A Kind of DWT Domain Image Digital Watermarking Algorithm Research

2014 ◽  
Vol 1044-1045 ◽  
pp. 991-994
Author(s):  
Tao Liu
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Frequency Domain ◽  
Digital Watermarking ◽  
Wavelet Decomposition ◽  
Low Frequency ◽  
Discrete Wavelet ◽  
Original Image ◽  
Adaptive Watermarking ◽  
Frequency Domain Methods

An image-adaptive watermarking algorithm based on wavelet transform was proposed. At first, A digital image used as watermarking was scrambled. Next, the original image was decomposed by discrete wavelet transform,and in accordance with the characteristics of human visual system, wavelet decomposition in the low-frequency domain, Methods which average of adjacent domain instead of single wavelet decomposition coefficients was used to estimate and quantitative, watermarking was adaptively embedded in wavelet coefficients of low-frequency domain. At last, the simulation experimental results show that the algorithm for a variety of conventional image processing has good robustness.

scholarly journals Discrete wavelet transform processing system based on digital watermarking algorithm

2021 ◽  
Vol 2083 (4) ◽  
pp. 042075
Author(s):  
Miao Shi
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Digital Watermarking ◽  
Basic Principle ◽  
Low Frequency ◽  
Processing System ◽  
Discrete Wavelet ◽  
Noise Interference ◽  
Arnold Scrambling

Abstract This paper introduces the concept of multimedia digital watermarking and summarizes the current technology status. This paper summarizes the research status and basic principle of digital watermarking. The advantages of digital watermarking algorithm based on wavelet transform are analyzed. The proposed algorithm combines Arnold scrambling method and DWT transform multi-resolution characteristics, and adopts linear and different embedding strength methods. Effectively improve the security of the watermark. According to the classification results, different intensity watermarking components are embedded into the DCT low frequency coefficients of different image blocks. Experimental results show that this algorithm has strong masking and robustness, and the watermarking realized by using the proposed algorithm has good robustness against common image processing and noise interference.

Simultaneous Least Squares Wavelet Decomposition for Multidimensional Irregularly Spaced Data

2012 ◽  
Vol 239-240 ◽  
pp. 1213-1218 ◽  
Author(s):  
Mehdi Shahbazian ◽  
Saeed Shahbazian
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Wavelet Decomposition ◽  
Least Square ◽  
Multidimensional Case ◽  
Discrete Wavelet ◽  
Two Dimensional ◽  
Wavelet Coefficients ◽  
Sampled Data ◽  
Irregularly Sampled Data

The multidimensional Discrete Wavelet Transform (DWT) has been widely used in signal and image processing for regularly sampled data. For irregularly sampled data, however, other techniques should be used including the Least Square Wavelet Decomposition (LSWD). The commonly used level by level (sequential) wavelet decomposition, which calculates the wavelet coefficients in each resolution separately, may result in a gross interpolation error. To overcome this drawback, a different approach called the Simultaneous Least Square Wavelet Decomposition, which computes all wavelet coefficients simultaneously, have been proposed by the authors. In this paper, we extend the simultaneous LSWD approach to the multidimensional case and show that this method has excellent reconstruction property for two dimensional irregularly spaced data.

scholarly journals Blind Adaptive Watermarking Based on Wavelet Transform and HVS

2012 ◽  
pp. 280-285
Author(s):  
T Mita Kumari
Keyword(s):  
Wavelet Transform ◽  
Copyright Protection ◽  
Discrete Wavelet ◽  
Original Image ◽  
Image Simulation ◽  
Adaptive Watermarking ◽  
Blind Adaptive ◽  
Simulation Results ◽  
Watermarking Scheme ◽  
Blind Image

This paper proposes a novel blind image adaptive watermarking scheme in Discrete Wavelet Transform (DWT) domain for copyright protection or robust tagging applications. Watermarking scheme effectively utilizes the contrast sensitivity model of Human Visual System (HVS) to embed the watermark adaptively without degradation of the original image. Watermark can be extracted without referring to the original image. Simulation results show the robustness of the proposed algorithm against various attacks.

