A novel blind digital watermarking algorithm based on quantization for Jiaguwen rubbing image in Contourlet domain

We present a novel blind digital watermarking algorithm using the quantization for Jaguwen rubbing image based on Contourlet transform in this paper. After Contourlet transform, original image is decomposed into a series of multiscale, local and directional subimages. Select the low frequency subband as the watermarking embedding domain. At the same time, the original binary watermark is firstly scrambled by two-dimensional Arnold transform, and then embedded into the selected points. Then the coefficients of low frequency sub-band are modified using the quantization. The retrieving watermark algorithm is a blind detecting process, and it does not need original image. The experimental results show that the proposed watermarking algorithm is able to resist attacks, such as JPEG compression, noising, cropping and other attacks, and the watermarking is invisible and robust.