• Title/Summary/Keyword: watermarked paper

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A Blind Vector Digital Watermarking for GIS using the Closest Pair of Points (최근점 쌍을 이용한 벡터 맵 디지털 워터마킹)

  • Kim, Jung-Yeop;Park, Soo-Hong
    • Journal of KIISE:Information Networking
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    • v.36 no.6
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    • pp.536-544
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    • 2009
  • This paper proposed a novel vector digital watermarking method to protect copyright. The proposed method embeds watermarks after finding the closest pair of points and calculating the distance of the points. We tested the robustness of the method through several attacks on watermarked data. The experimental results show that the proposed method has more robustness than previous methods. And the new method doesn't change the topology of the vector data. Therefore, this method can be 'the vector digital watermarking for GIS.

Watermarking Based on Complemented MLCA and 2D CAT

  • Li, Xiao-Wei;Yun, Jae-Sik;Cho, Sung-Jin;Kim, Seok-Tae
    • Journal of information and communication convergence engineering
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    • v.9 no.2
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    • pp.212-216
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    • 2011
  • Digital watermarking has gained importance in recent years in copyright protection and multimedia. This paper proposes a secure and novel watermarking system based on complemented Maximum Length Cellular Automata (MLCA) and Two-Dimension Cellular Automata Transform (2D CAT). In this watermarking scheme, the original watermark is first encrypted by complemented MLCA with the private keys, and then the encrypted watermark is embedded into the CAT domain of the cover image, at last use the inverse CAT for the transformed image, the watermarked image is obtained. Experiment results show that this new method is more secure and provides robust performance against watermarking attacks.

Robust Audio Watermarking Using HAS and Neural Network (신경망과 HAS을 이용한 강인한 오디오 워터마킹 알고리즘)

  • Jung, Se-Won;Piao, Cheng-Ri;Han, Seung-Soo
    • Proceedings of the KIEE Conference
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    • 2006.07d
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    • pp.2101-2102
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    • 2006
  • In this paper, a new digital audio watermarking algorithm is presented. The proposed algorithm embeds watermark into audio signal based on human auditory system (HAS). This algorithm is a blind audio watermarking method, which does not require any prior information during watermark extraction process. This algorithm finds watermarking position using time-domain masking effect. First we insert the watermark into wavelet domain, and then we use a back-propagation neural network (BPN) to learn the characteristics of relationship between the watermark and the watermarked audio. Due to the teaming and adaptive capabilities of the BPN, the false recovery of the watermark can be greatly reduced by the trained BPN. Experimental results show that the proposed method has good inaudibility and high robustness to common audio processing attacks.

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Template Recovery of DWT-DFT Composite Watermarking Scheme Using Collinear Cross-Ratio

  • Sepsirisuk, Kasemsuk;Atsuta, Kiyoaki;Kondo, Shozo
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.225-228
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    • 2005
  • According to a popularization of the Internet and digital lifestyle, digital watermarks have been proposed for protection of copyrighted multimedia content. In blind watermark detection, which an original image is not provided, robustness against geometric distortion and compression remains challenging. In this paper, we propose a new perceptual blind discrete wavelet transform - discrete Fourier transform (DWT-DFT) composite watermarking scheme that is robust against both general linear transform and JPEG compression. This algorithm constructs an image-dependent watermark in the most significant DWT coefficients, which is determined by using a hierarchical tree structure. Strength of watermark is determined from a just-noticeable difference (JND) profile of a perceptual model. Furthermore, a desired template is inserted into DFT domain of the watermarked image. In new manner, a cross-ratio of four collinear points is used for detecting the template. Experimental results have showed that the proposed scheme is robust against general linear distortion, JPEG compression and various general kinds of attacks in the Stirmark 3.1 watermark evaluation tool.

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Audio Watermarking Using Independent Component Analysis

  • Seok, Jong-Won
    • Journal of information and communication convergence engineering
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    • v.10 no.2
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    • pp.175-180
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    • 2012
  • This paper presents a blind watermark detection scheme for an additive watermark embedding model. The proposed estimation-correlation-based watermark detector first estimates the embedded watermark by exploiting non-Gaussian of the real-world audio signal and the mutual independence between the host-signal and the embedded watermark and then a correlation-based detector is used to determine the presence or the absence of the watermark. For watermark estimation, blind source separation (BSS) based on independent component analysis (ICA) is used. Low watermark-to-signal ratio (WSR) is one of the limitations of blind detection with the additive embedding model. The proposed detector uses two-stage processing to improve the WSR at the blind detector; the first stage removes the audio spectrum from the watermarked audio signal using linear predictive (LP) filtering and the second stage uses the resulting residue from the LP filtering stage to estimate the embedded watermark using BSS based on ICA. Simulation results show that the proposed detector performs significantly better than existing estimation-correlationbased detection schemes.

