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Data hiding for halftone images

Authors Fu, Ming Sun
Au, Oscar C.
Issue Date 2000
Source Proceedings of SPIE--the international society for optical engineering , v. 3971, 2000, p. 228-236
Summary 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.
ISSN 0277-786X
ISBN 0-8194-3589-9
Rights Copyright 2000 Society of Photo-Optical Instrumentation Engineers. This paper was published in Security and Watermarking of Multimedia Contents II, Ping Wah Wong, Edward J. Delp, Editors, Proceedings of SPIE Vol. 3971, p. 228-236 (2000) and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Language English
Format Conference paper
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