A Bit-Decomposition Adaptive Watermarking Algorithm Based on the Multi-Polar Mask

2011 ◽  
Vol 467-469 ◽  
pp. 912-917
Author(s):  
Le Zhang ◽  
Quan Liu ◽  
Qi Ming Fu ◽  
Xiao Yan Wang
Keyword(s):  
Image Processing ◽  
Digital Watermarking ◽  
Image Data ◽  
Visual Quality ◽  
Human Vision ◽  
Original Image ◽  
Hidden Information ◽  
Geometric Attacks ◽  
Binary Images ◽  
Adaptive Watermarking

Traditional digital watermarking usually adopts the gray image as hidden information, more embedded information result in largely modifying more image data. Binary image can guarantee good affection of human vision, a bit-decomposition adaptive watermarking algorithm based on the mask is proposed. According to the superiority of binary, classifying binary images to three kinds of sub graph (High, Middle, and Low-sub graph); multi-masks are constructed by the importance of different sub graphs and cover the original image. Experimental results demonstrate the proposed scheme not only has better visual quality, but also is very robust to common image processing and geometric attacks.

Condition Monitoring of Marine Couplings by Means of Vibration Analysis Techniques

2013 ◽  
Author(s):  
Simone Delvecchio ◽  
Gianluca D’Elia ◽  
Giorgio Dalpiaz
Keyword(s):  
Wavelet Transform ◽  
Frequency Domain ◽  
Vibration Analysis ◽  
Angular Speed ◽  
Experimental Comparison ◽  
Discrete Wavelet ◽  
Propeller Shaft ◽  
Frequency Domain Methods ◽  
Different Types ◽  
Marine Diesel

This paper shows the application of some processing techniques for the vibration analysis in working conditions of two different types of marine flexible couplings for boat propulsion. The flexible couplings are mounted between the flywheel of the marine diesel engine and the propeller shaft. The vibration signals are processed in time and frequency domain. Moreover, due to the presence of impulses in the signals, Continuous (CWT) and Discrete Wavelet Transform (DWT) are applied and compared with the conventional time and frequency domain methods. In this work the wavelet analysis is used for the impulse component extraction and the choice of different wavelet functions for this purpose is evaluated. The experimental comparison between two different types of couplings is also given. The results suggest that the wavelet transform techniques are effective to indicate which type of coupling provides a good vibrational behaviour especially in working condition when the angular speed of the propeller shaft is often inverted.

Research on Digital Watermarking Algorithm Based on Discrete Wavelet Transform and Singular Value Decomposition

2015 ◽  
Vol 713-715 ◽  
pp. 1843-1846
Author(s):  
Yan Yu Wang
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Digital Watermarking ◽  
Singular Values ◽  
Discrete Wavelet ◽  
Watermark Image ◽  
Original Image ◽  
Host Image ◽  
Important Means ◽  
Value Decomposition

Digital watermarking technology has become an important means of integrity and respect for people's authenticity, as well as users of copyright and intellectual property security and other interests such as the protection of digital works. In this paper, we proposed a watermarking algorithm based on discrete wavelet transform (DWT) of image and singular valued composition (SVD). The original image is decomposed with DWT,the watermarking image is decomposed with SVD after chaotic scrambling,and then the singular values of watermarking are embedded into some coefficients of decomposed original image. In this algorithm, after decomposing the original host image into four bands, we apply the SVD to watermark image,and modify DWT coefficients of the host image with the singular values of the watermark image. The outstanding features of the proposed algorithm are that it provides larger watermarking capacity and is more robust than others.

