Hansen, Per Christian1; Nagy, James G.5; Tigkos, Konstantinos4
1 Department of Applied Mathematics and Computer Science, Technical University of Denmark2 Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark3 Emory University4 Department of Informatics and Mathematical Modeling, Technical University of Denmark5 Emory University
We describe iterative deblurring algorithms that can handle blur caused by a rotation along an arbitrary axis (including the common case of pure rotation). Our algorithms use a sparse-matrix representation of the blurring operation, which allows us to easily handle several different boundary conditions. We also include robust stopping rules for the iterations. The performance of our algorithms is illustrated with examples.
Bit Numerical Mathematics, 2014, Vol 54, Issue 3, p. 649-671