• Title, Summary, Keyword: Cropping attack

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Robust Blind Watermarking using DCT Texture Block Coefficient (DCT 질감 블록 계수를 이용한 강인한 블라인드 워터마킹)

  • Shin, Yong-Dal;Park, Kyung-Nam
    • Journal of the Korea Industrial Information Systems Research
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    • v.13 no.4
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    • pp.108-114
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    • 2008
  • In this paper, we proposed robust blind watermarking algorithm using texture block coefficient based on discrete cosine transform(DCT). The proposed method embedded all of watermark signals into DC component of $8\times8$ block DCT in order to robust various external attack The texture block coefficient was composed absolute value of DCT coefficients. Experiment showed that the proposed method better than conventional methods in the invisibility and various attack such as dithering, cropping, and scaling.

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Log-Polar Image Watermarking based on Invariant Centroid as Template (불변의 무게중심을 템플릿으로 이용한 대수-극 좌표계 영상 워터마킹 기법)

  • 김범수;유광훈;김우섭;곽동민;송영철;최재각;박길흠
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.3
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    • pp.341-351
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    • 2003
  • Digital image watermarking is the method that can protect the copyright of the image by embedding copyright information, which is called watermark. Watermarking must have robustness to intentional or unintentional data changing, called attack. The conventional watermarking schemes are robust to waveform attacks such as image compression, filtering etc. However, they are vulnerable to geometrical attacks such as rotation, scaling, translation, and cropping. Accordingly, this paper proposes new watermarking scheme that is robust to geometrical attacks by using invariant centroid. Invariant centroid is the gravity center of a central area in a gray scale image that remains unchanged even when the image is attacked by RST including cropping and proposed scheme uses invariant centroids of original and inverted image as the template. To make geometrically invariant domain, template and angle compensated Log -Polar Map(LPM) is used. Then Discrete Cosine Transform(DCT) is performed and the watermark is embedded into the DCT coefficients. Futhermore, to prevent a watermarked image from degrading due to interpolation during coordinate system conversion, only the image of the watermark signal is extracted and added to the original image. Experimental results show that the proposed scheme is especially robust to RST attacks including cropping.

An Efficient Selective Method for Audio Watermarking Against De-synchronization Attacks

  • Mushgil, Baydaa Mohammad;Adnan, Wan Azizun Wan;Al-hadad, Syed Abdul-Rahman;Ahmad, Sharifah Mumtazah Syed
    • Journal of Electrical Engineering and Technology
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    • v.13 no.1
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    • pp.476-484
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    • 2018
  • The high capacity audio watermarking algorithms are facing a main challenge in satisfying the robustness against attacks especially on de-synchronization attacks. In this paper, a robust and a high capacity algorithm is proposed using segment selection, Stationary Wavelet Transform (SWT) and the Quantization Index Modulation (QIM) techniques along with new synchronization mechanism. The proposed algorithm provides enhanced trade-off between robustness, imperceptibility, and capacity. The achieved watermarking improves the reliability of the available watermarking methods and shows high robustness towards signal processing (manipulating) attacks especially the de-synchronization attacks such as cropping, jittering, and zero inserting attacks. For imperceptibility evaluation, high signal to noise ratio values of above 22 dB has been achieved. Also subjective test with volunteer listeners shows that the proposed method has high imperceptibility with Subjective Difference Grade (SDG) of 4.76. Meanwhile, high rational capacity up to 176.4 bps is also achieved.

Image Watermarking Robust to Geometrical Attacks based on Normalization using Invariant Centroid (불변의 무게중심을 이용한 영상 정규화에 기반한 기하학적 공격에 강인한 워터마킹)

  • 김범수;최재각
    • Journal of KIISE:Information Networking
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    • v.31 no.3
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    • pp.243-251
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    • 2004
  • This paper proposes a digital image watermarking scheme, which is robust to geometrical attacks. The method improves image normalization-based watermarking (INW) technique that doesn't effectively deal with geometrical attacks with cropping. Image normalization is based on the moments of the image, however, in general, geometrical attacks bring the image boundary cropping and the moments are not preserved original ones. Thereafter the normalized images of before and after are not same form, i.e., the synchronization is lost. To solve the cropping problem of INW, Invariant Centroid (IC) is proposed in this paper. IC is a gravity center of a central area on a gray scale image that is invariant although an image is geometrically attacked and the only central area, which has less cropping possibility by geometrical attacks, is used for normalization. Experimental results show that the IC-based method is especially robust to geometrical attack with cropping.

