Research of the Wavelet Transform Printing Forgery Prevention Algorithm Based on Chaotic Characteristics

2013 ◽  
Vol 469 ◽  
pp. 296-300
Author(s):  
Ya Qian Yuan ◽  
Guang Xue Chen
Keyword(s):  
Wavelet Transform ◽  
Digital Watermark ◽  
Experimental Result ◽  
Forgery Attack ◽  
K Value ◽  
Chaotic Mapping ◽  
Prevention System ◽  
The Stability ◽  
Watermark Algorithm ◽  
Wavelet Transforming

From the prospect of the printing forgery prevention technology, this paper systematically analyzed the principles of digital watermark in printing forgery prevention technology, based on this, it proposed wavelet transforming printing forgery prevention algorithm based on chaotic characteristics, in this paper, by using digital watermark image scrambling technology based on chaotic mapping to encrypt the wavelet transforming coefficient, then choose the different K value in chaotic mapping and the size of the scrambling image to combine the the cryptography technology and the wavelet transforming technology for resisting the various printing forgery attack effectively. In the end, the author made a detailed design about the wavelet transform printing forgery prevention system which based on chaotic characteristics and put it into fact by VC++, then validated the algorithm by experimental result, then compared it to the traditional watermark algorithm from the aspect of the image compression and anti attack ability to prove the stability and robustness of the algorithm this paper proposed.

Three-Dimensional Mesh Model Watermarking Algorithm

2012 ◽  
Vol 198-199 ◽  
pp. 1481-1486
Author(s):  
Xin Li ◽  
Yi Ping Tian
Keyword(s):  
Wavelet Transform ◽  
Copyright Protection ◽  
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.

A Novel Digital Watermark Algorithm Based on a Fingerprint Image

2015 ◽  
Vol 731 ◽  
pp. 173-178
Author(s):  
Xiao Hui Yang ◽  
Xin Chun Cui ◽  
Zhen Liang Cao ◽  
Zi Qiang Hu
Keyword(s):  
Digital Watermark ◽  
Curvelet Transform ◽  
Coefficient Matrix ◽  
Experimental Result ◽  
Fingerprint Image ◽  
Chaos Encryption ◽  
Noise Image ◽  
Chaos Sequence ◽  
Watermark Algorithm ◽  
Scale Coefficient

A fingerprint-based digital watermark algorithm for image processing is proposed. Firstly, the watermark is done the scrambling by the Arnold transform. Secondly, the digital watermarking is done the chaos encryption by the Tent chaos sequence. Thirdly, the original image is transformed by the discrete Curvelet transformation. Finally, the watermarking image is embedded into detail scale coefficient matrix of Curvelet transform. The experimental result demonstrated that watermarking extraction’s effect is acceptable. Moreover, severe image attacks such as noise, image crop and JPEG compression and so on are survived by the embedded watermarking.

A Wavelet-Based Digital Watermarking Algorithm for Packaging Security

2012 ◽  
Vol 200 ◽  
pp. 660-665
Author(s):  
Shi Wei Liu ◽  
Zhen Liu ◽  
Qing Bao Wei
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Digital Watermarking ◽  
Color Image ◽  
Digital Watermark ◽  
Jpeg Compression ◽  
Experimental Results ◽  
Discrete Wavelet ◽  
Point To Point ◽  
Watermark Algorithm

In this paper, a wavelet-based digital watermark algorithm for packaging security is proposed. In the algorithm, digital watermark is embedded in the color image CMYK mode, the method based on the discrete wavelet transform (DWT) can point to point semi-adaptive repeated embed digital watermark. Digital watermark that embedded in a color image can be extracted after printing, scanning and pre-processing the color image. The experimental results show that watermark extraction’s effect is acceptable, so the algorithm can achieve the purpose of the anti-counterfeiting for packaging printing. In addition the algorithm is robust enough against various kinds of attacks such as salt&pepper noise addition, JPEG compression, image crop and so on.

