• Title/Summary/Keyword: Digital Watermark

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Copyright Protection for Digital Image by Watermarking Technique

  • Ali, Suhad A.;Jawad, Majid Jabbar;Naser, Mohammed Abdullah
    • Journal of Information Processing Systems
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    • v.13 no.3
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    • pp.599-617
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    • 2017
  • Due to the rapid growth and expansion of the Internet, the digital multimedia such as image, audio and video are available for everyone. Anyone can make unauthorized copying for any digital product. Accordingly, the owner of these products cannot protect his ownership. Unfortunately, this situation will restrict any improvement which can be done on the digital media production in the future. Some procedures have been proposed to protect these products such as cryptography and watermarking techniques. Watermarking means embedding a message such as text, the image is called watermark, yet, in a host such as a text, an image, an audio, or a video, it is called a cover. Watermarking can provide and ensure security, data authentication and copyright protection for the digital media. In this paper, a new watermarking method of still image is proposed for the purpose of copyright protection. The procedure of embedding watermark is done in a transform domain. The discrete cosine transform (DCT) is exploited in the proposed method, where the watermark is embedded in the selected coefficients according to several criteria. With this procedure, the deterioration on the image is minimized to achieve high invisibility. Unlike the traditional techniques, in this paper, a new method is suggested for selecting the best blocks of DCT coefficients. After selecting the best DCT coefficients blocks, the best coefficients in the selected blocks are selected as a host in which the watermark bit is embedded. The coefficients selection is done depending on a weighting function method, where this function exploits the values and locations of the selected coefficients for choosing them. The experimental results proved that the proposed method has produced good imperceptibility and robustness for different types of attacks.

High Quality Audio Watermarking using Spread Spectrum and Psychoacoustic Model (대역확산과 심리음향 모델을 이용한 고음질 오디오 워터마킹)

  • Noh Jin-Soo;Rhee Kang-Hyeon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.5 s.311
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    • pp.48-56
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    • 2006
  • In this paper, we proposed the high quality audio watermarking algorithm using MDCT/IMDCT (Modified DCT/Inverse Modified DCT) with psychoacoustic model. Generally, a digital audio watermark is embedding the frequency domain after frequency transform of the digital audio data but the digital audio quality is affected by watermarking. In our scheme, the digital audio data is spread with PN((Pseudo Noise) code and then audio watermark is embedded in MDCT processing that refers psychoacoustic model. In MDCT processing, according to the shape of filter bank output, the block switching selects a window sequence that has 256, 1,024 or 2,048 points interval for high quality audio. The author confirm that when watermark weight ${\alpha}$ is 2.5 below, the detection ratio of watermark is a satisfied to SDMI's(Secure Digital Music Initiative) recommendation 50% above and SM is $50{\sim}68dB$ range with mainly 4 kind of attacks(Compression, Cropping, FFT and Echo).

A New Watermarking Algorithm Using the Edge and PN Code (에지와 대역확산기술을 이용한 디지털 워터마킹 기법)

  • Song Sang-Ju;Lee Doo-Sung
    • Journal of the Korea Society of Computer and Information
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    • v.9 no.4 s.32
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    • pp.13-18
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    • 2004
  • In this paper, we proposed a new digital watermarking technique. It uses frequency domain of discrete wavelet transform(DWT). watermarking technique is one of the most important tools for DRM(Digital Right Management) We proposed a new algorithm watermark insertion and detection. This technique cleats the watermark sequence using the edge image, spread spectrum technique and DWT. We tested the technique with various attacks. and found that it satisfies the watermarking evaluation criteria. Cox similarity measurement value is more than 6 on the Lena image and PSNR is more than 40dB on JPEG, Collusion. Clopping and Scatting. By the result, we proved that the new technique satisfies the requirement of Digital contents distribution, which are undeletablility tenacity, statistical undetectablility.

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Digital Image Watermarking Scheme in the Singular Vector Domain (특이 벡터 영역에서 디지털 영상 워터마킹 방법)

  • Lee, Juck Sik
    • Journal of the Institute of Convergence Signal Processing
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    • v.16 no.4
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    • pp.122-128
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    • 2015
  • As multimedia information is spread over cyber networks, problems such as protection of legal rights and original proof of an information owner raise recently. Various image transformations of DCT, DFT and DWT have been used to embed a watermark as a token of ownership. Recently, SVD being used in the field of numerical analysis is additionally applied to the watermarking methods. A watermarking method is proposed in this paper using Gabor cosine and sine transform as well as SVD for embedding and extraction of watermarks for digital images. After delivering attacks such as noise addition, space transformation, filtering and compression on watermarked images, watermark extraction algorithm is performed using the proposed GCST-SVD method. Normalized correlation values are calculated to measure the similarity between embedded watermark and extracted one as the index of watermark performance. Also visual inspection for the extracted watermark images has been done. Watermark images are inserted into the lowest vertical ac frequency band. From the experimental results, the proposed watermarking method using the singular vectors of SVD shows large correlation values of 0.9 or more and visual features of an embedded watermark for various attacks.

