Abstract: In this paper, based on an embedding strategy for watermarking in DWT domain, the influence of characteristics of orthogonal wavelet for the robustness of watermarking and the selection of wavelet bases are mainly investigated. The results show the features like regularity, number of vanishing moments, filter length and the degree of energy collecting in the low frequency subband do not have any important impact on the robustness for watermarking. Meanwhile a significant conclusion that wavelet Haar is the most suitable for digital watermarking is got. Wavelet decomposed levels and watermarking embedding formula are also addressed.