materials based on MATLAB and Simulink