Prediction-Based Watermarking Schemes for DCT-Based Image Coding

摘要：

This study presents two predicted-based watermarking schemes, namely Ahead AC-Predicted Watermarking (AAPW) and Post AC-Predicted Watermarking (PAPW), by embedding information into low frequency AC coefficients of Discrete Cosine Transform (DCT). The proposed methods utilize the DC values of the neighboring blocks to predict the AC coefficients of the center block. The low frequency AC coefficients are modified to carry watermark information. The Least Mean Squares (LMS) is employed to yield the intermediate filters for cooperating with the neighboring DC coefficients to predict the original AC coefficients. During the LMS filter training, the training blocks are classified into different categories according to their texture angles and variances. The classified trained filter sets are then used to predict the AC coefficients even more precisely. As documented in the experimental results, the image quality and the embedded capacity of the proposed schemes are superior to former methods in the literature. Moreover, many attacks are addressed to show the robustness of the proposed methods.

关键词： Discrete cosine transform digital watermarking least mean squares AAPW PAPW.

作者: Jing-Ming Guo Chia-Hao Chang

作者单位: Department of Electrical Engineering National Taiwan University of Science and Technology Taipei,Taiwan

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 619-622

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）