A color halftoning algorithm for low-bit flat panel displays

A new color halftoning algorithm for very limited flat panel displays is proposed. We introduce a new method of color image halftoning that incorporates the human visual characteristics within the frame work of error diffusion to improve the quality of halftoned images. Moreover, by exploiting an adaptive processing technique which eliminates the estimation of the second-order statistics for input images, coefficients of the error diffusion filter are updated adaptively according to the characteristics of the input image. The image quality resulting from the proposed algorithm is measured by subjective evaluation and shows less artificial contouring and visual worm patterns.

[1]  Teresa H. Y. Meng,et al.  Color quantization of images based on human vision perception , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[2]  Sudhir S. Dixit.  Quantization of color images for display/printing on limited color output devices , 1991, Comput. Graph..

[3]  Charles A. Bouman,et al.  Optimized error diffusion for image display , 1992, J. Electronic Imaging.

[4]  Bernard Widrow,et al.  Adaptive Signal Processing , 1985 .

[5]  R. Nasanen.  Visibility of halftone dot textures , 1984, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  Paul S. Heckbert.  Color image quantization for frame buffer display , 1982, SIGGRAPH.

[7]  Etienne Barnard,et al.  Optimal error diffusion for computer-generated holograms , 1988 .