According to the balancing problem of the robustness and invisibility, a new digital watermarking technology for quick response (QR) code based on Tetrolet transform and singular value decomposition (SVD) is proposed. At first, the energy information of the QR code image is concentrated in Tetrolet coefficient using Tetrolet transform. And then, the coefficient is decomposed by SVD. At end, the watermarking embedding is completed by embedding the scrambling encryption watermarking image to the singular value matrix. The simulation results show that this algorithm can effectively resist noise attacks of Gauss, salt and pepper and multiplicative. It also can resist geometric attacks of rotation, shear and translation. This algorithm can effectively improve the ability to resist noise and geometric attacks, achieve the balance between the robustness and invisibility of the digital watermarking system in the prerequisite with the image without distortion. It shows a high practicability.