Efficient half-quadratic regularization with granularity control

@article{Rivera2003EfficientHR,
  title={Efficient half-quadratic regularization with granularity control},
  author={Mariano Rivera and Jos{\'e} L. Marroqu{\'i}n},
  journal={Image Vision Comput.},
  year={2003},
  volume={21},
  pages={345-357}
}
In the last decade, several authors have proposed edge preserving regularization (EPR) methods for solving ill posed problems in early vision. These techniques are based on potentials derived from robust M–Estimators. They are capable of detecting outliers in the data, finding the significant borders in noisy images and performing edge–preserving restorations. These methods, however, have some problems: they are computationally expensive, and often produce solutions which are either too smooth… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Similar Papers

Loading similar papers…