Tomographic reconstruction using nonseparable wavelets

@article{Bonnet2000TomographicRU,
  title={Tomographic reconstruction using nonseparable wavelets},
  author={St{\'e}phane Bonnet and Françoise Peyrin and Francis Turjman and R{\'e}my Prost},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2000},
  volume={9 8},
  pages={
          1445-50
        }
}
  • S. BonnetF. Peyrin R. Prost
  • Published 1 August 2000
  • Mathematics
  • IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In this paper, the use of nonseparable wavelets for tomographic reconstruction is investigated. Local tomography is also presented. The algorithm computes both the quincunx approximation and detail coefficients of a function from its projections. Simulation results showed that nonseparable wavelets provide a reconstruction improvement versus separable wavelets. 

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