Approaching the capacity limit in image watermarking: a perspective on coding techniques for data hiding applications

Pérez-González, Fernando; Hernández, Juan Ramón Hernández; Balado, Félix

doi:10.1016/s0165-1684(01)00040-8

Cited by 33 publications

(20 citation statements)

References 17 publications

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“…This is the major difference between 1-bit verification and multi-bit detection methods. In this latter category, Barni et al [15] introduce a multiplicative watermarking while Perez-Gonzalez et al [34] refer to additive watermarking. Recently, a heuristic multi-bit data hiding method based on the multiband wavelet transform and the empirical mode decomposition [35] is introduced in [31].…”

mentioning

confidence: 99%

Robust Scaling-Based Image Watermarking Using Maximum-Likelihood Decoder With Optimum Strength Factor

Akhaee

Sahraeian

Sankur

et al. 2009

IEEE Trans. Multimedia

113

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Abstract-In this paper, a new scaling-based image-adaptive watermarking system has been presented, which exploits human visual model for adapting the watermark data to local properties of the host image. Its improved robustness is due to embedding in the low-frequency wavelet coefficients and optimal control of its strength factor from HVS point of view. Maximum-likelihood (ML) decoder is used aided by the channel side information. The performance of the proposed scheme is analytically calculated and verified by simulation. Experimental results confirm the imperceptibility of the proposed method and its higher robustness against attacks compared to alternative watermarking methods in the literature.Index Terms-Human visual system (HVS), maximum-likelihood decoder, scaling-based image watermarking, wavelet transform.

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mentioning

confidence: 99%

Robust Scaling-Based Image Watermarking Using Maximum-Likelihood Decoder With Optimum Strength Factor

Akhaee

Sahraeian

Sankur

et al. 2009

IEEE Trans. Multimedia

113

View full text Add to dashboard Cite

show abstract

“…(21) can identify the right watermarks embedded in the images with the detection probability P D = 1. Watermarking desynchronization is one of the most effective attack against any digital watermarking scheme [1,7,8,10,15,34,35]. In the proposed watermarking scheme of Sec.…”

Section: Experimental Results Of Attacks Of Dithering and Desynchronimentioning

confidence: 99%

“…Digital image watermarking, as a tool for copyright protection of images, has attracted significant attention [1][2][3][4][5][6][7][8][9][10][11][12]. A digital watermark contains information about the copyright owner, the authorized consumer or other information needed to be embedded, while the image acts as a host to which digital watermarks are adhered to [1][2][3][4][5][6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…A digital watermark contains information about the copyright owner, the authorized consumer or other information needed to be embedded, while the image acts as a host to which digital watermarks are adhered to [1][2][3][4][5][6][7][8][9][10][11][12][13]. So far, there are mainly two main proposed watermarking techniques, i.e., embedding the watermark in the spatial domain [1, 5-7, 12, 13] or in the transformed domain [1,6,11,16,18,26,27] of a host image.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the Sign Detector for DCT Domain Watermark Detection

2011

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Reordering by the rule of decreased absolute amplitudes, the discrete cosine transformation (DCT) coefficients of an image are approximately modeled as dichotomous noise. Based on this assumption, it is interesting to note that the classical multiplicative embedding method can be transformed into an additive embedding rule, which accords with the signal processing problem of detecting a known weak signal in additive non-Gaussian noise. Then, following the generalized Neyman-Pearson lemma, a locally optimum detector, named the sign detector, is introduced to distinguish the correct watermark from the wrong ones. The statistical characteristics of this nonlinear sign detector are analytically investigated in detail. Extensive experimental results demonstrate the robustness of watermark against some common attacks, e.g., JPEG compression, cropping, filtering, additive Gaussian noise, dithering, and also verify the robust performance of the nonlinear sign detector for watermark detection.

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“…In the first class, often known as multibit watermarking, a specific data, such as ID or track number, is embedded into the host data. In this case, the embedded watermark communicates a multibit message which must be extracted accurately at the decoding side [10,11]. In the second class, it is not known whether a candidate watermark is embedded in the input data.…”

Section: Introductionmentioning

confidence: 99%

Region-Based Watermarking of Biometric Images: Case Study in Fingerprint Images

Zebbiche

Khelifi

2008

International Journal of Digital Multimedia Broadcasting

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In this paper, a novel scheme to watermark biometric images is proposed. It exploits the fact that biometric images, normally, have one region of interest, which represents the relevant part of information processable by most of the biometric-based identification/authentication systems. This proposed scheme consists of embedding the watermark into the region of interest only; thus, preserving the hidden data from the segmentation process that removes the useless background and keeps the region of interest unaltered; a process which can be used by an attacker as a cropping attack. Also, it provides more robustness and better imperceptibility of the embedded watermark. The proposed scheme is introduced into the optimum watermark detection in order to improve its performance. It is applied to fingerprint images, one of the most widely used and studied biometric data. The watermarking is assessed in two well-known transform domains: the discrete wavelet transform (DWT) and the discrete Fourier transform (DFT). The results obtained are very attractive and clearly show significant improvements when compared to the standard technique, which operates on the whole image. The results also reveal that the segmentation (cropping) attack does not affect the performance of the proposed technique, which also shows more robustness against other common attacks.

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Approaching the capacity limit in image watermarking: a perspective on coding techniques for data hiding applications

Cited by 33 publications

References 17 publications

Robust Scaling-Based Image Watermarking Using Maximum-Likelihood Decoder With Optimum Strength Factor

Robust Scaling-Based Image Watermarking Using Maximum-Likelihood Decoder With Optimum Strength Factor

Evaluation of the Sign Detector for DCT Domain Watermark Detection

Region-Based Watermarking of Biometric Images: Case Study in Fingerprint Images

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