Paper
9 May 2000 Data hiding for halftone images
Ming Sun Fu, Oscar Chi Lim Au
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 55 scholarly publications.
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KEYWORDS
Halftones

Data hiding

Diffusion

Visualization

Image quality

Digital watermarking

Image filtering

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