A NOVEL DIGITAL WATERMARK ALGORITHM BASED ON CHAOS, IMAGE ITERATION AND WAVELET TRANSFORM

2005 ◽  
pp. 119-127
Author(s):  
WEI ZHANG ◽  
WEIHUA ZHU ◽  
HUAQIAN YANG ◽  
PENGCHENG WEI ◽  
XIAOFENG LIAO
Keyword(s):  
Wavelet Transform ◽  
Digital Watermark ◽  
Watermark Algorithm

Processing of Sonar Image Based on Compressive Sensing

2011 ◽  
Vol 301-303 ◽  
pp. 719-723 ◽  
Author(s):  
Zhi Jing Xu ◽  
Huan Lei Dai ◽  
Pei Pei Cao
Keyword(s):  
Wavelet Transform ◽  
Matching Pursuit ◽  
Experimental Result ◽  
Underwater Acoustic Channel ◽  
Sonar Image ◽  
Underwater Image ◽  
Reconstruction Image ◽  
Observation Matrix ◽  
Efficient Transmission

The particularity of the underwater acoustic channel has put forward a higher request for collection and efficient transmission of the underwater image. In this paper, based on the characteristics of sonar image, wavelet transform is used to sparse decompose the image, and selecting Gaussian random matrix as the observation matrix and using the orthogonal matching pursuit (OMP) algorithm to reconstruct the image. The experimental result shows that the quality of the reconstruction image and PSNR have gained great ascension compared to the traditional compression and processing of image based on the wavelet transform while they have the same measurement numbers in the coding portion. It provides a convenient for the sonar image’s underwater transmission.

scholarly journals Hybrid K Mean Clustering Algorithm for Crop Production Analysis in Agriculture

2019 ◽  
Vol 9 (2S) ◽  
pp. 9-13
Keyword(s):  
Cluster Analysis ◽  
Precision Agriculture ◽  
Crop Production ◽  
Clustering Algorithm ◽  
Research Work ◽  
K Value ◽  
Clustering Technique ◽  
Production Analysis ◽  
Initial Cluster ◽  
The Stability

The proposed research work aims to perform the cluster analysis in the field of Precision Agriculture. The k-means technique is implemented to cluster the agriculture data. Selecting K value plays a major role in k-mean algorithm. Different techniques are used to identify the number of cluster value (k-value). Identification of suitable initial centroid has an important role in k-means algorithm. In general it will be selected randomly. In the proposed work to get the stability in the result Hybrid K-Mean clustering is used to identify the initial centroids. Since initial cluster centers are well defined Hybrid K-Means acts as a stable clustering technique.

Real-Time Vehicle License Plate Recognition Based on Scanning and 2D Haar Discrete Wavelet Transform

2013 ◽  
Vol 284-287 ◽  
pp. 2402-2406 ◽  
Author(s):  
Rong Choi Lee ◽  
King Chu Hung ◽  
Huan Sheng Wang
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Real Time ◽  
Recognition Rate ◽  
Low Frequency ◽  
Experimental Result ◽  
Discrete Wavelet ◽  
License Plate ◽  
License Plate Recognition ◽  
Image Pixels

This thesis is to approach license-plate recognition using 2D Haar Discrete Wavelet Transform (HDWT) and artificial neural network. This thesis consists of three main parts. The first part is to locate and extract the license-plate. The second part is to train the license-plate. The third part is to real time scan recognition. We select only after the second 2D Haar Discrete Wavelet Transform the image of low-frequency part, image pixels into one-sixteen, thus, reducing the image pixels and can increase rapid implementation of recognition and the computer memory. This method is to scan for car license plate recognition, without make recognition of the individual characters. The experimental result can be high recognition rate.

