The bootstrap mean filter for image restoration

@article{Lam1993TheBM,
  title={The bootstrap mean filter for image restoration},
  author={Chi-Kin Lam},
  journal={Proceedings of 27th Asilomar Conference on Signals, Systems and Computers},
  year={1993},
  pages={578-582 vol.1}
}
A bootstrap mean is calculated as follows. An artificial data set is generated by randomly sampling the original data set. A trimmed mean is then calculated for each of the artificial data set. These steps are repeated many times to produce a set of trimmed means. The bootstrap mean is the average of these trimmed means. The bootstrap mean is a more robust estimate of the true mean and the estimation of error is the usual standard deviation. Recent advances in fast computers make it feasible to… CONTINUE READING

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