A Blind Watermark Algorithm in Mixed Transform Domain Based on Chaotic Sequence Locating

2008 ◽  
Author(s):  
Jing Liu ◽  
Fei Gao ◽  
Hui Zhang
Keyword(s):  
Chaotic Sequence ◽  
Transform Domain ◽  
Watermark Algorithm

scholarly journals Research into Digital Watermark Algorithm Based on Wavelet Domain

2012 ◽  
Vol 6-7 ◽  
pp. 525-529
Author(s):  
Guang Xue Chen ◽  
Bao Lin Tang ◽  
Qi Feng Chen ◽  
Jing Lei Tai
Keyword(s):  
Spatial Frequency ◽  
Multiple Scales ◽  
Digital Watermark ◽  
Transform Domain ◽  
Wavelet Domain ◽  
Fusion Technology ◽  
Temporal Domain ◽  
Watermark Embedding ◽  
Digital Fingerprint ◽  
Watermark Algorithm

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.

A Study on the Performance of Watermarking Algorithm Based on DCT

2013 ◽  
Vol 846-847 ◽  
pp. 1040-1043
Author(s):  
Hou Xiao Fang ◽  
Zhu Peng Hua
Keyword(s):  
Experimental Data ◽  
Digital Watermarking ◽  
Algorithm Design ◽  
Chaotic Sequence ◽  
Substantial Influence ◽  
Image Perception ◽  
Dct Domain ◽  
Watermark Embedding ◽  
Watermark Algorithm

Based on DCT domain, this paper presents a digital watermarking algorithm, which combines luminance masking threshold characteristics of Watson and controls the watermark embedding position through transforming the chaotic sequence so that the watermark has better robustness and imperception. For watermark algorithm of the same kind, the values assigned to some factors could bring substantial influence to the watermarking system. This article primarily analyzes these factors which affect the performance of the watermarking system through the quality of image perception and robustness, provides specific experimental data, and explains the importance of the assignment of these values in algorithm design. This article employs two kinds of watermark information carriers which can precisely explain the problem and evaluate the performance of the watermarking system.

A Print-Scan Resilient Image Watermarking Scheme Based on Radon Transform

2014 ◽  
Vol 687-691 ◽  
pp. 3812-3817
Author(s):  
Yong Gang Fu
Keyword(s):  
Radon Transform ◽  
Image Watermarking ◽  
Chaotic Sequence ◽  
Transform Domain ◽  
Original Image ◽  
Image Simulation ◽  
Block Dct ◽  
Simulation Results ◽  
Watermarking Scheme ◽  
The Relationship

In this paper, a print-scan resilient image watermarking scheme based on Radon transform and DCT(discrete cosine transform) is proposed. The watermark is preprocessed with a chaotic sequence, then the host image is transformed to frequency domain by block DCT. The preprocessed watermark is adaptively embedded into the transform domain coefficients by modulating the relationship between neighbor coefficients. The watermark detection process is accomplished without referring to the original image. Simulation results show good robustness against several attacks, such Jpeg compression, cropping, filtering and so on.

Application of Chaotic Neural Network and 3D DWT-DFT in Medical Volume Data Watermarking

2013 ◽  
Vol 411-414 ◽  
pp. 1209-1212
Author(s):  
Bao Ru Han ◽  
Jing Bing Li ◽  
Liang Zong
Keyword(s):  
Neural Network ◽  
Digital Watermarking ◽  
Chaotic Sequence ◽  
Experimental Results ◽  
Transform Domain ◽  
Volume Data ◽  
Chaotic Neural Network ◽  
3D Dwt ◽  
Multi Level

This paper proposes a digital watermarking method for the protection of medical volume data based on chaotic neural network and 3D DWT-DFT. In order to improve the security of digital watermarking, it uses chaotic sequence for scrambling .The chaotic sequence is generated by chaotic neural network. It makes full use of multi-level decomposition characteristics of 3D DWT-DFT, embedding watermark in the transform domain. The experimental results show that the method can resist filtering and rotation attacks, which has good robustness.

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