计算机与现代化 ›› 2009, Vol. 1 ›› Issue (10): 95-3.doi: 10.3969/j.issn.1006-2475.2009.10.027

• 图像处理 • 上一篇    下一篇

一种基于模糊聚类和奇异值分解的水印算法

林李雄,舒志彪   

  1. 福州大学数学与计算机科学学院,福建 福州 350108
  • 收稿日期:2008-10-24 修回日期:1900-01-01 出版日期:2009-10-15 发布日期:2009-10-15

A Watermarking Algorithm Based on Fuzzy Clustering and Singular Value Decomposition

LIN Li-xiong,SHU Zhi-biao   

  1. College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China
  • Received:2008-10-24 Revised:1900-01-01 Online:2009-10-15 Published:2009-10-15

摘要:

提出一种新的基于模糊聚类和奇异值分解的水印算法。利用人类视觉系统(HVS)的掩蔽效应,在载体图像空域进行模糊聚类(FCM)寻找图像纹理复杂的子区域来作为嵌入水印的位置,再用奇异值分解(SVD)实现水印的嵌入。实验表明,该算法有效地平衡了水印的鲁棒性和视觉上的不可见性之间的矛盾。

关键词: 模糊聚类, HVS, 奇异值分解, 数字水印

Abstract:

A new watermarking algorithm based on fuzzy clustering and singular value decomposition is proposed. It makes good use of the HVS’s masking effect and searches the intricate texture field in the host image’s spatial field as the embedding position with FCM. Then the watermark is embedded based on SVD. Experimental results demonstrate that the proposed scheme effectively balances the conflict between the robustness and invisibility.

Key words: fuzzy clustering, HVS model, SVD, digital watermarking