This paper presents, a novel watermarking scheme for digital images which overcomes the problems associated with singular value decomposition. Here, the singular values of the host image are modified using the principal components of the watermark in the DWT domain for providing copyright protection as well as reliability. This method accomplishes with an incorporation of fractional singular values in the scheme for finding the optimum scaling factors for efficient robustness and the fidelity of the scheme. By using this method we could eliminate the false positive problem and diagonal line problem which were found in the traditional singular value decomposition. the proposed scheme is tested under various forms of image processing attacks like noise addition, median filtering, JPEG compression, Geometric cropping Experimental results are provided to illustrate that the proposed scheme succeeded in providing copyright protection.
Image watermarking has come to wide use in the recent past. It is by the authentication problems and limitation means that the setting accuracy of the image watermarking operation is minimized. Different types of integration schemes have been proposed in the past to improve efficiency and makes the embedding resistant against various attacks .Although transformation, spatial domain approaches have been developed PSNR improvements in image artifacts due to the fringes are still to be observed. To improvise the embedding, image artifacts in this paper a forward -based image embedding scheme is proposed.
In recent days, the introduction of third component in conventional turbo codes proved to be effective in improving the code performance. In such third component enabled turbo codes, the parameters such as permeability and permittivity rates seems to be very static and so such codes cannot perform under different noisy environments. In this paper, an adaptive third component turbo code (A3D-TC) is proposed to solve the aforesaid drawbacks. In A3D-TC, the third component parameters are made adaptive. This is accomplished by generating a GA-based knowledge source and feeding it to feed forward neural network. The network outputs third component parameters according to the noise and signal strengths so that bit error rate at decoding section can be minimized in an effective way. Extensive experimental results prove the performance of A3D-TC over the conventional 3D-TC under various noisy environments.
Video watermarking is a novel technology that has the ability to solve the problem of illegal digital video manipulation and distribution. In video watermarking, the copyright bits are embedded into video bit streams. This paper proposes two effective, robust and indiscerniblevideo watermarking algorithms. Both the algorithms of video watermarking are based on algebraic transform of Singular Value Decomposition (SVD). In the first algorithm, watermark information bits are embedded in the SVD-transformed video in a diagonal-wise fashion, and in the second algorithm the watermarked bits are embedded in a block-wise fashion. The performance of both the algorithms is performed in lines of imperceptibility, robustness and data payload. Similar results have been achieved with both the algorithms. The only variation in their performance was found in the form of robustness and data payload. The first proposed algorithm attained better robustness results. While the second proposed algorithm attained higher data payload.
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