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Dinu Coltuc - One of the best experts on this subject based on the ideXlab platform.

  • ICASSP - Improved control for low bit-rate reversible watermarking
    2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014
    Co-Authors: Ion Caciula, Dinu Coltuc
    Abstract:

    The Distortion introduced by reversible watermarking depends on the Embedding bit-rate. This paper proposes a fine control of the Embedding bit-rate for low capacity histogram shifting reversible watermarking. The basic idea of our approach is to split the prediction error histogram into several histograms and to ensure the fine tuning of the bit-rate by selecting the appropriate bins for each histogram. The splitting is performed as a function of the prediction context. The bins (two for each histogram, one for the right side, another for the left side of the histogram) are selected by linear programming in order to minimize the Distortion introduced by the watermarking. The proposed scheme outperforms in terms of Embedding Distortion the prior state of the art.

  • context Embedding for raster scan rhombus based reversible watermarking
    Information Hiding, 2013
    Co-Authors: Dinu Coltuc, Ioancatalin Dragoi
    Abstract:

    The Embedding not only into the current pixel, but also into the prediction context was recently proposed as an improvement of difference expansion reversible watermarking algorithms. So far it was shown that the effect of splitting the data between the current pixel and the prediction context decreases the Embedding Distortion, but increases the prediction error. This paper revisits the case of context Embedding for the case of pixel prediction on the rhombus composed of the two vertical and the two horizontal neighbors. For this case it appears that the context Embedding can be used not only to reduce the Embedding Distortion, but also to improve the prediction. The gain provided by the improvement of the prediction outperforms the one provided by the reduction of the Embedding Distortion. Experimental results are provided.

  • IH&MMSec - Context Embedding for raster-scan rhombus based reversible watermarking
    Proceedings of the first ACM workshop on Information hiding and multimedia security - IH&MMSec '13, 2013
    Co-Authors: Dinu Coltuc, Ioancatalin Dragoi
    Abstract:

    The Embedding not only into the current pixel, but also into the prediction context was recently proposed as an improvement of difference expansion reversible watermarking algorithms. So far it was shown that the effect of splitting the data between the current pixel and the prediction context decreases the Embedding Distortion, but increases the prediction error. This paper revisits the case of context Embedding for the case of pixel prediction on the rhombus composed of the two vertical and the two horizontal neighbors. For this case it appears that the context Embedding can be used not only to reduce the Embedding Distortion, but also to improve the prediction. The gain provided by the improvement of the prediction outperforms the one provided by the reduction of the Embedding Distortion. Experimental results are provided.

  • improved Embedding for prediction based reversible watermarking
    IEEE Transactions on Information Forensics and Security, 2011
    Co-Authors: Dinu Coltuc
    Abstract:

    This paper aims at reducing the Embedding Distortion of prediction error expansion reversible watermarking. Instead of Embedding the entire expanded difference into the current pixel, the difference is split between the current pixel and its prediction context. The modification of the context generates an increase of the following prediction errors. Global optimization is obtained by tuning the amount of data embedded into context pixels. Prediction error expansion reversible watermarking schemes based on median edge detector (MED), gradient-adjusted predictor (GAP), and a simplified GAP version, SGAP, are investigated. Improvements are obtained for all the predictors. Notably good results are obtained for SGAP-based schemes. The improved SGAP appears to outperform GAP-based reversible watermarking.

Bin Yang - One of the best experts on this subject based on the ideXlab platform.

  • reversible data hiding scheme for color image based on prediction error expansion and cross channel correlation
    Signal Processing, 2013
    Co-Authors: Bin Yang
    Abstract:

    In this paper, we present a reversible data hiding (RDH) algorithm for color image. The traditional RDH technique regarding color image embeds data into each color channel independently. Considering that the color channels correlate with each other, we propose a RDH algorithm based on prediction-error expansion that can enhance the prediction accuracy in one color channel through exploiting the edge information from another channel. By doing so, the entropy of the prediction-error is decreased statistically, and consequently, the algorithm efficiency is increased in terms of data hiding rate versus Embedding Distortion. Extensive experimental results demonstrate that the proposed algorithm outperforms the traditional RDH methods independently Embedding data into each channel.

