A Method of Digital Halftoning through Approximated Optimization of Scale-Related

Zi Fen He; Yin Hui Zhang

doi:10.4028/www.scientific.net/AMR.846-847.999

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847A Method of Digital Halftoning through...

A Method of Digital Halftoning through Approximated Optimization of Scale-Related

Abstract:

We gain the scale-related characterization of the original image using the discrete wavelet transform. The boundary information of the image target is fused by the wavelet coefficients of the correlation between wavelet transform layer, which to increase the pixel resolution scale. We apply the inter-scale fusion method to gain fusion coefficient of the fine-scale, which take into account the detail of the image and approximate information, which the fusion coefficient are referred to as the weighting operator and to establish the boundary energy function. In the halftone process, each clustering uses the weighted least-squares method through energy minimization via Direct Binary Search algorithm, which to gain halftoning image. Simulation results on typical test images further confirm the performance of the new approach.

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Periodical:

Advanced Materials Research (Volumes 846-847)

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999-1002

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https://doi.org/10.4028/www.scientific.net/AMR.846-847.999

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Online since:

November 2013

Authors:

Zi Fen He, Yin Hui Zhang*

Keywords:

Approximated Optimization, Digital Halftoning, Scale Related

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References

[1] J.P. Allebach, Ed. Selected Papers on Digital Halftoning. vol. MS 154. SPIE: Bellingham, WA(1999).

Google Scholar

[2] R. W. Floyd, L. Steinberg. An adaptive algorithm for spatial grey scale. in Proc. Soc. Inf. Display, 1975, p.36.

Google Scholar

[3] B.E. Bayer. An Optimum Method for Two-Level Rendition of Continuous-Tone Pictures. IEEE 1973 International Con$ on Communications, Vol. 26, p.11.

Google Scholar

[4] P. Li and J. Allebach. Look-up-table based halftoning algorithm. In Proc. 1998 IEEE Int. Conf. Image Processing, Chicago, IL, Oct. 1998, p.559.

DOI: 10.1109/icip.1998.723312

Google Scholar

[5] M. Analoui and J. Allebach. Model-based halftoning using direct binary search. in Proc. 1992 SPIE/IS&T Symp. Electronic Imaging Science Technology, vol. 1666, San Jose, CA, Feb. 1992, p.96.

DOI: 10.1117/12.135959

Google Scholar

[6] Aristidis Likas, Nikos Vlassis, Jakob.J. Verbeekb. The global k-means clustering algorithm. Pattern Recognition vol. 36(2003)p.451.

DOI: 10.1016/s0031-3203(02)00060-2

Google Scholar

[7] Cleveland, W.S. and Devlin, S.J. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting. Journal of the American Statistical Association, Vol. 83(1988), p.596.

DOI: 10.1080/01621459.1988.10478639

Google Scholar

[8] EA. Baqai, C.C. Taylor, and J.P. Allebach. Halftoning via direct binary search using a hard circular dot overlap model. in Proc. IS&T/OSA Optics & Imaging in the Information Age, Rochester, Oct. 1996, p.383.

Google Scholar