Data Hiding in Halftone Images Using Adaptive Noise-Balanced Error Diffusion and Quality-Noise Look Up Table
This study presents a reasonable computational complexity watermarking algorithm to embed hidden pattern into two or more halftone images with Adaptive Noise-Balanced Error Diffusion (ANBEDF). One halftone image is obtained by traditional error diffusion, and the others are obtained by ANBEDF. The visual decoded hidden pattern can be detected when the similar error-diffused images are overlaid each other. Better decoded result can be obtained by a simple XNOR operation. The proposed method employs the trained Quality-Noise Look Up Table (QNLUT) and the optimized multipliers to control the adaptive noise strength according to the local variance value. The experimental results show that higher decoding rate is available under the same image quality performance as former approaches in the literature.
Digital halftoning data hiding ordered dithering error diffusion adaptive noise-balanced error
Jing-Ming Guo Jia-Jin Tsai
Department of Electrical Engineering,National Taiwan University of Science and Technology Taipei,Taiwan
国际会议
The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)
西安
英文
201-204
2009-08-18(万方平台首次上网日期,不代表论文的发表时间)