Based on quaternion Hadamard transform (QHT) and Schur decomposition, a novel color image watermarking scheme is presented. To consider the correlation between different color channels and the significant color information, a new color image processing tool termed as the quaternion Hadamard transform is proposed. Then an efficient method is designed to calculate the QHT of a color image which is represented by quaternion algebra, and the QHT is analyzed for color image watermarking subsequently. With QHT, the host color image is processed in a holistic manner. By use of Schur decomposition, the watermark is embedded into the host color image by modifying the Q matrix. To make the watermarking scheme resistant to geometric attacks, a geometric distortion detection method based upon quaternion Zernike moment is introduced. Thus, all the watermark embedding, the watermark extraction and the geometric distortion parameter estimation employ the color image holistically in the proposed watermarking scheme. By using the detection method, the watermark can be extracted from the geometric distorted color images. Experimental results show that the proposed color image watermarking is not only invisible but also robust against a wide variety of attacks, especially for color attacks and geometric distortions.

Color image watermarking scheme based on quaternion Hadamard transform and Schur decomposition

Due to the extensive use of digital media applications, multimedia security and copyright protection has gained tremendous importance. Digital Watermarking is a technology used for the copyright protection of digital applications. In this paper, a comprehensive approach for watermarking digital video is introduced. We propose a hybrid digital video watermarking scheme based on Discrete Wavelet Transform (DWT) and Principal Component Analysis (PCA). PCA helps in reducing correlation among the wavelet coefficients obtained from wavelet decomposition of each video frame thereby dispersing the watermark bits into the uncorrelated coefficients. The video frames are first decomposed using DWT and the binary watermark is embedded in the principal components of the low frequency wavelet coefficients. The imperceptible high bit rate watermark embedded is robust against various attacks that can be carried out on the watermarked video, such as filtering, contrast adjustment, noise addition and geometric attacks.

http://www.kresttechnology.com/krest-academic-projects/krest-major-projects/ECE/B-Tech%20Papers/19.pdf

Digital Video Watermarking using Discrete Wavelet Transform and Principal Component Analysis

A Semi Blind DWT-SVD Video Watermarking☆

Recent developments in digital image and Internet technology help the common users to easily produce illegal copies of the images. In order to solve the copyright protection problems of the image, several watermarking schemes have been widely used. Very few watermarking schemes have been proposed for defining the copyrights of color image. To resolve the copyright protection problem of color image, we propose an effective, robust and imperceptible color image watermarking scheme. This scheme embeds the watermark into cover image in (Red, Green, Blue) RGB space. The combinations of Discrete Wavelet Transformation (DWT) and Singular Value Decomposition (SVD) of Blue channel is used to embed the watermark. The singular values of different subband coefficients of Blue channel are modified using different scaling factors to embed the singular values of the watermark. The copy of the watermark is embedded into four subband coefficients which is very difficult to remove or destroy. The combinations of DWT and SVD increases the security, robustness and imperceptibility of the scheme.

Non-blind watermarking scheme for color images in RGB space using DWT-SVD

Video copyright is the technique for hiding sensitive data in digital video. This paper aims to introduce a new technique for video copyright namely Fibonacci based keyframe selection and scrambling for video watermarking in DWT---SVD. In this methodology, scene change detection technique is employed for identifying frequent changes in the scenes. In a specific frame, each scene is selected by using keyframes, which are generated by Fibonacci sequence. The initial seeds of the Fibonacci sequence are used as authentication key for generating keyframes. Based on the limitations of the scene changes the authentication keys are generated. The watermark is embedded only in specific frame of the changed scene in LH sub band. The secret image is scrambled using Fibonacci---Lucas transform. In embedding process, singular values (SVs) of the scrambled watermark block are added to the SVs of specific frames, produce the watermarked video collectively. In extraction phase, SVD is performed on the watermarked video to extract the scrambled watermark block from key frames. After that the extracted watermark blocks are collected together to yield the complete scrambled watermark. Later it is descrambled by using the secret keys to generate the original watermark. This method is blind since the host video is not required to extract the watermark. The experimental results show that the proposed methodology resists different image and video processing attacks. In addition, the proposed methodology improves the robustness and quality of both host video and watermark.

