• Title/Summary/Keyword: watermark capacity

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High-Capacity and Robust Watermarking Scheme for Small-Scale Vector Data

  • Tong, Deyu;Zhu, Changqing;Ren, Na;Shi, Wenzhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.12
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    • pp.6190-6213
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    • 2019
  • For small-scale vector data, restrictions on watermark scheme capacity and robustness limit the use of copyright protection. A watermarking scheme based on robust geometric features and capacity maximization strategy that simultaneously improves capacity and robustness is presented in this paper. The distance ratio and angle of adjacent vertices are chosen as the watermark domain due to their resistance to vertex and geometric attacks. Regarding watermark embedding and extraction, a capacity-improved strategy based on quantization index modulation, which divides more intervals to carry sufficient watermark bits, is proposed. By considering the error tolerance of the vector map and the numerical accuracy, the optimization of the capacity-improved strategy is studied to maximize the embedded watermark bits for each vertex. The experimental results demonstrated that the map distortion caused by watermarks is small and much lower than the map tolerance. Additionally, the proposed scheme can embed a copyright image of 1024 bits into vector data of 150 vertices, which reaches capacity at approximately 14 bits/vertex, and shows prominent robustness against vertex and geometric attacks for small-scale vector data.

Watermarking of Compressed Video in the Bitstream Domain: An Efficient Algorithm and its Implementation

  • Drobouchevitvh Inna G.;Lim Sung-Jun;Han Byung-Wan;Chang Hang-Bae;Kim Kyung-Kyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.4C
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    • pp.458-471
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    • 2006
  • Digital watermarking of multimedia data is a very active research area that has enjoyed a considerable amount of attention in recent years. In this paper, we propose an algorithm for embedding/detecting a fragile watermark in MPEG-4 compressed video domain (Simple and Advance Simple Profiles). The watermark bits are put directly into Huffman VLC-codespace of quantized DCT domain. The advantage of watermark embedding into the compressed domain is the significant savings for a real-time implementation as it does not require a full decoding operation. The watermark embedding does not change the video file size. The algorithm demonstrates high watermarking capacity, thereby providing reliable foolproof authentication. The results of experimental testing demonstrate that watermark embedding preserves the video quality. Watermark detection is performed without using the original video.

Performance analysis on the asymmetric watermark using power spectrum domain (파워 스펙트럼 도메인 비대칭 워터마크의 성능 분석)

  • 서진수;유창동
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.3
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    • pp.164-170
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    • 2003
  • This paper proposes a novel method to detect Furon's asymmetric watermark by using a correlation detector that is mathematically tractable and simple. The performance of the proposed method is tested under various conditions. The experimental results matched the theoretical results well, showing that the correlation detector can indeed be used for the detection of asymmetric watermark. The proposed detector is aplied to both single and multiple bit embedded watermark. Bit error rate (BER), obtained from the experiment, was compared to the one obtained from the theory. As the embedded information increases, the BER of the Furon's asymmetric watermarking method also increases rapidly.

Threshold Selection Method for Capacity Optimization of the Digital Watermark Insertion (디지털 워터마크의 삽입용량 최적화를 위한 임계값 선택방법)

  • Lee, Kang-Seung;Park, Ki-Bum
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.1
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    • pp.49-59
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    • 2009
  • In this paper a watermarking algorithm is proposed to optimize the capacity of the digital watermark insertion in an experimental threshold using the characteristics of human visual system(HVS), adaptive scale factors, and weight functions based on discrete wavelet transform. After the original image is decomposed by a 3-level discrete wavelet transform, the watermarks for capacity optimization are inserted into all subbands except the baseband, by applying the important coefficients from the experimental threshold in the wavelet region. The adaptive scale factors and weight functions based on HVS are considered for the capacity optimization of the digital watermark insertion in order to enhance the robustness and invisibility. The watermarks are consisted of gaussian random sequences and detected by correlation. The experimental results showed that this algorithm can preserve a fine image quality against various attacks such as the JPEG lossy compression, noise addition, cropping, blurring, sharpening, linear and non-linear filtering, etc.

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A Video Watermarking Method using Global Masking (전역 마스킹을 이용한 비디오 워터마킹 방법)

  • 문지영;호요성
    • Journal of Broadcast Engineering
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    • v.8 no.3
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    • pp.268-277
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    • 2003
  • In this paper, we propose a new video watermarking method exploiting the human visual system (HVS) to find effective locations. in the video frames which make the watermark robust and imperceptible simultaneously. In particular, we propose a new HVS-optimized weighting map for hiding the watermark by considering HVS in three different aspects : frequency, spatial, and motion masking effects. The global masking map is modeled by combining the frequency masking, the spatial masking, and the motion masking. In this paper, we use a watermark which is generated by the bitwise exclusive-OR operation between a logo image and a random sequence. The amount of watermarks is weighted by a control parameter. Furthermore, we embed the watermark in the uncompressed video sequence for the general watermarking method available to various coding schemes. Simulation results show that the watermark is imperceptible and the proposed method is good for watermark capacity. It is also demonstrated that the proposed method is robust against various attacks, such as MPEG coding, MPEG re-encoding, and frame attacks.

