Adaptive image halftoning based on wavelet transform

A new adaptive digital halftoning method is presented where the screen function is designed to be adaptive to the local variation of image intensity. Wavelet transform is used to extract the information of this variation by estimating the gradient at each pixel. Our initial experimental results have shown improved visual effect of the halftoned images.

[1]  David L. Neuhoff,et al.  Model-based halftoning , 1991, Electronic Imaging.

[2]  Robert Ulichney,et al.  Digital Halftoning , 1987 .

[3]  J. Stoffel,et al.  A Survey of Electronic Techniques for Pictorial Image Reproduction , 1981, IEEE Trans. Commun..

[4]  Dimitris Anastassiou,et al.  Digital Halftoning of Images , 1982, IBM J. Res. Dev..

[5]  Stéphane Mallat,et al.  Characterization of Signals from Multiscale Edges , 2011, IEEE Trans. Pattern Anal. Mach. Intell..