A Novel Blind Digital Watermarking Algorithm based on Quantization for Jiaguwen Rubbing Image in Contourlet Domain

摘要：

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.

作者: Xiaohu Ma Jingjing Wei Yanqi Tan Yaying Zhao

作者单位: School of Computer Science and Technology, Soochow University Suzhou, 215006,China

会议类型: 国际会议

会议名称: 2010 International Conference on Audio,Language and Image Processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)

会议地点: 上海

会议语种:英文

页码: 103-107

在线出版日期: 2010-11-23（万方平台首次上网日期，不代表论文的发表时间）