Improved Performance of Zerotrees Based Digital Watermarking

  • Panyapolsakul, S.;AmornraksaT.
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.868-871
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    • 2002
  • Nowadays, zerotrees based digital watermarking techniques are considered to be an efficient watermarking technique used for multimedia data in a compressed form. This paper presents a technique for watermarking an image, by employing zerotrees derived from the wavelet packet coefficients of the transformed image to carry the watermark signal. By setting a proper threshold in zerotrees determining process, the watermark signal can be recovered without the need of original image. With our proposed technique, more amount of watermark signal can be embedded within the image, compared to ordinary wavelet transform based techniques. The experimental results show the improved performance in both qualities of the resultant watermarked image and robustness of the embedded watermark signal against common signal processing such as brightness/contrast enhancement, high-pass filtering, Gaussian noise adding and JPEG compression scheme

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Digital Watermarking Using Psychoacoustic Model

  • Poomdaeng, S.;Toomnark, S.;Amornraksa, T.
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.872-875
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    • 2002
  • A digital watermarking technique applying psychoacoustic model for audio signal is proposed in this paper. In the watermarking scheme, the pseudo-random bit stream used as a watermark signal is embedded into the audio signal in both speech and music. The strength of the embedded signal is subject to the human auditory system in such a way that the disturbances on host audio signal are beyond the sensing of human ears. The experimental results show that the quality of the watermarked audio signal, in term of signal to noise ratio, can be improved up to 3.2 dB.

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Wavelet-based Watermarking using Correlation Comparison (상관도 비교를 이용한 웨이블릿 기반 워터마킹)

  • Lee, Hyun-Suk;Vivi Oktavia;Lee, Won-Hyung
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.217-220
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    • 2003
  • This paper presents a wavelet-based digital watermarking scheme for color images. We insert watermarks in the DWI domain using spread-spectrum correlation-based watermarking in luminance component of the color image. The watermark, two pseudorandom patterns, is inserted by modifying the wavelet coefficients at subband HL2, LH2, HH2 according to message bits. To detect watermark, we calculate the correlation between the watermarked image and pseudorandom patterns. As compared with correlations, the watermark detector determines embedding message. Experimental results show that the scheme is not only invisible but also robust to various attacks such as JPEG compression, noise addition and so on.

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A New Digital Watermarking for Architectural Design Drawing Using LINES and ARCs Based on Vertex (건축설계도면상에서 꼭지점에 기반한 LINE과 ARC를 이용한 디지털 워터마킹)

  • Jang, Bong-Ju;Moon, Kwang-Seok;Young Huh;Kwon, Ki-Ryong
    • Proceedings of the IEEK Conference
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    • 2003.11b
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    • pp.247-250
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    • 2003
  • This paper proposed to digital watermarking technique for architectural drawing using LINES and ARCs based on vertex in CAD system to prevent infringement of copyright from unlawfulness reproductions and distribution. After extract LINES and ARCs from designed drawing, we embed watermarks using adaptive algorithm in each characteristics. Watermarks robust to various attacks like as geometrical transformation as being embedded in LINE's length and ARC's angle information. Also, the proposed method satisfies enough transparency about watermarked drawing because have suitable embedding strength to each component. By experimental result, we confirmed robustness and invisibility of embedded watermarks in several conversions of architectural design drawing.

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Video Watermarking Scheme on H.264/AVC using Selective Block Embedding (선택적 블록 삽입을 통한 H.264/AVC에서의 비디오 워터마킹 방법)

  • Kim, Jung-Min;Choi, Young-Soo;Kim, Hyoung-Joong
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.10 no.2
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    • pp.46-52
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    • 2011
  • This paper presents adaptive spread-spectrum watermarking scheme on the H.264/AVC video. The H.264/AVC has become popular video coding since it's compression performance has been improved greatly. That is why there is not enough space for embedding watermark using the spread-spectrum method. To overcome this problem, we propose selective block embedding scheme. The blocks which don't contain non-zero DCT (Discrete Cosine Transform) coefficients are selected by value. So we have enough space to embed watermarks. Experimental result shows that proposed scheme improves recovery rates of watermark about 12% and reduces distortion of watermarked video.

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