Abstract: According to the contradiction between the robustness and imperceptibility of database watermarks，a robust blind watermarking algorithm based on wavelet transformation is put forward.By screening programming，the algorithm screens the candidate attributes which can embed watermarks，and splits and re-ranges the subset，and then respectively DWT transforms the subset data and the scrambling watermarking images.With the condensation algorithm，the low-frequency part of the watermark is condensed and embedded into the high-frequency part of the subset data，so as to achieve the mergence of watermarks and original data.Theoretical analyses and experiments show that this algorithm possesses strong robustness and good invisibility.

摘要： 针对数据库水印鲁棒性与不可感知性的矛盾，提出了一种基于小波变换（DWT）的数据库鲁棒性盲水印算法。算法首先利用筛选算法筛选出可嵌入水印的候选属性，并进行子集分割与重排，然后分别对子集数据、置乱水印图像进行DWT变换，通过压缩算法将水印低频部分压缩后嵌入到子集数据的高频部分，实现水印与原始数据的融合。理论分析和实验表明，该算法具有较强的鲁棒性和较好的不可见性。