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In this paper, a blind video watermarking algorithm based on 3D wavelet transform and Human Visual System (HVS) model is proposed. The proposed method is based on extracting temporal characteristics of video signal and using it to adjust spatial features of each frame. These frames are designed based on HVS model embed the message. Then the message will be extracted from video watermarked through...
In this paper, we present an image watermarking scheme based on contourlet transform (CT) and singular value decomposition (SVD). Unlike usual CT algorithm where the watermarking is embedded directly into the coefficients, we segment the lowpass coefficients into blocks. The blocks are decomposed using SVD, and the watermarking image after Arnold scrambling is embedded into the biggest singular value...
A new adaptive blind watermarking scheme with the watermarks encrypted by Fresnel transform in spatial domain is presented. By utilizing fuzzy c-means clustering (FCM) technique and human visual system (HVS), the watermark can be adaptively embedded according to block classification. To keep imperceptibility and robustness, a novel iterative embedding algorithm is adopted to change the to-be-embedded...
In this paper, we introduce a robust image watermarking method based on bi-dimensional empirical mode decomposition (BEMD) against geometric distortion. Based on the characteristics of the image theory and human visual system, the proposed method makes use of orthogonal properties of empirical mode decomposition to achieve the BEMD transform on the image. The image is decomposed into a series of IMFs...
A new adaptive blind watermarking scheme that the watermarks are encrypted by double random-phase encoding technique in DWT domain is presented. Using fuzzy c-means clustering (FCM) technique and human visual system (HVS), the watermark can be adaptively embedded according to block classification. To keep imperceptibility and robustness, a novel iterative embedding algorithm is adopted to change the...
In this paper, we present a novel algorithm for robust audio watermarking in image using wavelet transform based on an image entropy. The motivation of choosing image as a cover is driven by the fact that human visual system is less sensitive than human auditory system thus an image provides better masking effect. The algorithm is based on decomposition of images using Daubechies wavelet basis. The...
A geometrically robust image watermarking scheme based on perceptual hashes and genetic algorithm is proposed. The synchronization information, which is generated by perceptual image hashes and pseudo-random number (PRN), and the watermark are embedded into the image based on the human visual system (HVS). In watermark extracting, the geometric transformation parameters are computed from perceptual...
Combining the human visual system with the image local properties, this paper proposes a novel watermarking algorithm based on ridgelet transform and fuzzy c-means (FCM) clustering. In order to obtain a sparse representation of the image, especially for straight edge singularity, the image is first partitioned into small pieces and the ridgelet transform is applied for each piece. The image pieces...
In this paper, we proposed a new non blind robust digital watermarking algorithm for embedding binary image watermark in grayscale images. For embedding procedure, three levels discrete wavelet transform of cover image is computed. Afterward the watermark image is added in the high-high (HH), low-high (LH) and high-low (HL) subbands using a threshold coefficients. The low-low (LL) subband coefficients...
In this paper, we propose a hybrid robust digital watermarking algorithm based on singular value decomposition (SVD) and lifting wavelet transform (LWT). In contrast to other watermarking algorithms based on wavelet transforms which exploit the human visual system (HVS), proposed method does not require to use HVS characteristics. After decomposing the cover image into a two-level lifting wavelet...
The human visual system exhibits reduced sensitivity to distortions in the regions of an image where the rate of change is significant. This entails that a watermark with significant value can be robust and if it resides near around edges and textured areas of an image, it would be imperceptible as well. The present work exploits this characteristic of the human visual system to embed a robust and...
In this paper, we introduce a robust watermark scheme against shearing attack for digital images based on video series wavelet transform. Based on the characteristics of the image theory and human visual system, the proposed method make use of the there-dimensional video wavelet transform to split the image to a sense of image videos and the watermark is adaptively weighed to the different positions...
In this paper, we propose a novel hybrid DWT-DCT transform watermarking scheme. The original visually meaningful binary watermark image is preprocessed by using extended Arnold transform.The secret watermark bits are embedded on the singular values of the blocks within low frequency subband in host image hybrid DWT-DCT transform. To embed watermark imperceptibly,robustly and securely, we model the...
This paper develops a new mask in the spatial domain for image watermarking. The mask exploits the properties of human visual system with respect to background luminance, the edge and texture masking, which are expressed by certain image features. On the use of the mask, a new double domain watermarking framework is presented. The watermark is embedded into one transform domain, but perceptually shaped...
Recently, the wavelet transform is widely used in multimedia signal processing applications. To provide security solution, the digital watermarking is involved. This study presents a blind wavelet-based watermarking which cooperates with the human visual system (HVS) embedding watermarks into detail-subband coefficients. Since the imperceptibility is the most significant issue in watermarking, the...
In this paper, a new multiplicative image watermarking system is presented. As human visual system is less sensitive to the image edges, watermarking is applied in the contourlet domain, which represents image edges sparsely. In the presented scheme, watermark data is embedded in the most energetic directional subband. By modeling general gaussian distribution (GGD) for the contourlet coefficients,...
Digital watermarking technique is one of most important methods in information hiding and IPR (Intelligence Properties Right) protection and authentication. The aim of the paper is study on a new semi-fragile digital watermarking algorithm. The copyright information is firstly made chaos by Arnold transform, then self-adaptive imbedded into host image based on calculating the adjacent wavelet coefficients...
In this paper, a robust image watermarking scheme based on curvelet transform is proposed. Considering the frequency and orientational sensitivity of the human visual system(HVS), we present a HVS model in curvelet domain,which is used to control the embedding strength. The watermark is embedded to the selected coefficients of the curvelet transform, and original image is not required in the extracting...
The curvelet transform is a new multi-scale analysis method which can be used to represent perfectly the curve edges of natural image. Robust image watermark algorithm should embed the watermark into the edges of image according to human visual system. In this paper, an adaptive image watermark algorithm in curvelet domain was proposed. Firstly, the original image was decomposed into curvelet coefficients...
The current paper presents a robust watermarking method for still images, which uses the similarity of discrete wavelet transform and human visual system (HVS). The proposed scheme makes the use of pixel wise masking in order to make binary watermark imperceptible to the HVS. The watermark is embedded in the perceptually significant, spatially selected detail coefficients using sub band adaptive threshold...
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