A new robust non-blind digital watermarking scheme in contourlet domain (original) (raw)
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A contourlet-based image watermarking scheme with high resistance to removal and geometrical attacks
… on Advances in …, 2010
We propose a new nonblind multiresolution watermarking method for still images based on the contourlet transform (CT). In our approach, the watermark is a grayscale image which is embedded into the highest frequency subband of the host image in its contourlet domain. We demonstrate that in comparison to other methods, this method enables us to embed more amounts of data into the directional subbands of the host image without degrading its perceptibility. The experimental results show robustness against several common watermarking attacks such as compression, adding noise, filtering, and geometrical transformations. Since the proposed approach can embed considerable payload, while providing good perceptual transparency and resistance to many attacks, it is a suitable algorithm for fingerprinting applications.
A highly robust two-stage Contourlet-based digital image watermarking method
Signal Processing: Image Communication, 2013
In this paper we propose a blind and highly robust watermarking method consisting of two embedding stages. In the first stage, the odd description of image is divided into nonoverlapped fixed size blocks and the signature (watermark) is embedded in the high frequency component of the Contourlet transform (CT) of the blocks. In the second stage, the signature is embedded in the low frequency component of the global CT of the image. The main issue associated with two-stage blind watermarking is the selection of the less affected signature among the two embedded signatures. In this paper a measure is introduced to decide between the two extracted signatures. Simulation results indicate that the proposed method achieves higher robustness compared to other known watermarking methods. Moreover, since watermark is embedded in the local as well as global CT coefficients of two different frequency bands, the proposed method is robust against a wide range of attacks. This is due to the fact that most of the attacks affect either a specific frequency band or a specific location in the watermarked image.
A NEW CONTOURLET TRANSFORM FEATURE TECHNIQUES FOR DIGITAL WATERMARKING
contourlet transform feature techniques for digital watermarking is proposed in this paper, now a day’s watermarking technique is powerful technique for security of copyright by hiding information, the input image is partitioned with different features are the combination of anisotropy and directionality using contourlet transform. In contourlet transform the image is decomposed with the help of laplacian pyramid and directional filter bank. In laplacian pyramid highest features are taken using low pass filter. After that given watermark image is inserted in low content part of the decomposed image. Band pass filter can be extract in noise image from the output image, based on contourlet transform can gives better PSNR and MSE as compared to existing techniques. Keywords- contourlet transform, watermark extraction .
Digital Watermarking Based on Contourlet-SVD
In this paper, embedding a watermark image is performed in discrete Contourlet transform (CT) domain. It is known that the CT is able to capture the directional edges and contours superior to discrete wavelet transform. The proposed scheme is based on embedding watermark bits into the singular value of the selected blocks within low-pass sub-band of the original gray image CT. Two algorithms are implemented, the first uses adaptive quantization and the second uses quantization step. Our experimental results show that the method with quantization step has better fidelity in terms of peak signal to noise ratio (PSNR) and is more robust against geometrical and non-geometrical attacks in terms of normalized cross correlation (NC) in comparison with the first method, though, the method with adaptive quantization is blind in the sense not only quantization strategies but also, the original image is required.
Enhancing robustness of digital image watermarks using Contourlet transform
2009 16th IEEE International Conference on Image Processing (ICIP), 2009
In this paper a simple and robust Contourlet-based image watermarking technique for copyright protection is presented. The main idea is to utilize the flexible representation of images provided by the Contourlet transform in designing a robust watermarking technique. The watermark is embedded into different bands to resist different kinds of signal processing attacks without causing visual artifacts into the host image. The performance of the technique is evaluated. The experimental results and comparisons with other Contourlet-based techniques prove the effectiveness of the proposed technique.
We propose a robust quantization-based image watermarking scheme, called the gradient direction watermarking (GDWM).This is based on the uniform quantization of the direction of gradient vectors. In GDWM, the watermark bits are embedded by quantizing the angles of significant gradient vectors at multiple wavelet scales. The proposed scheme has the following advantages: 1)Increased invisibility of the embedded watermark because the watermark is embedded in significant gradient vectors, 2) robustness to amplitude scaling attacks because the watermark is embedded in the angles of the gradient vectors, and 3) increased watermarking capacity as the scheme uses multiple-scale embedding.. This watermarking technique is more Robust tovarious sizes of watermark Images.we construct a discrete-domain multiresolution and multidirectional expansion using non-separable filter banks, in much the same way that wavelets were derived from filter banks. This construction results in a flexible mutiresolution, local, and directional image expansion using contour segments, and thus it is named the contourlettransform. The discrete contourlet transform has a fast iterated filter bank algorithm that requires order N operations for N-pixel images. Finally, we show simulation results using contourlet denoising method over wavelet.
