# 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} }

- Published in Proceedings of 27th Asilomar Conference on…1993
DOI:10.1109/ACSSC.1993.342582

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