Data hiding for halftone images

Ming Sun Fu; Oscar Chi Lim Au

doi:10.1117/12.384977

9 May 2000 Data hiding for halftone images

Ming Sun Fu, Oscar Chi Lim Au

Proceedings Volume 3971, Security and Watermarking of Multimedia Contents II; (2000) https://doi.org/10.1117/12.384977
Event: Electronic Imaging, 2000, San Jose, CA, United States

Abstract

With the ease of distribution of digital images, there is a growing concern for copyright control and authentication. While there are many existing watermarking and data hiding methods for natural images, almost none can be applied to halftone images. In this paper, we proposed two novel data hiding methods for halftone images. The proposed Data Hiding Pair-Toggling (DHPT) hides data by forced complementary toggling at pseudo-random locations within a halftone image. It is found to be very effective for halftone images with relatively coarse textures. For halftone images with fine textures (such as error diffusion with Steinberg kernel), the proposed Data Hiding Error Diffusion (DHED) gives significantly better visual quality by integrating the data hiding into the error diffusion operation. Both DHPT and DHED are computationally very simple and yet effective in hiding a relatively large amount of data. Both algorithms yield halftone images with good visual quality.

Citation Download Citation

Ming Sun Fu and Oscar Chi Lim Au "Data hiding for halftone images", Proc. SPIE 3971, Security and Watermarking of Multimedia Contents II, (9 May 2000); https://doi.org/10.1117/12.384977

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