Research into Digital Watermark Algorithm Based on Wavelet Domain

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.

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Three-Dimensional Mesh Model Watermarking Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.198-199.1481 ◽

2012 ◽

Vol 198-199 ◽

pp. 1481-1486

Author(s):

Xin Li ◽

Yi Ping Tian

Keyword(s):

Wavelet Transform ◽

Control Point ◽

Three Dimensional ◽

Digital Watermark ◽

Two Dimensional ◽

Mesh Model ◽

Watermark Embedding ◽

Three Dimensional Models ◽

Watermark Algorithm

Watermark information is embedded in three-dimensional mesh model through three-dimensional watermarking algorithm for effective copyright protection. The widely use of three-dimensional grid model attracts more attention on the copyright protection. The digital watermark algorithm with the NURBS model based on the wavelet transform aims to get the virtual grayscale images using the control point coordinate. Then we can embed the watermark into the virtual gray image watermark. It can change the three-dimensional models into two-dimensional images. And this algorithm can enhance the operability and simplicity of the watermark embedding. Experiments show that the proposed algorithm is easy to implement, simple in principle, and the extracted watermark is clearly visible, moreover, the model does not need to be directly modified, so it has good robustness. Watermarked model does not change in the visual, it has good invisibility.

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Algorithm of Digital Watermark Based on Wavelet

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.756-759.3298 ◽

2013 ◽

Vol 756-759 ◽

pp. 3298-3302

Author(s):

Si Yu Lai ◽

Juan Wang

Keyword(s):

Wavelet Decomposition ◽

Digital Watermark ◽

Source Image ◽

Wavelet Domain ◽

Visual Model ◽

Multi Level ◽

Embedded Image ◽

Watermark Algorithm ◽

Human Visual Model ◽

Traditional Image

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.

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An Audio Watermark Algorithm in Wavelet Domain Based on SVM

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.157-158.1346 ◽

2012 ◽

Vol 157-158 ◽

pp. 1346-1349 ◽

Cited By ~ 1

Author(s):

Yong Qi Wang ◽

Chen Deng

Keyword(s):

Support Vector Machine ◽

Low Frequency ◽

Digital Watermark ◽

Experimental Results ◽

Support Vector ◽

Wavelet Domain ◽

Image Watermark ◽

Audio Watermark ◽

Watermarking Scheme ◽

Watermark Algorithm

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.

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