Wavelet Transform Modulus Maxima-Based Robust Digital Image Watermarking in Wavelet Domain

作     者：骆婷 洪帆 LUO Ting,HONG Fan School of Computer Science and Technology,Huazhong University of Science and Technology,Wuhan 430074,China

作者机构：School of Computer Science and TechnologyHuazhong University of Science and Technology 

出 版 物：《Journal of Southwest Jiaotong University(English Edition)》 (西南交通大学学报（英文版）)

年 卷 期：2009年第17卷第1期

页      面：1-8页

学科分类：0839[工学-网络空间安全] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The National Natural Science Foundation of China (No.60703048) the Natural Science Foundation of Hubei Province (No.2007ABA303) 

主　　题：Image watermarking Wavelet transform modulus maxima Geometric invariant Blind detection 

摘      要：A new robust watermarking approach was proposed in 2D continuous wavelet domain （CWT）. The watermark is embedded into the large coefficients in the middle band of wavelet transform modulus maxima （WTMM） of the host image. After possible attacks, the watermark is then detected and extracted by correlation analysis. Compared with other wavelet domain watermarking approaches, the WTMM approach can endow the image with beth rotation and shift invariant properties. On the other hand, scale invariance is achieved with the geometric normalization during watermark detection. Case studies involve various attacks such as shifting, lossy compression, scaling, rotation and median filtering on the watermarked image, and the result shows that the approach is robust to these attacks.