A Survey on Multiplicative Watermark Decoder in Contourlet Domain
Digital watermarking has been projected as a process of copyright protection of text, images, audio and video. We suggest using the recently established transform used in two dimensional signals called contourlet transform designed for image watermarking application. Although high frequency components are appropriate for robustness, invisibility criterion forces that pixel selection is based on pure high frequency consideration to further parameters. Contourlets can decompose the image into directional subbands and its number of directions can be chosen according to the requirement. The result shows that contourlet is an effective representation for watermarking images most of them containing lot of texts, graphs and curves. Since human visual system is little sensitive to the edges of image, watermarking technique is used in contourlet domain, which describe the edges of the image sparsely. Contourlet transform afford a flexible multiresolution representation of the images. The exclusive properties of contourlet transform are that we can identify the number of directional decompositions necessary for each and every stage of multiresolution pyramid.
A dual adaptive watermarking scheme in contourlet domain for DICOM images
Biomedical Engineering Online, 2011
Background Nowadays, medical imaging equipments produce digital form of medical images. In a modern health care environment, new systems such as PACS (picture archiving and communication systems), use the digital form of medical image too. The digital form of medical images has lots of advantages over its analog form such as ease in storage and transmission. Medical images in digital form must be stored in a secured environment to preserve patient privacy. It is also important to detect modifications on the image. These objectives are obtained by watermarking in medical image. Methods In this paper, we present a dual and oblivious (blind) watermarking scheme in the contourlet domain. Because of importance of ROI (region of interest) in interpretation by medical doctors rather than RONI (region of non-interest), we propose an adaptive dual watermarking scheme with different embedding strength in ROI and RONI. We embed watermark bits in singular value vectors of the embedded blocks within lowpass subband in contourlet domain. Results The values of PSNR (peak signal-to-noise ratio) and SSIM (structural similarity measure) index of ROI for proposed DICOM (digital imaging and communications in medicine) images in this paper are respectively larger than 64 and 0.997. These values confirm that our algorithm has good transparency. Because of different embedding strength, BER (bit error rate) values of signature watermark are less than BER values of caption watermark. Our results show that watermarked images in contourlet domain have greater robustness against attacks than wavelet domain. In addition, the qualitative analysis of our method shows it has good invisibility. Conclusions The proposed contourlet-based watermarking algorithm in this paper uses an automatically selection for ROI and embeds the watermark in the singular values of contourlet subbands that makes the algorithm more efficient, and robust against noise attacks than other transform domains. The embedded watermark bits can be extracted without the original image, the proposed method has high PSNR and SSIM, and the watermarked image has high transparency and can still conform to the DICOM format.
—In this paper, a hybrid blind digital watermarking system using Discrete Wavelet Transform (DWT) and Contourlet Transform (CT) has been implemented and tested. The implemented combined digital watermarking system has been tested against five common types of image attacks. The performance evaluation shows improved results in terms of imperceptibility, robustness, and high tolerance against these attacks; accordingly, the system is very effective and applicable.
Robust Watermarking in Singular Values of Contourlet Coefficients
2011 7th Iranian Conference on Machine Vision and Image Processing, 2011
To protect copyright of digital images, many watermarking algorithms have been proposed in recent years. These methods are divided into two groups of spatial and frequency domains. Robustness of a watermark against signal processing modifications is important and most of the existing methods try to address this issue. In this paper a Contourlet based image watermarking algorithm is proposed which embeds a watermark in the singular values of the Contourlet transform of an image. Watermarking is done in three scales of Contourlet transform. Redundant embedding of the watermark in different scales causes higher robustness of the proposed method. In the extraction phase, the final watermark is derived by voting amongst the three extracted watermarks. The experimental results and comparison with the other Contourlet based method shows that the proposed method has better robustness against some of the usual image processing attacks, such as JPEG compression, Salt and Pepper, and Gaussian noise.