CVD Boron Carbo-Nitride as Pore Sealant for Ultra Low-K Interlayer Dielectrics

2005 ◽  
Vol 863 ◽  
Author(s):  
P. Ryan Fitzpatrick ◽  
Sri Satyanarayana ◽  
Yangming Sun ◽  
John M. White ◽  
John G. Ekerdt
Keyword(s):  
Photoelectron Spectroscopy ◽  
Depth Profiling ◽  
Chemical Vapor ◽  
K Value ◽  
X Ray ◽  
Dimethylamine Borane ◽  
The Stability ◽  
Low K ◽  
Secondary Ion ◽  
Sims Depth Profiling

AbstractBlanket porous methyl silsesquioxane (pMSQ) films on a Si substrate were studied with the intent to seal the pores and prevent penetration of a metallic precursor during barrier deposition. The blanket pMSQ films studied were approximately 220 nm thick and had been etched and ashed. When tantalum pentafluoride (TaF5) is exposed to an unsealed pMSQ sample, X-ray photoelectron spectroscopy (XPS) depth profiling and secondary ion mass spectroscopy (SIMS) depth profiling reveal penetration of Ta into the pores all the way to the pMSQ / Si interface. Boron carbo-nitride films were grown by thermal chemical vapor deposition (CVD) using dimethylamine borane (DMAB) precursor with Ar carrier gas and C2H4 coreactant. These films had a stoichiometry of BC0.9N0.07 and have been shown in a previous study to have a k value as low as 3.8. BC0.9N0.07 films ranging from 1.8 to 40.6 nm were deposited on pMSQ and then exposed to TaF5 gas to determine the extent of Ta penetration into the pMSQ. Ta penetration was determined by XPS depth profiling and sometimes SIMS depth profiling. XPS depth profiling of a TaF5 / 6.3 nm BC0.9N0.07 / pMSQ / Si film stack indicates the attenuation of the Ta signal to < 2 at. % throughout the pMSQ. Backside SIMS of this sample suggests that trace amounts of Ta (< 2 at. %) are due to knock-in by Ar ions used for sputtering. An identical film stack containing 3.9 nm BC0.9N0.07 was also successful at inhibiting Ta penetration even with a 370°C post-TaF5 exposure anneal, suggesting the stability of BC0.9N0.07 to thermal diffusion of Ta. All BC0.9N0.07 films thicker than and including 3.9 nm prevented Ta from penetrating into the pMSQ.

scholarly journals Pose Prediction of Autonomous Full Tracked Vehicle Based on 3D Sensor

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5120 ◽  
Author(s):  
Tao Ni ◽  
Wenhang Li ◽  
Hongyan Zhang ◽  
Haojie Yang ◽  
Zhifei Kong
Keyword(s):  
Real Time ◽  
Autonomous Vehicles ◽  
Experimental Result ◽  
Pose Prediction ◽  
Tracked Vehicle ◽  
Position Information ◽  
Cloud Data ◽  
Uneven Terrain ◽  
The Stability ◽  
Safety And Stability

Autonomous vehicles can obtain real-time road information using 3D sensors. With road information, vehicles avoid obstacles through real-time path planning to improve their safety and stability. However, most of the research on driverless vehicles have been carried out on urban even driveways, with little consideration of uneven terrain. For an autonomous full tracked vehicle (FTV), the uneven terrain has a great impact on the stability and safety. In this paper, we proposed a method to predict the pose of the FTV based on accurate road elevation information obtained by 3D sensors. If we could predict the pose of the FTV traveling on uneven terrain, we would not only control the active suspension system but also change the driving trajectory to improve the safety and stability. In the first, 3D laser scanners were used to get real-time cloud data points of the terrain for extracting the elevation information of the terrain. Inertial measurement units (IMUs) and GPS are essential to get accurate attitude angle and position information. Then, the dynamics model of the FTV was established to calculate the vehicle’s pose. Finally, the Kalman filter was used to improve the accuracy of the predicted pose. Compared to the traditional method of driverless vehicles, the proposed approach was more suitable for autonomous FTV. The real-world experimental result demonstrated the accuracy and effectiveness of our approach.

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