Research on applied technology in blind and shape-preserving watermarking of vector map data using variable quantization step

This paper explored the applied technology in vector map data watermarking and proposes. a blind and shape-preserving watermarking model by inserting the watermark information into the curve shape characteristic set using quantized index modulation (QIM) based on variable quantization step. At the same time, the watermark bits scatter across the whole dataset by Hash mapping and bits repeated insertion. Results show that the curve shape distortions have been well controlled, and Robustness to the threatening watermark attacks, such as vertex attack, data simplification, feature deletion and so on, has been proved.