A multiple blind watermark algorithm based on spatial and wavelet domain

Author(s):  
Quan Liu ◽  
Yong Su
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.


2013 ◽  
Vol 756-759 ◽  
pp. 3298-3302
Author(s):  
Si Yu Lai ◽  
Juan Wang

Analyze a human visual model based wavelet domain digital watermark algorithm and improved it. First conduct multi-level wavelet decomposition on original image and modify medium frequency coefficient, and then adapt the algorithm to embed the watermark into the source image. The experiment shows that the watermark embedded image enjoys better imperceptibility and robustness to JPEG compression, add gaussian noise, contrast enhancement e.t. traditional image processing operations.


2012 ◽  
Vol 157-158 ◽  
pp. 1346-1349 ◽  
Author(s):  
Yong Qi Wang ◽  
Chen Deng

This paper proposed an audio watermark algorithm with synchronization in wavelet domain based on support vector machine. The synchronization code and encrypted digital watermark are embedded into the low frequency coefficients in DWT domain by using quantization modulation, the image watermark and the synchronization code are extracted through SVM possessing two-class problem. The experimental results show that the audio watermarking scheme is inaudible, but also robust against noise adding, filtering, random cropping attacks.


2013 ◽  
Vol 32 (8) ◽  
pp. 2265-2267
Author(s):  
Shu WANG ◽  
Min-qing ZHANG ◽  
Jun-wei SHEN ◽  
Hai-yan XIAO

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

2018 ◽  
Vol 13 (5) ◽  
pp. 553-563 ◽  
Author(s):  
Xiaolei Zhang ◽  
Guishan Zhang ◽  
Yangjiang Yu ◽  
Guocheng Pan ◽  
Haitao Deng ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document