The Experts below are selected from a list of 30852 Experts worldwide ranked by ideXlab platform
Long-wen Chang - One of the best experts on this subject based on the ideXlab platform.
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ICME - Highly imperceptible video watermarking with the Watson's DCT-based visual model
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2004Co-Authors: Han-min Tsai, Long-wen ChangAbstract:Digital watermarking plays an important role in copyright protection, content authentication, and annotation of digital multimedia. To embed a watermark quickly, we embed the watermark in the compressed domain instead of the frequency domain. For high Imperceptibility, a new video watermarking, based on the human visual system (HVS), is proposed. It embeds the watermark in the block that is highly tolerant of noise. The proposed algorithm directly substitutes the variable length code (VLC) without inverse quantization and forward quantization. It can greatly reduce computational complexity. In the experiment, we apply MPEG-1 video sequences as our test sequence and the results demonstrate the high Imperceptibility of the watermark.
Han-min Tsai - One of the best experts on this subject based on the ideXlab platform.
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ICME - Highly imperceptible video watermarking with the Watson's DCT-based visual model
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2004Co-Authors: Han-min Tsai, Long-wen ChangAbstract:Digital watermarking plays an important role in copyright protection, content authentication, and annotation of digital multimedia. To embed a watermark quickly, we embed the watermark in the compressed domain instead of the frequency domain. For high Imperceptibility, a new video watermarking, based on the human visual system (HVS), is proposed. It embeds the watermark in the block that is highly tolerant of noise. The proposed algorithm directly substitutes the variable length code (VLC) without inverse quantization and forward quantization. It can greatly reduce computational complexity. In the experiment, we apply MPEG-1 video sequences as our test sequence and the results demonstrate the high Imperceptibility of the watermark.
Duan Hua - One of the best experts on this subject based on the ideXlab platform.
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DWT-based Imperceptibility Evaluation of Watermark in Watermarked Color Image
Computer Science, 2008Co-Authors: Duan HuaAbstract:The Imperceptibility of the watermark is one of the most important aspects for the performance of the watermarking algorithm.Conventional measure of image quality PSNR can't evaluate the quality of the watermarked image well.The different background luminance,texture,frequency and the color of the image mask the human eyes differently.This characteristic can be used to improve the conventional measure PSNR.By calculating the masking threshold of the background luminance,the texture,frequency and the color of pixel,the masking-weight for each pixel was calculated and an Imperceptibility measure with these weights was obtained for the watermark in the watermarked color image.The conventional measure and the new one were compared through different experiments.The result judged by the new measure is more close to the result judged by human eyes than the conventional measure.
Khaled Loukhaoukha - One of the best experts on this subject based on the ideXlab platform.
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a new reliable optimized image watermarking scheme based on the integer wavelet transform and singular value decomposition for copyright protection
Information Sciences, 2017Co-Authors: Nasrin M Makbol, Bee Ee Khoo, Taha H Rassem, Khaled LoukhaoukhaAbstract:Although image watermarking schemes based on singular value decomposition (SVD) demonstrate high robustness and Imperceptibility, they are exposed to the false positive problem (FPP). This drawback mostly occurs when embedding steps depend on singular values while singular vectors are used as secret keys. In this study, a new reliable SVD-based image watermarking scheme that uses integer wavelet transform (IWT) is proposed to overcome FPP and fulfil all watermarking requirements. Unlike in other schemes, the S and V matrices of the watermark are used as secret keys, whereas the S singular vector of the watermark is embedded into the singular values of the host image. The additional secret key is obtained from the watermarked image during the embedding process to increase security and avoid FPP completely. To improve the robustness, as well as achieve balance between robustness and Imperceptibility, multi-objective ant colony optimization (MOACO) is utilized to find the optimal scaling factors, namely, multiple zooming factors. Results of the robustness, Imperceptibility, and reliability tests demonstrate that the proposed IWT-SVD-MOACO scheme outperforms several previous schemes and avoids FPP completely.
Asifullah Khan - One of the best experts on this subject based on the ideXlab platform.
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intelligent reversible watermarking in integer wavelet domain for medical images
Journal of Systems and Software, 2012Co-Authors: Muhammad Arsalan, Sana Ambreen Malik, Asifullah KhanAbstract:The prime requirement of reversible watermarking scheme is that the system should be able to restore the cover work to its original state after extracting the hidden information. Reversible watermarking approaches, therefore, have wide applications in medical and defense imagery. In this paper, an intelligent reversible watermarking approach GA-RevWM for medical images is proposed. GA-RevWM is based on the concept of block-based embedding using genetic algorithm (GA) and integer wavelet transform (IWT). GA based intelligent threshold selection scheme is applied to improve the Imperceptibility for a fixed payload or vice versa. The experimental results show that GA-RevWM provides significant improvement in terms of Imperceptibility for a desired level of payload against the existing approaches.
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genetic perceptual shaping utilizing cover image and conceivable attack information during watermark embedding
Information Fusion, 2007Co-Authors: Asifullah Khan, Anwar M MirzaAbstract:We describe a new watermarking scheme based on intelligent shaping of a digital watermark using Genetic Programming (GP). The proposed method, in addition to achieving a superior tradeoff between watermark robustness and Imperceptibility, is also able to structure the watermark in accordance with an anticipated attack. This has been achieved by simultaneously hiding the watermark as well as spreading and fusing it in such a way to resist the conceivable attack. Robustness versus Imperceptibility tradeoff and increase in bit correct ratio after attack, have been employed as the optimization criteria in the GP search. The concept of bonus fitness has been used to implement multi-objective fitness based GP evolution. Experiments on standard images indicate that such watermark shaping functions could be developed that are cover image independent and enhance Imperceptibility. They offer high resistance against removal and interference attacks of Checkmark benchmark.
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Towards a Better Robustness-Imperceptibility Tradeoff in Digital Watermarking
Innovations and Advanced Techniques in Systems Computing Sciences and Software Engineering, 1Co-Authors: Imran Usman, Asifullah Khan, Rafiullah Chamlawi, Abdul MajidAbstract:Robustness and Imperceptibility are two essential but contradicting properties in robust digital watermarking. This paper proposes an approach for obtaining superior robustness-Imperceptibility tradeoff by considering the likely set of attacks a watermark is expected to be mounted with. The suggested approach achieves this improvement by using Genetic Programming to develop appropriate perceptual shaping functions for structuring the watermark intelligently by choosing the optimum strength of allowable alteration in watermarkable DCT features, in view of a set of conceivable attacks. The developed perceptual shaping functions, which outperform the conventional ones, are generalized with respect to the cover work and are based on the watermark application.