计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
7期
75-79
,共5页
参考水印%离散小波变换%奇异值分解%虚警错误%鲁棒性
參攷水印%離散小波變換%奇異值分解%虛警錯誤%魯棒性
삼고수인%리산소파변환%기이치분해%허경착오%로봉성
reference watermarking%Discrete Wavelet Transform%Singular Value Decomposition%false alarm errors%robustness
针对一类SVD域图像水印方案存在过高虚警概率的问题,提出了一种改进的混合DWT和SVD的图像参考水印算法。算法先对载体图像进行n层的离散小波变换,然后随机选取第n层的部分或全部子带形成参考子带,并对参考子带进行SVD分解;将Arnold置乱处理后的水印嵌入到SVD分解后的奇异值矩阵中。实验表明,提出的算法具有较好的透明性和安全性;与其他方案相比,解决了虚警概率问题,且对于大部分的攻击,具有更好的鲁棒性能。
針對一類SVD域圖像水印方案存在過高虛警概率的問題,提齣瞭一種改進的混閤DWT和SVD的圖像參攷水印算法。算法先對載體圖像進行n層的離散小波變換,然後隨機選取第n層的部分或全部子帶形成參攷子帶,併對參攷子帶進行SVD分解;將Arnold置亂處理後的水印嵌入到SVD分解後的奇異值矩陣中。實驗錶明,提齣的算法具有較好的透明性和安全性;與其他方案相比,解決瞭虛警概率問題,且對于大部分的攻擊,具有更好的魯棒性能。
침대일류SVD역도상수인방안존재과고허경개솔적문제,제출료일충개진적혼합DWT화SVD적도상삼고수인산법。산법선대재체도상진행n층적리산소파변환,연후수궤선취제n층적부분혹전부자대형성삼고자대,병대삼고자대진행SVD분해;장Arnold치란처리후적수인감입도SVD분해후적기이치구진중。실험표명,제출적산법구유교호적투명성화안전성;여기타방안상비,해결료허경개솔문제,차대우대부분적공격,구유경호적로봉성능。
For the problem of high false-positive detection rate of a class of Singular Value Decomposition(SVD)based image watermarking scheme, an improved reference watermarking algorithm hybrid Discrete Wavelet Transform(DWT) and SVD is proposed. The host image is applied n-level DWT and selects any or all sub-bands to make reference image, and then performs SVD transform on the reference image. The gray watermarking is preprocessed by using Arnold trans-form and is embedded into the singular value matrix of SVD of reference image. Experimental results show that the pro-posed algorithm is secure and has good transparency. Compared with other schemes, it indicates that the algorithm can solve the problem of false-positive detection and robust against most common attacks.