Estimating the Joint Statistics of Images Using Nonparametric Windows with Application to Registration Using Mutual Information

@article{Dowson2008EstimatingTJ,
  title={Estimating the Joint Statistics of Images Using Nonparametric Windows with Application to Registration Using Mutual Information},
  author={Nicholas D. H. Dowson and Timor Kadir and Richard Bowden},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2008},
  volume={30},
  pages={1841-1857}
}
Recently, the Non-Parametric (NP) Windows has been proposed to estimate the statistics of real 1D and 2D signals. NP Windows is accurate, because it is equivalent to sampling images at a high (infinite) resolution for an assumed interpolation model. This paper extends the proposed approach to consider joint distributions of image-pairs. Secondly, Green's Theorem is used to simplify the previous NP Windows algorithm. Finally, a resolution aware NP Windows algorithm is proposed, to improve… CONTINUE READING
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