A blind robust watermarking algorithm based on Logistic chaotic mapping and integer wavelet transform（ IWT）-singular value decomposition（ SVD） quantization is proposed in order to enhance robustness and position security of the embedded watermark. Binary watermarking image scrambling is carried out using Arnold transform.The original host image is divided into 8 × 8 blocks

and the image blocks to be embedded with watermark bits are selected by using Logistic chaotic sequence

which can enhance the position security of the embedded watermark.The selected image blocks are transformed by IWT

and the coefficients of two-level low-frequency subbands are decomposed with SVD. The scrambling watermark information is embedded into those coefficients. During the watermark extraction

the algorithm does not require original host image

which realizes blind extraction of watermark

which makes the algorithm more practical. Simulation results show that the proposed algorithm is robust in conventional image processing operations

compression attacks and shear attacks.