Digital Watermarking Algorithm Research Articles

Research on Digital Watermark Algorithm based on Compression Perception

Research on Digital Watermark Algorithm based on Compression Perception

A watermarking algorithm in encrypted image based on compressive sensing with high quality image reconstruction and watermark performance

In this paper, we propose a new digital watermarking algorithm in encrypted image based on compressive sensing measurements and 2-D discrete wavelet transform (DWT). Firstly, we process the original image through 2-D DWT to highlight the important part and unimportant part. For the important LL2 coefficient, before encrypting it by the traditional stream cipher, we divide it into blocks, and mark the blocks to get a sequence as the watermark position key. For other wavelet coefficients, we select two different compressive sensing measurement matrices to simultaneously encrypt and compress them, respectively. Then we embed a watermark into the high frequency coefficient measurements except HH1 section based on the watermark position key. Finally, the watermarked image is scrambled to enhance the security. In this algorithm, compressive sensing is adopted for compression and encryption, and watermark is embedded in the measurements values. It can not only increase the watermark embedding capacity and robustness, but also utilize the reconstruction characteristic of compressive sensing to get higher-quality recovered image. The experimental results verify the validity and the reliability of the proposed algorithm.

A Blind digital Watermarking Algorithm based on DWT-DCT Transformation

A Blind digital Watermarking Algorithm based on DWT-DCT Transformation

A Robust Digital Watermarking Algorithm for Copyright Protection of Aerial Photogrammetric Images

AbstractCurrent research on digital watermarking for the copyright protection of digital multimedia data has led to fairly advanced techniques with fruitful results. However, there remains a lack of research on digital watermarking for geospatial data, which is very costly to produce but is of great importance and with wide application. In this study an analysis and discussion of digital watermarking is carried out for digital aerial photogrammetric images. Focusing on the requirements for the main applications of such images, a feature‐based digital watermarking algorithm is proposed. Testing and analysis of the robustness of the watermark is performed to achieve the goal of copyright protection, even after image processing and geometric transformation have been undertaken on the watermarked image. Furthermore, the image quality is (almost) preserved to avoid detrimental effects on subsequent applications. The experimental results prove that the proposed watermarking method has a certain degree of robustness and can resist most types of image‐processing and geometric attacks, while maintaining the data quality of the aerial images.

Invisible 워터마킹 기반의 광무선통신

In the contemporary world, the breakthrough of the ultra-modern technologies has been blessed with the camera. This device has become omnipresent either integrated on with other devices such as smartphones, notebooks, laptops, handheld devices and so on. In addition, digital signage, display and monitors have also become very widespread around us everywhere. These types of scenarios have made imaginable to imagine about the consuming of the unused resources. The dual use of displayed contents can make it possible to use it as an advertisement as well as a transmitter for camera based communication. In this study, a digital watermarking algorithm based communication method has been analyzed. We have introduced Binary Pattern (BP) based a new message extracting algorithm to extract message in an efficient way from the watermarked image compared to other algorithms. Besides, the previous works using camera and display have been illustrated using comparative analysis. This paper has demonstrated an advantageous overview using the experimental results which reveals that the proposed methodology significantly reduces the complexity while augmenting the advantages of the proposed scheme. Moreover, the simulation results have shown the advantages of the proposed scheme over the other schemes.

Robust and imperceptible image watermarking in DWT-BTC domain

In this paper, an algorithm for digital image watermarking based on discrete wavelet transforms DWT and block truncation coding BTC has been proposed. In the embedding process, the host image is decomposed into first level DWT and the watermark image is compressed by BTC. The compressed watermark is then embedded into the selected sub-band of the host image. The proposed method has been extensively tested against numerous known signal processing attacks and has been found to be robust and highly imperceptible. Further, the performance of the algorithm has been tested with fractal compression technique. The performance of the BTC-based technique is better than the fractal-based compression techniques in terms of robustness and imperceptibility.

基于数字水印和迭代算法的信息加密技术

基于数字水印和迭代算法的信息加密技术

An Enhanced Biometric Templates Protection Mechanism using Blind Digital Watermarking

Traditional biometric identification systems require larger memory space for storing unimodal biometric information in the direct form, which suffers leakage of information during transmission of data. Hence there is a necessity to develop an enhanced technique which offers improved protection of biometric data with reduced storage space. Recently, the digital watermarking technique has emerged to be a better solution in addressing these issues. In the proposed paper, an enhanced digital watermarking algorithm which conceals a fingerprint and iris code biometrics in the cover image (face) using Discrete Wavelet Transform-Least Significant Byte technique, which avoids leakage of information and tolerates various attacks on the cover image, is presented. Simulation analysis of the proposed system which stores the biometric information in the indirect form provides complete protection with reduced memory space, and also offers improved authentication accuracy than the existing traditional systems.

