MAP Signal Reconstruction with Non Regular Grids

The estimation of a scalar function f using a regular grid has been extensively used in image analysis. This amounts to approximate f by a linear combination of known basis functions. However, this approach is usually not efficient. This paper proposes a more efficient algorithm, based on the use of a non regular grid, which achieves better accuracy with less basis functions. Experimental results are provided to illustrate the performance of the proposed technique.