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Proceedings Paper

Data hiding for halftone images
Author(s): Ming Sun Fu; Oscar Chi Lim Au
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Paper 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.

Paper Details

Date Published: 9 May 2000
PDF: 9 pages
Proc. SPIE 3971, Security and Watermarking of Multimedia Contents II, (9 May 2000); doi: 10.1117/12.384977
Show Author Affiliations
Ming Sun Fu, Hong Kong Univ. of Science and Technology (Hong Kong)
Oscar Chi Lim Au, Hong Kong Univ. of Science and Technology (Hong Kong)


Published in SPIE Proceedings Vol. 3971:
Security and Watermarking of Multimedia Contents II
Ping Wah Wong; Edward J. Delp III, Editor(s)

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