Fibonacci Based Key Frame Selection and Scrambling for Video Watermarking in DWT---SVD Domain

Video watermarking is relatively a new technology that has been proposed to solve the problem of illegal manipulation and distribution of digital video It is the process of embedding copyright information in video bit streams In this paper, we propose two effective, robust and imperceptible video watermarking algorithms The two algorithms are based on the algebraic transform of Singular Value Decomposition (SVD) In the first algorithm, watermark bit information are embedded in the SVD-transformed video in a diagonal-wise fashion, and in the second algorithm bits are embedded in a blocks-wise fashion The performance of the two proposed algorithms was evaluated with respect to imperceptibility, robustness and data payload Both algorithms showed similar but high level of imperceptibility, however their performance varied with respect to robustness and payload The diagonal-wise based algorithm achieved better robustness results, while the block-wise algorithm gave higher data payload rate

Video Watermarking Algorithms Using the SVD Transform

Problem statement: Video watermarking is well known as the process of embedding copyright information in video bit streams. It had been proposed in recent years to solve the problem of illegal manipulation and distribution of digital video. Approach: In this study, an effective, robust and imperceptible video watermarking algorithm was proposed. This algorithm was based on a cascade of two powerful mathematical transforms; Discrete Wavelets Transform (DWT) and Singular Value Decomposition (SVD). Two different transform domain techniques showed high level of complementary and different levels of robustness against the same attack will be achieved through their combination. Results: The proposed algorithm was tested against imperceptibility and robustness and excellent results were obtained. Conclusion: Experimental results demonstrate the robustness achieved by combining the two transforms.

/pdf/a-robust-video-watermarking-algorithm-36wqylinyi.pdf

A Robust Video Watermarking Algorithm

Digital watermarking is one of the most powerful tools used in ownership and copyrights protection in digital media. This paper presents a blind digital video watermarking technique based on a combination scheme between the Discrete Wavelet transform in (DWT) and the real Schur Decomposition. The scheme starts with applying two-level DWT to the video scene followed by Schur decomposition in which the binary watermark bits are embedded in the resultant block upper triangular matrix. The proposed technique shows high efficiency due to the use of Schur decomposition which requires fewer computations compared to other transforms. The imperceptibility of the scheme is also very high due to the use of DWT transform; therefore, no visual distortion is noticed in the watermarked video after embedding. Furthermore, the technique proves to be robust against set of standard attacks like: Gaussian, salt and pepper and rotation and some video attacks such as: frame dropping, cropping and averaging. Both capacity and blindness features are also considered and achieved in this technique.

/pdf/a-blind-dwt-schur-based-digital-video-watermarking-technique-2npjxl3267.pdf

A Blind DWT-SCHUR Based Digital Video Watermarking Technique

Video watermarking is a relatively new technology that has been proposed to solve the problem of illegal manipulation and distribution of digital video. By virtue of this technology, copyright information is embedded in the video data to provide ownership verification. In this paper, we propose an effective, robust, and imperceptible video watermarking algorithm. The effectiveness of algorithm is brought by virtue of applying a cascade of two powerful mathematical transforms; the discrete wavelets transform (DWT) and the singular value decomposition (SVD). Reported experimental results demonstrate the effectiveness of the proposed algorithm.

Hybrid DWT-SVD video watermarking

The tremendous advancement of digital technology has increased the ease with which digital multimedia signals (image, video, audio) are stored, transmitted, and reproduced. Consequently, the content providers and owners are faced with problems of protection against copyright violation and other forms of abuse to their digital property. Digital watermarking has been proposed in the last decade as a solution to prevent illegal and malicious copying and distribution of digital media by embedding an unnoticeable information into the media content. This chapter describes three imperceptible and robust watermarking algorithms for different types of multimedia objects (image, video, audio). The three algorithms are based on cascading two powerful mathematical transforms; the Discrete Wavelet Transform (DWT), and the Singular Value Decomposition (SVD). The two transforms are different, and thus provide complementary levels of robustness against the same attack. In the proposed dual-transform algorithms, the watermark bits are not embedded directly on the wavelet coefficients, but rather on the elements of singular values of the DWT sub-bands of the multimedia object. Effectiveness of the proposed algorithms is demonstrated through extensive experimentation. DOI: 10.4018/978-1-61520-903-3.ch010

Tahani Al-Khatib

Papers

Video Watermarking Algorithms Using the SVD Transform

A Robust Video Watermarking Algorithm

A Blind DWT-SCHUR Based Digital Video Watermarking Technique

Hybrid DWT-SVD video watermarking

A Unified Approach Towards Multimedia Watermarking