A Privacy-Preserving Outsourcing Data Storage Scheme with Fragile Digital Watermarking-Based Data Auditing

Cloud storage has been recognized as the popular solution to solve the problems of the rising storage costs of IT enterprises for users. However, outsourcing data to the cloud service providers (CSPs) may leak some sensitive privacy information, as the data is out of user’s control. So how to ensure the integrity and privacy of outsourced data has become a big challenge. Encryption and data auditing provide a solution toward the challenge. In this paper, we propose a privacy-preserving and auditing-supporting outsourcing data storage scheme by using encryption and digital watermarking. Logistic map-based chaotic cryptography algorithm is used to preserve the privacy of outsourcing data, which has a fast operation speed and a good effect of encryption. Local histogram shifting digital watermark algorithm is used to protect the data integrity which has high payload and makes the original image restored losslessly if the data is verified to be integrated. Experiments show that our scheme is secure and feasible.

Research of Dual Watermarking Technology for Digital Image

Abstract Digital image watermark has been studied as object. It analyzed the typical digital watermark algorithms based on the space domain and transform domain and key researched watermarking algorithm based on discrete wavelet transform. It has designed and improved blind watermarking algorithm and color image watermarking algorithm. Finally, based on the two improved watermarking algorithm, it has designed a dual watermarking algorithm. Both are separated but related. It authenticates dual watermarking algorithm in addition to subjective visual evaluation, but also use numerical objective evaluation and quantitative analysis. Experimental results show that this dual watermarking algorithm combines with robustness and concealment.

Digital watermarking algorithm based on scale-invariant feature regions in non-subsampled contourlet transform domain

Contraposing the need of the robust digital watermark for the copyright protection field, a new digital watermarking algorithm in the non-subsampled contourlet transform(NSCT) domain is proposed. The largest energy sub-band after NSCT is selected to embed watermark. The watermark is embedded into scaleinvariant feature transform(SIFT) regions. During embedding, the initial region is divided into some cirque sub-regions with the same area, and each watermark bit is embedded into one sub-region.Extensive simulation results and comparisons show that the algorithm gets a good trade-off of invisibility, robustness and capacity,thus obtaining good quality of the image while being able to effectively resist common image processing, and geometric and combo attacks, and normalized similarity is almost all reached.

A hybrid digital image watermarking algorithm based on DCT‐DWT and auto‐thresholding

AbstractMultimedia evolution in the current era has given digital images security and privacy a great concern. Digital image watermarking is used to produce highly protected images in order to promote secure and protected exchange over the network and between individuals. In this paper, a robust algorithm for digital image watermarking is proposed based on a hybrid watermarking and auto‐thresholding. This algorithm is designed to embed the watermarks in the transform domain using both discrete cosine transform and discrete wavelet transform (DCT‐DWT). Image is transformed to DCT then to DWT and the algorithm trains itself to choose the best embedding threshold. This threshold must satisfy a performance trade‐off and at the same time attains high imperceptibility and robustness. The algorithm performance is evaluated under various attacks and showed high‐performance level. Imperceptibility evaluation showed peak signal‐to‐noise ratio above 42.96 dB and similarity percentage above 99.27%. The algorithm proved high resistance to noising, scaling, cropping, rotation, and compression attacks. Copyright © 2015 John Wiley & Sons, Ltd.

Digital Watermarking Algorithm for QR Code Images Based on DCT and Blocked Images

Digital Watermarking Algorithm for QR Code Images Based on DCT and Blocked Images

The Modified Frequency Algorithm of Digital Watermarking of Still Images Resistant to JPEG Compression

The Modified Frequency Algorithm of Digital Watermarking of Still Images Resistant to JPEG Compression

Discrete Multiwavelet–Based Video Watermarking Scheme Using SURF

This paper proposes a robust, imperceptible block-based digital video watermarking algorithm that makes use of the Speeded Up Robust Feature (SURF) technique. The SURF technique is used to extract the most important features of a video. A discrete multiwavelet transform (DMWT) domain in conjunction with a discrete cosine transform is used for embedding a watermark into feature blocks. The watermark used is a binary image. The proposed algorithm is further improved for robustness by an error-correction code to protect the watermark against bit errors. The same watermark is embedded temporally for every set of frames of an input video to improve the decoded watermark correlation. Extensive experimental results demonstrate that the proposed DMWT domain video watermarking using SURF features is robust against common image processing attacks, motion JPEG2000 compression, frame averaging, and frame swapping attacks. The quality of a watermarked video under the proposed algorithm is high, demonstrating the imperceptibility of an embedded watermark.

