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In this case, the resulting matrix has Toeplitz-plus-Hankel structure, and if the convolution kernel a is symmetric, i.
r[OMEGA]] is realized as a [beta] dependent shift of the fan beam convolution kernel, the [alpha] integral in the definition of [?
Since the input image is represented as a set of discrete pixels, we have to find a discrete convolution kernel that can approximate the second derivatives in the definition of the Laplacian [4-8].