Generalized statistical smoothing to the problem of inverse-halftoning for error diffusion

Abstract

We improve the performance of the statistical smoothing to the problem of inverse-halftoning for error diffusion by introducing the general parameter scheduling. Then, using the numerical simulation for several gray-level images, we estimate the performance based on the mean square error, the histogram of the gray-level and the gray-levels on the segment across the edges of the original image. The simulations clarify that the performance of the statistical smoothing is improved by tuning the parameters of our model.

Cite this paper

@article{Saika2007GeneralizedSS, title={Generalized statistical smoothing to the problem of inverse-halftoning for error diffusion}, author={Y. Saika and Tatsushi Yamasaki}, journal={2007 International Conference on Control, Automation and Systems}, year={2007}, pages={781-784} }