Secure smart grid communications and information integration based on digital watermarking in wireless sensor networks

As more and more wireless sensor nodes and networks are employed to acquire and transmit the state information of power equipment in smart grid, we are in urgent need of some viable security solutions to ensure secure smart grid communications. Conventional information security solutions, such as encryption/decryption, digital signature and so forth, are not applicable to wireless sensor networks in smart grid any longer, where bulk messages need to be exchanged continuously. The reason is that these cryptographic solutions will account for a large portion of the extremely limited resources on sensor nodes. In this article, a security solution based on digital watermarking is adopted to achieve the secure communications for wireless sensor networks in smart grid by data and entity authentications at a low cost of operation. Our solution consists of a secure framework of digital watermarking, and two digital watermarking algorithms based on alternating electric current and time window, respectively. Both watermarking algorithms are composed of watermark generation, embedding and detection. The simulation experiments are provided to verify the correctness and practicability of our watermarking algorithms. Additionally, a new cloud-based architecture for the information integration of smart grid is proposed on the basis of our security solutions.

Anti-counterfeiting digital watermarking algorithm for printed QR barcode

Anti-counterfeiting watermarking technology provides a potential way to prevent quick response (QR) barcode from being copied or forged, and many relevant algorithms for digital QR barcode appeared recently. However, as for printed QR barcode, there is no actual research achievement published. This paper studies anti-counterfeiting techniques for printed QR barcode. The primary performance parameter, decoding rate of QR barcode as well as detection rate of digital watermark, is defined and discussed. A multi-channel robust watermarking scheme based on discrete wavelet transform (DWT) is proposed. In the watermarking scheme, the DWT domain is divided into non-overlapping rectangular areas as called watermarking channels. Channel watermark as well as anti-counterfeiting watermark is embedded into each watermarking channel. At the stage of anti-counterfeiting watermark extracting, the distortion rates of the watermarking channels are estimated by channel watermark. Based on the distortion rates, anti-counterfeiting watermark is computed by a well-designed linear estimation algorithm, whose validity is theoretically proved by analyzing anti-counterfeiting watermark bit error. The experimental results show that the detection rate of anti-counterfeiting watermark is greatly improved with the proposed scheme, and that we can correctly extract anti-counterfeiting watermark from printed QR image by choosing reasonable parameters.

An Improved Video Watermarking Algorithm Based on Relationship

This paper researched an improved digital video watermarking algorithm based on relationship. The algorithm combines the video processing and video coding compression principle which adopts improved Arnold algorithm as well as the technology of the block and carries out a series of replacement process in the DCT coefficients of the video frame YCbCr spatial luminance Y components. Meanwhile, we segment information watermark image, aiming at the information watermark and mark watermark to be double embedded to improve the watermark embedding capacity and computing speed of the algorithm. Simulation results show that this algorithm can keep good invisibility of watermark. It has good robustness to video compression processing and special video attacks which can realize the blind extraction and random watermark detection.

Digital Watermarking Algorithm for Multiview Images Generated by Three-Dimensional Warping

In this paper, we propose a watermarking method for protecting the ownership of three-dimensional (3D) content generated from depth and texture images. After selecting the target areas to preserve the watermark by depth-image-based rendering, the reference viewpoint image is moved right and left in the depth map until the maximum viewpoint change is obtained and the overlapped region is generated for marking space. The region is divided into four subparts and scanned. After applying discrete cosine transform, the watermarks are inserted. To extract the watermark, the viewpoint can be changed by referring to the viewpoint image and the corresponding depth image initially, before returning to the original viewpoint. The watermark embedding and extracting algorithm are based on quantization. The watermarked image is attacked by the methods of JPEG compression, blurring, sharpening, and salt-pepper noise.

Research on the Zero-Bit Watermarking Algorithms Based on the Matrix Decomposition for Digital Images

Due to the problem that the many digital images can be modified more and more easily, watermarking algorithms are proposed. There are many types of digital watermarking algorithms, such as robust digital watermarking algorithms, watermarking schemes for authentication, and reversible digital watermarking algorithms. However, there are some special images, such as the digital medical images for remote treatment, the military images for tracking object, and the remote sensing images, and they are so sensitive to any modification that we should authenticate the copyright by special technique. And this technique is zero-bit watermarking algorithms. In this paper, about zero-bit watermarking algorithms are surveyed. The basic procedures of these classical algorithms are analyzed, and some suggestion about the zero-bit algorithms is given.