Audio Watermarking Using Specific Frequency Coefficients (특정 주파수계수를 이용한 오디오 워터마킹)

  • 우동훈;정의필
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.4
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    • pp.269-275
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    • 2003
  • In this paper, we proposed the robust watermark diminishing distortion of the original data inserting the watermark in specific coefficients of the frequency domain. In case the alpha is more than 0.5. we found that proposed watermark is detected by experiment of MP3, FFT, Cropping and Echo attack. Our proposed method improved the Cox's method in the SNR aspect.

Robust Audio Watermarking Method Under Capturing Attacks (캡쳐링 공격에 강인한 오디오 워터마킹 방법)

  • Lee, Seung-Jae;Lee, Sang-Kwang;Seo, Jin-S.
    • Proceedings of the IEEK Conference
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    • pp.375-376
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    • 2006
  • In this paper, we propose a wavelet-based audio watermarking algorithm to be robust against capturing attack. Commercial capturing tools enable us to obtain audio contents without noticeable degradation in audio quality, and it is possible to be a source of illegal distribution. By adjusting mean values of the lowest subband in audio, the proposed method can survive after capturing attack including sampling rate conversion, random cropping and compression. By applying a simple human auditory model, the inaudibility of the watermark is achieved, and detection probability is improved based on the difference information. This is confirmed by experimental results.

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Digital Watermarking using Of-axis Hologram (비축 홀로그램을 이용한 디지털 워터마킹)

  • 김규태;김종원;김수길;최종욱
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.3
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    • pp.183-194
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    • 2004
  • We propose a now watermarking scheme that can be used to embed multiple bits and also resilient to geometrical transforms such as scaling, rotation, and cropping, based on off - axis holographic watermark that allows multiple watermark recovery without original content(cover image). The holographic watermark is that Fourier transformed digital hologram is embedded into cover image in the spatial domain. The proposed method has not only increased robustness with a stronger embedding but also imprescriptibility of the watermark in the evaluation process. To compare with the convention기 scheme, the spread spectrum, we embedded and recovered maximum 1,024 bits that consist of binary number over PSNR(peak signal-to-noise ratio) 39dB. And also, we computed robustness with BER(bit error rate) corresponding the above attack

3D Face Image Watermarking using Wavelet Transform (웨이브렛 변환을 이용한 3차원 얼굴영상 워터마킹)

  • 이정환;박세훈;이시웅
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.691-694
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    • 2003
  • This paper proposes an 3D face image watermarking method based on discrete wavelet transform(DWT). First, 3D face image are transformed by DWT and inserted gaussian watermark into frequency domain. To increase the robustness and perceptual invisibility of watermark, the proposed algorithm is combined with the characteristics of 3D face image and human visual system. The proposed method is invisible and blind watermarking which the original image is not required. Simulation results show that the proposed method is robust to the general attack such as JPEG compression, enhancement, noise, cropping, and filtering etc.

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Digital Image Watermarking based on Wavelet Transform and Spatial (웨이브렛 변환 및 공간지각특성을 이용한 디지털영상 워터마킹)

  • Bae, Mi-Young;Lee, Jeong-Hwan;Kim, Yun-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.1165-1168
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    • 2005
  • This paper proposes an digital image watermarking method based on discrete wavelet transform(DWT) and spatial perceptual properties of human visula system. first, an digital image is transformed by DWT and inserted gaussian watermark into the frequency domain. To increase the robustness and perceptual invisibility of watermark, the proposed algorithm is combined with the characteristics of digital image and human visual system. The proposed method is invisible and blind watermarking which the original image is not required to detect watermarks. Simulation results show that the proposed method is robust to the general attack such as JPEG compression, enhancement, noise, cropping, and filtering etc.

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An LBX Interleaving Watermarking Method with Robustness against Image Removing Attack (영상제거 공격에 강인한 LBX 인터리빙 워터마킹 방법)

  • 고성식;김정화
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.6
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    • pp.1-7
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    • 2004
  • The rapid growth of digital media and communication networks has created an urgent need for self-contained data identification methods to create adequate intellectual property right(IPR) protection technology. In this paper we propose a new watermarking method that could embed the gray-scale watermark logo in low frequency coefficients of discrete wavelet transform(DWT) domain as the marking space by using our Linear Bit-eXpansion(LBX) interleaving of gray-scale watermark, to use lots of watermark information without distortion of watermarked image quality and particularly to be robust against attack which could remove a part of image. Experimental results demonstrated the high robustness in particular against attacks such as image cropping and rotation which could remove a part of image.