Digital Watermarking by Rearranging and Modifying DCT Coefficients

  • Lee, Hee sup;Oh, Sang-Heun;Lee, Keun-Young
    • Proceedings of the IEEK Conference
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    • 2000.07b
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    • pp.902-905
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    • 2000
  • Because of the rapid growth of Internet and multimedia applications, how to protect IPR (intellectual property rights) has become a critical issue. Is one of the ways to overcome the problem of the protection of IPR. Digital watermarking call be applied to multimedia data, such as digital images, digital video, and digital audio. In this paper, we propose a digital watermarking technique for digital images to authenticate an owner or an image by embedding visually recognizable patterns, such as logos, signatures, or stamps into images In BDCT (block discrete cosine transform) frequency domain. The proposed method sorts the components of an original image twice. At the same time, the method, also, rearranges the components of a watermark twice in order to be more robust, and finally embeds the watermark into the image. From the experimental results, the conjunction of three similarity measurements shows that our proposed method is robust to image cropping, image filtering, and JPEG (the Joint Photographic Experts Group) both subjectively and objectively.

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Image Watermarking Using Wavelet Coefficient (웨이브렛 계수를 이용한 영상 워터마킹)

  • 임용순;강은영
    • Proceedings of the IEEK Conference
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    • 2003.07d
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    • pp.1701-1704
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    • 2003
  • In this paper, we proposed an watermarking algorithm in which invariable sign of DWT coefficients should be used and by which the quality of digital image can be preserved for the protection of copyright. According to the algorithm, through the calculation of the sign DWT coefficients and the use of elements, position of watermark and size value should be decided. By so doing, the algorithm can improve image quality(PSNR) and obtain good efficiency with which strong watermark can be inserted into the digital image.

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WATERMARKING OF DIGITAL IMAGES BASED ON PRINCIPAL COMPONENT ANALYSIS

  • Thai, Hien-Duy;Zensho Nakao;Chen, Yen-Wei
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.484-487
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    • 2003
  • A new domain PCA-based approach to watermarking is presented. This method is applied to digital images to embed and detect a watermark. The performance of PCA approach is compared to traditional frequency domain watermark models. Simulation shows the performance of the proposed method with excellent result against image cropping and robustness against some attacks such as additive noise, filtering and jpeg compression.

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Digital Image Watermarking using Spread Spectrum Techniques in DCT domain (DCT 영역에서 대역확산에 의한 디지털 영상 워터마킹)

  • 윤철환;김형준;정창훈;나종화;신승중;류대현
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.213-216
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    • 2003
  • In this paper, we propose a digital watermarking method using the spread spectrum techniques in DCT domain. Watermark is embedded in the middle band frequencies of 8$\times$8 DCT block. Therefore, we improve image quality and robustness. Experiment results show that the proposed watermark is robust against various attack.

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A Digital Watermarking Technique using Wavelet Transform and Discrete Cosine Transform (웨이브렛 변환과 DCT를 이용한 digital watermarking 기법)

  • 김종원;조정석;이한호;최종욱
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10c
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    • pp.568-570
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    • 1998
  • 본 연구는 Wavelet Transform을 이미지 처리에 적용하여 지적재산권 보호를 위한 Watermarking 기술을 연구하였다. Watermark가 이미지에 Invisible하게 삽입되면서 압축, Filtering, truncation등과 같은 이미지 처리에도 강력한 Watermark 기술 연구에 중점을 두었다. 특히 완벽한 복원을 위하여 Wavelet Transform을 사용하였고, 또한 DCT기술을 접목시킴으로 해서 압축에 강력한 결과를 나타내게 되었다.

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Robust Digital Image Watermarking Algorithm Using RBF Neural Networks in DWT domain

  • Piao, Cheng-Ri;Guan, Qiang;Choi, Jun-Rim;Han, Seung-Soo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.2
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    • pp.143-147
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    • 2007
  • This paper proposes a new watermarking scheme in which a logo watermark is embedded into the discrete wavelet transform (DWT) domain of the original image using exact radial basis function neural networks (RBF). RBF will learn the characteristics of the image, and then watermark is embedded and extracted by the trained RBF. A watermark is added to the coefficients at the low frequency band of the DWT of an image and a watermark is embedded into the DWT domain using the trained RBF. The trained RBF also used in watermark extracting process. Experimental results show that the proposed method has good imperceptibility and high robustness to common image processing attacks.