Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Binary matrices under the microscope: A tomographical problem
Theoretical Computer Science
Scanning integer matrices by means of two rectangular windows
Theoretical Computer Science
Generic iterative subset algorithms for discrete tomography
Discrete Applied Mathematics
Bounds on the difference between reconstructions in binary tomography
DGCI'11 Proceedings of the 16th IAPR international conference on Discrete geometry for computer imagery
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In this paper, we consider the problem of reconstructing a highresolution binary image from several low-resolution scans. Each of the pixels in a low-resolution scan yields the value of the sum of the pixels in a rectangular region of the high-resolution image. For any given set of such pixel sums, we derive an upper bound on the difference between a certain binary image which can be computed effciently, and any binary image that corresponds with the given measurements. We also derive a bound on the difference between any two binary images having these pixel sums. Both bounds are evaluated experimentally for different geometrical settings, based on simulated scan data for a range of images.