Wavelet domain watermark embedding strategy using TTCQ quantization

Author(s):  
A. Makhloufi ◽  
A. Ouled Zaid ◽  
A. Bouallegue
2012 ◽  
Vol 6-7 ◽  
pp. 525-529
Author(s):  
Guang Xue Chen ◽  
Bao Lin Tang ◽  
Qi Feng Chen ◽  
Jing Lei Tai

In this paper, the key research was focused on the algorithm based on wavelet domain after analyzing and comparing several watermark algorithms. Disperse Wave Transform(DWT) watermark and Disperse Cosine Transform(DCT) watermark are both belong to transform domain technology, and they have more robustness than spatial-temporal domain technology, and DWT is superior to DCT. DWT can use the spatial-frequency characteristics of Human Visual System, and Mosaic will not appear in reconstruct image. DWT also can use image fusion technology to disperse watermark into multiple scales of carrier data, and got more robustness. In this paper, watermark embedding based on wavelet domain in which raster data are carrier was performed, then extracting and detecting watermark were done. Experiment results show that digital watermark based on wavelet domain will get better invisibility and robustness, and can be used in following the data by digital fingerprint.


2020 ◽  
Author(s):  
Yujian Zhuang ◽  
Xiaoyi Zhou ◽  
Sheng Liu

Abstract The existing robust digital watermarking schemes mainly embed information in the fixed positions or with fixed embedding strength, while seldom considering adaptive adjustment based on the characteristics of the cover image, thus it reduces the imperceptibility and the robustness of watermarking. Aiming at these issues, we propose a scheme which can be able to dynamically adjust the watermark embedding position and strength. Therefore, it guarantees the trade-off between robustness and imperceptibility. The appropriate embedding positions are dynamically selected for the watermark by comparing the image entropy, and the embedding strength of the image blocks are adaptively adjusted according to the entropy and the Just Noticeable Difference (JND) model in the Human Visual System (HVS)-based wavelet domain. Singular Value Decomposition (SVD) is performed on the image blocks to ensure the resistant ability of geometric attacks. The experimental results show that the scheme has good imperceptibility as well as strong robustness against various attacks. The robustness in common attacks is improved by at least 1% compared with similar watermarking schemes.


2013 ◽  
Vol 32 (2) ◽  
pp. 493-495
Author(s):  
Shuang WANG ◽  
Guang-qiu CHEN ◽  
Ya-ji SONG ◽  
Jun-xi SUN

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