Reversible DNA Watermarking Technique Using Histogram Shifting for Bio-Security (바이오 정보보호 위한 히스토그램 쉬프팅 기반 가역성 DNA 워터마킹 기법)

  • Lee, Suk-Hwan;Kwon, Seong-Geun;Lee, Eung-Joo;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.20 no.2
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    • pp.244-253
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    • 2017
  • Reversible DNA watermarking is capable of continuous DNA storage and forgery prevention, and has the advantage of being able to analyze biological mutation processes by external watermarking by iterative process of concealment and restoration. In this paper, we propose a reversible DNA watermarking method based on histogram multiple shifting of noncoding DNA sequence that can prevent false start codon, maintain original sequence length, maintain high watermark capacity without biologic mutation. The proposed method transforms the non-coding region DNA sequence to the n-th code coefficients and embeds the multiple bits of the n-th code coefficients by the non-recursive histogram multiple shifting method. The multi-bit embedding process prevents the false start codon generation through comparison search between adjacent concealed nucleotide sequences. From the experimental results, it was confirmed that the proposed method has higher watermark capacity of 0.004-0.382 bpn than the conventional method and has higher watermark capacity than the additional data. Also, it was confirmed that false start codon was not generated unlike the conventional method.

3D Mesh Model Watermarking Based on Projection

  • Lee Suk-Hwan;Kwon Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.8 no.12
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    • pp.1572-1580
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    • 2005
  • The common requirements for watermarking are usually invisibility, robustness, and capacity. We proposed the watermarking for 3D mesh model based on projection onto convex sets for invisibility and robustness among requirements. As such, a 3D mesh model is projected alternatively onto two convex sets until it converge a point. The robustness convex set is designed to be able to embed watermark into the distance distribution of vertices. The invisibility convex set is designed for the watermark to be invisible based on the limit range of vertex movement. The watermark can be extracted using the decision values and index that the watermark was embedded with. Experimental results verify that the watermarked mesh model has both robustness against mesh simplification, cropping, affine transformations, and vertex randomization and invisibility.

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A Perceptually-Adaptive High-Capacity Color Image Watermarking System

  • Ghouti, Lahouari
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.1
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    • pp.570-595
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    • 2017
  • Robust and perceptually-adaptive image watermarking algorithms have mainly targeted gray-scale images either at the modeling or embedding levels despite the widespread availability of color images. Only few of the existing algorithms are specifically designed for color images where color correlation and perception are constructively exploited. In this paper, a new perceptual and high-capacity color image watermarking solution is proposed based on the extension of Tsui et al. algorithm. The $CIEL^*a^*b^*$ space and the spatio-chromatic Fourier transform (SCFT) are combined along with a perceptual model to hide watermarks in color images where the embedding process reconciles between the conflicting requirements of digital watermarking. The perceptual model, based on an emerging color image model, exploits the non-uniform just-noticeable color difference (NUJNCD) thresholds of the $CIEL^*a^*b^*$ space. Also, spread-spectrum techniques and semi-random low-density parity check codes (SR-LDPC) are used to boost the watermark robustness and capacity. Unlike, existing color-based models, the data hiding capacity of our scheme relies on a game-theoretic model where upper bounds for watermark embedding are derived. Finally, the proposed watermarking solution outperforms existing color-based watermarking schemes in terms of robustness to standard image/color attacks, hiding capacity and imperceptibility.

High-Capacity Reversible Watermarking through Predicted Error Expansion and Error Estimation Compensation (추정 오차 확장 및 오류 예측 보정을 통한 고용량 가역 워터마킹)

  • Lee, Hae-Yeoun;Kim, Kyung-Su
    • The KIPS Transactions:PartB
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    • v.17B no.4
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    • pp.275-286
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    • 2010
  • Reversible watermarking which can preserve the original quality of the digital contents and protect the copyright has been studied actively. Especially, in medical, military, and art fields, the need for reversible watermarking is increasing. This paper proposes a high-capacity reversible watermarking through predicted error expansion and error estimation compensation. Watermark is embedded by expanding the difference histogram between the original value and the predicted value. Differently from previous methods calculating the difference between adjacent pixels, the presented method calculates the difference between the original value and the predicted value, and that increases the number of the histogram value, where the watermark is embedded. As a result, the high capacity is achieved. The inserted watermark is extracted by restoring the histogram between the original value and the predicted value. To prove the performance, the presented algorithm is compared with other previous methods on various test images. The result supports that the presented algorithm has a perfect reversibility, a high image quality, and a high capacity.

Estimation-based Watermarking Algorithm with Low Density Parity Check (LDPC) Codes (LDPC를 이용한 예측 기반 워터마킹 알고리듬)

  • Lim, Jae-Hyuck;Won, Chee-Sun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.1
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    • pp.76-84
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    • 2007
  • The goal of this paper is to improve the watermarking performance using the following two methods; watermark estimation and low density parity check (LDPC) codes. For a blind watermark decoding, the power of a host image, which is hundreds times greater than the watermark power, is the main noise source. Therefore, a technique that can reduce the effect of the power of the host image to the detector is required. To this end, we need to estimate watermark from the watermarked image. In this paper, the watermark estimation is done by an adaptive estimation method with the generalized Gaussian distribution modeling of sub-band coefficients in the wavelet domain. Since the watermark capacity as well as the error rate can be improved by adopting optimum decoding principles and error correcting codes (ECC), we employ the LDPC codes for the decoding of the estimated watermark. Also, in LDPC codes, the knowledge about the noise power can improve the error correction capability. Simulation results demonstrate the superior performance of the proposed algorithm comparing to LDPC decoding with other estimation-based watermarking algorithms.