Translator Disclaimer
9 May 2000 Data hiding for halftone images
Author Affiliations +
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);


Color halftoning by indexing the visual-optimized dot profiles
Proceedings of SPIE (September 06 1998)
Data hiding in halftone images with parity coding
Proceedings of SPIE (July 31 2001)
New methods for digital halftoning and inverse halftoning
Proceedings of SPIE (December 27 2001)
Multiresolution binary image embedding
Proceedings of SPIE (June 19 2003)

Back to Top