Digital Watermarking Based on Wavelet and Chaotic Mapping

2014 ◽  
Vol 519-520 ◽  
pp. 520-523
Author(s):  
Yuan Song ◽  
Bo Zhou ◽  
Guo Jun Zhou
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Digital Watermarking ◽  
Frequency Band ◽  
Image Watermarking ◽  
Chaotic Sequence ◽  
Experimental Results ◽  
Discrete Wavelet ◽  
Original Image ◽  
Chaotic Mapping

An algorithm of wavelet digital watermarking was proposed to improve the security of the watermark. First, the logistic chaotic sequence was used to generate an encrypted image watermarking, then discrete wavelet transform (DWT) was used to decompose the original image and the watermark was embedded into the selected frequency band of significant wavelet coefficients. Finally, an approach for extraction was adopted. Experimental results show that the watermark is robust to attacks if the chaotic key is unknown.

scholarly journals Diagnosis of Encephalopathy Based on Energies of EEG Subbands Using Discrete Wavelet Transform and Support Vector Machine

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Jisu Elsa Jacob ◽  
Gopakumar Kuttappan Nair ◽  
Thomas Iype ◽  
Ajith Cherian
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Wavelet Decomposition ◽  
Support Vector ◽  
Svm Classifier ◽  
Discrete Wavelet ◽  
Eeg Analysis ◽  
Biomedical Signal ◽  
Time Frequency ◽  
Frequency Domain Methods

EEG analysis in the field of neurology is customarily done using frequency domain methods like fast Fourier transform. A complex biomedical signal such as EEG is best analysed using a time-frequency algorithm. Wavelet decomposition based analysis is a relatively novel area in EEG analysis and for extracting its subbands. This work aims at exploring the use of discrete wavelet transform for extracting EEG subbands in encephalopathy. The subband energies were then calculated and given as feature sets to SVM classifier for identifying cases of encephalopathy from normal healthy subjects. Out of various combinations of subband energies, energy of delta subband yielded highest performance parameters for SVM classifier with an accuracy of 90.4% in identifying encephalopathy cases.

A WAVELET-BASED BLIND IMAGE DATA EMBEDDING ALGORITHM

2008 ◽  
Vol 17 (01) ◽  
pp. 107-122 ◽  
Author(s):  
MOHAMED S. YASEIN ◽  
PAN AGATHOKLIS
Keyword(s):  
Image Processing ◽  
Wavelet Transform ◽  
Error Detection ◽  
Image Data ◽  
Digital Data ◽  
Discrete Wavelet ◽  
Transform Domain ◽  
Data Embedding ◽  
Original Image ◽  
Blind Image

In this paper, an algorithm for data embedding in images is proposed. The algorithm is based on using the Discrete Wavelet Transform domain to embed digital data into images. In order to increase the algorithm robustness and ensure the authentication of the data extracted, error detection/correction coding techniques are used to encode the embedded data. The proposed algorithm is blind, i.e., the embedded data are extracted and authenticated without any reference to the original image or data. Experimental results demonstrate the low perceptibility of distortions caused by the data embedding and the high algorithm robustness against several common image-processing operations.

scholarly journals Digital watermarking algorithm based on 4-level discrete wavelet transform and discrete fractional angular transform

2021 ◽  
Vol 51 (4) ◽  
Author(s):  
Jing-You Li ◽  
Chun-Hui Zhao ◽  
Guang-Da Zhang
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Digital Watermarking ◽  
Wavelet Decomposition ◽  
Optical Bistability ◽  
Discrete Wavelet ◽  
Medium Frequency ◽  
Geometric Transformations ◽  
Transform Coefficients ◽  
Point Detection

Nowadays, there are many watermarking algorithms based on wavelet transform. The simple one is to insert directly the watermark into the wavelet transform coefficients. However, most of the existing watermarking schemes can only resist traditional signal processing attacks, such as image compression, noise and filtering. When the watermarked image is subject to geometric transformations, especially rotation attack, it is hard to detect the watermark successfully. In this paper, a digital watermarking algorithm is proposed based on 4-level discrete wavelet transform and discrete fractional angular transform. To enhance the security of the algorithm, the watermark is scrambled with the simplicity of Arnold transform and chaos-based mix optical bistability model, since the chaos is pseudorandom and sensitive to the initial values. And the watermark is embedded into the medium frequency sub-band of the 1-level wavelet decomposition according to the Harris feature point detection. Simulation results show that the proposed digital watermarking algorithm by combining 4-level discrete wavelet transform with discrete fractional angular transform could resist rotation attack and other common attacks.

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