Halftone image resampling by interpolation and error-diffusion

Authors:
Feng Jen-Bang;Lin Iuon-Chang;Chu Yen-Ping
Affiliations:
National Chung Hsing University, Taichung, Taiwan, R.O.C.;National Chung Hsing University, Taichung, Taiwan, R.O.C.;Tunghai University, Taichung, Taiwan, R.O.C.
Venue:
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Year:
2008

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Abstract

Halftoning schemes are developed for reserving the quality after transforming continuous tone images to binary images under human vision. It is wildly used in printing and outputting. So far most of halftoning schemes focus on the algorithms for halftoning transformation and inverse halftoning transformation. However, the resampling algorithm for halftone images is still insufficient, only a few research focusing on shirking halftone images. In this paper, we propose a new halftone image resampling scheme based on interpolation and error-diffusion. The proposed scheme can directly shrink and magnify halftone images to any desired scale. It does not need to transform back and forth form continuous-tone images anymore. In the experimental results, the quality of halftone image is superior to previous works.