CAJ | 학술논문

为了提高水印的抗旋转攻击鲁棒性，加大水印的嵌入量，提出了一种基于非采样Contourlet变换（NSCT）和离散余弦变换（DCT）结合的双重变换域水印算法。对图像进行NSCT变换，将低频系数进行DCT变换，对DCT域低频系数进行奇异值分解（SVD）。经仿真实验表明，该算法对常规滤波、旋转有很好的鲁棒性，特别面对旋转攻击时，算法仍能很好地提取出水印信息。
위료제고수인적항선전공격로봉성，가대수인적감입량，제출료일충기우비채양Contourlet변환（NSCT）화리산여현변환（DCT）결합적쌍중변환역수인산법。대도상진행NSCT변환，장저빈계수진행DCT변환，대DCT역저빈계수진행기이치분해（SVD）。경방진실험표명，해산법대상규려파、선전유흔호적로봉성，특별면대선전공격시，산법잉능흔호지제취출수인신식。
This paper proposes a new algorithm based on Nonsampling Contourlet Transform(NSCT) and Discrete Cosine Transformation(DCT)to improve the watermarking’s anti-rotation attack robustness and the embedding quantity. It transforms the image with NSCT, then does the low-frequency coefficients with DCT, decomposes the low-frequency coefficients of DCT domain with Singular Value Decomposition(SVD). Experimental results show that the algorithm has a good robustness in filter and rotation, and extracts the watermarking very well in rotation attack especially.