Pei Soo-Chang, Guo Jing-Ming
Department of Electrical Engineering, National Taiwan University, Taipei, ROC.
IEEE Trans Image Process. 2006 Jun;15(6):1665-79. doi: 10.1109/tip.2006.871080.
In this paper, a high-capacity data hiding is proposed for embedding a large amount of information into halftone images. The embedded watermark can be distributed into several error-diffused images with the proposed minimal-error bit-searching technique (MEBS). The method can also be generalized to self-decoding mode with dot diffusion or color halftone images. From the experiments, the embedded capacity from 33% up to 50% and good quality results are achieved. Furthermore, the proposed MEBS method is also extended for robust watermarking against the degradation from printing-and-scanning and several kinds of distortions. Finally, a least-mean square-based halftoning is developed to produce an edge-enhanced halftone image, and the technique also cooperates with MEBS for all the applications described above, including high-capacity data hiding with secret sharing or self-decoding mode, as well as robust watermarking. The results prove much sharper than the error diffusion or dot diffusion methods.
本文提出了一种高容量数据隐藏方法，用于将大量信息嵌入到半色调图像中。利用所提出的最小误差位搜索技术（MEBS），可将嵌入的水印分布到多个误差扩散图像中。该方法还可推广到采用点扩散或彩色半色调图像的自解码模式。实验结果表明，嵌入容量可达33%至50%，且质量良好。此外，所提出的MEBS方法还扩展为可抵抗打印和扫描造成的退化以及多种失真的鲁棒水印。最后，开发了一种基于最小均方的半色调处理方法，以生成边缘增强的半色调图像，该技术还与MEBS配合用于上述所有应用，包括具有秘密共享或自解码模式的高容量数据隐藏以及鲁棒水印。结果证明，该方法比误差扩散或点扩散方法更清晰。
