Hierarchical Statistical Models for the Fusion of Multiresolution Image Data

@inproceedings{Lafert1995HierarchicalSM,
  title={Hierarchical Statistical Models for the Fusion of Multiresolution Image Data},
  author={Jean-Marc Lafert{\'e} and Fabrice Heitz and Patrick P{\'e}rez and Eric Fabre},
  booktitle={ICCV},
  year={1995}
}
This paper presents a class of non-linear hierarchical algorithms for the fusion of multiresolution image data in low-level vision. The approach combines non-linear causal Markov models defined on hierarchical graph structures, with standard bayesian estimation theory. Two random processes defined on simple hierarchical graphs (quadtrees or " ternary graphs ") are introduced to represent the multiresolution observations at hand and the hidden labels to be estimated. A n optimal algorithm… CONTINUE READING