Reversible data hiding based on wavelet spread spectrum

Xuan, Guixin; Yang, Chengyun; Zhen, Yizhan; Shi, Yun Q.; Ni, Zhicheng

doi:10.1109/mmsp.2004.1436530

Cited by 26 publications

(3 citation statements)

References 5 publications

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“…In transform domain watermarking, prior to embedding the watermark, transformation such as discrete Fourier transform (DFT) [32][33][34][35][36], discrete-cosine transform (DCT) [37][38][39][40][41][42][43][44][45], discrete-wavelet transform (DWT) [9,22,[46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65], dual tree complex wavelet transform (DTCWT) [66][67][68], contourlet [69][70][71][72], or singular value decomposition (SVD) [44,47,49,52,[73][74][...…”

Section: Transform Domain Techniquesmentioning

confidence: 99%

Watermarking Techniques used in Medical Images: a Survey

2014

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The ever-growing numbers of medical digital images and the need to share them among specialists and hospitals for better and more accurate diagnosis require that patients' privacy be protected. As a result of this, there is a need for medical image watermarking (MIW). However, MIW needs to be performed with special care for two reasons. Firstly, the watermarking procedure cannot compromise the quality of the image. Secondly, confidential patient information embedded within the image should be flawlessly retrievable without risk of error after image decompressing. Despite extensive research undertaken in this area, there is still no method available to fulfill all the requirements of MIW. This paper aims to provide a useful survey on watermarking and offer a clear perspective for interested researchers by analyzing the strengths and weaknesses of different existing methods.

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Section: Transform Domain Techniquesmentioning

confidence: 99%

Watermarking Techniques used in Medical Images: a Survey

2014

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“…As mentioned above, researches on reversible watermarking are mainly focused on raster images. Surveys were made by Feng (2004, 2006) and the existing reversible watermarking for raster images were classified into three categories: lossless compression (Celik et al, 2002(Celik et al, , 2005, difference expansion (Tian, 2003;Alattar, 2004;Weng, 2009;Wang & Hu, 2009) and histogram modification (De et al, 2001;Ni & Shi, 2006;Xuan et al, 2004). Nevertheless, only a few attempts had been made towards vector graphics, such as 3D models and 2D vector maps.…”

Section: Literature Reviewmentioning

confidence: 99%

An Effective Reversible Watermarking for 2D CAD Engineering Graphics Based on Improved QIM

Peng

Lei

2011

International Journal of Digital Crime and Forensics

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Quantization index modulation (QIM) is widely used in watermarking, but QIM cannot be applied to reversible watermarking directly due to its inherent limitations. In this paper, an improvement is made to QIM to make it suitable for reversible watermarking. Based on the improved QIM (IQIM), a reversible watermarking scheme for 2D CAD engineering graphics is proposed. The relative amplitudes and the relative phases of entity vertices are used as hosts to carry the watermark, respectively, and the data recovery is controlled by a secret key. Experimental results indicate that the proposed scheme can strike a good balance between capacity, imperceptibility, robustness, security and complexity.

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“…Therefore, security of the watermark becomes a critical issue in many applications. The problem of watermark security can be solved using spread-spectrum scheme [24][25][26][27]. Spread-spectrum is a military communication scheme invented during World War II [28].…”

Section: Introductionmentioning

confidence: 99%

Secure Spread-Spectrum Watermarking for Telemedicine Applications

Kumar¹,

Singh²,

Singh³

et al. 2011

JIS

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This paper presents a secure spread-spectrum watermarking algorithm for digital images in discrete wavelet transform (DWT) domain. The algorithm is applied for embedding watermarks like patient identification /source identification or doctors signature in binary image format into host digital radiological image for potential telemedicine applications. Performance of the algorithm is analysed by varying the gain factor, subband decomposition levels, size of watermark, wavelet filters and medical image modalities. Simulation results show that the proposed method achieves higher security and robustness against various attacks

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Reversible data hiding based on wavelet spread spectrum

Cited by 26 publications

References 5 publications

Watermarking Techniques used in Medical Images: a Survey

Watermarking Techniques used in Medical Images: a Survey

An Effective Reversible Watermarking for 2D CAD Engineering Graphics Based on Improved QIM

Secure Spread-Spectrum Watermarking for Telemedicine Applications

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