  • a novel integer transform for efficient reversible watermarking
    International Conference on Pattern Recognition, 2012
    Co-Authors: Xinlu Gui, Bin Yang
    Abstract:

    In this paper, based on a novel integer transform, an efficient reversible image watermarking method is proposed. The integer transform is a generalization of some previous works. It can be applied to a pixel block of arbitrary size with adjustable capacities. Moreover, this transform is conducted by conditionally Embedding data only when the estimated Distortion is acceptable. By this approach, our method can effectively reduce the Embedding Distortion while providing a high capacity. The experimental results show that the proposed method outperforms some state-of-the-art works.

  • high capacity reversible image watermarking based on integer transform
    International Conference on Image Processing, 2010
    Co-Authors: Chao Wang, Bin Yang
    Abstract:

    Many reversible watermarking algorithms have been proposed in the literature, and all of these solutions put emphasis on high Embedding capacity with low Distortion. In this paper, a novel reversible image watermarking method based on integer transform is presented. Through taking pixel block of arbitrary size as Embedding unit, the method can provide a very high Embedding capacity. For instance, it can embed as large as 1.85 bits per pixel in “Lena”. Besides, by pre-estimating the Embedding Distortion, one can suitably select embeddable blocks so that the visual quality of the watermarked image is well guaranteed. Furthermore, extensive experiments show that the novel method performs better than some state-of-the-art algorithms.

  • reversible image watermarking based on a generalized integer transform
    International Conference on Acoustics Speech and Signal Processing, 2010
    Co-Authors: Xudong Chen, Bin Yang, Yingmin Tang
    Abstract:

    In this paper, a recently proposed reversible image watermarking algorithm based on reversible contrast mapping (RCM) is further developed. The integer transform, RCM, which is originally defined on a pair of integers, is extended to integer array of arbitrary length. Based on this generalization, the Embedding capacity can be significantly increased. Meanwhile, the Embedding Distortion is well controlled by a suitable selection of embeddable pixel blocks. In fact, the hidden data is priorly embedded into the blocks that introduce less Distortion. Furthermore, the proposed scheme does not need additional data compression, and it has low computational complexity. The experiments verify that the novel scheme outperforms the original RCM-based method and some state-of-the-art reversible watermarking algorithms, especially the ones based on integer transform.

  • ICASSP - Reversible image watermarking based on a generalized integer transform
    2010 IEEE International Conference on Acoustics Speech and Signal Processing, 2010
    Co-Authors: Chen Xudong, Bin Yang, Yingmin Tang
    Abstract:

    In this paper, a recently proposed reversible image watermarking algorithm based on reversible contrast mapping (RCM) is further developed. The integer transform, RCM, which is originally defined on a pair of integers, is extended to integer array of arbitrary length. Based on this generalization, the Embedding capacity can be significantly increased. Meanwhile, the Embedding Distortion is well controlled by a suitable selection of embeddable pixel blocks. In fact, the hidden data is priorly embedded into the blocks that introduce less Distortion. Furthermore, the proposed scheme does not need additional data compression, and it has low computational complexity. The experiments verify that the novel scheme outperforms the original RCM-based method and some state-of-the-art reversible watermarking algorithms, especially the ones based on integer transform.

Yuan-gen Wang - One of the best experts on this subject based on the ideXlab platform.

  • Transportation Spherical Watermarking
    IEEE Transactions on Image Processing, 2018
    Co-Authors: Yuan-gen Wang
    Abstract:

    During the past twenty years, there has been a great interest in the study of spread spectrum (SS) watermarking. However, it is still a challenging task to design a secure and robust SS watermarking method. In this paper, we first define a family of secure SS watermarking methods, named as spherical watermarking (SW). The watermarked correlation of SW is defined to be uniformly distributed on a spherical surface, and this makes SW be key-secure against the watermarked-only attack. Then, we propose an implementation of SW, called transportation SW (TSW), which is designed to decrease Embedding Distortion in a recursive manner using the transportation theory, meanwhile keeping the security of SW. Moreover, we present a theoretical analysis of the Embedding Distortion and robustness of the proposed method. Finally, extensive experiments are conducted on simulated signals and real images. The experimental results show that TSW is more robust than existing secure SS watermarking methods.

  • ICIP - Recursive optimization of spherical watermarking using transportation theory
    2015 IEEE International Conference on Image Processing (ICIP), 2015
    Co-Authors: Yuan-gen Wang, Jian Cao, Guopu Zhu
    Abstract:

    In this paper, we first define a class of secure spread spectrum (SS) watermarking, called spherical watermarking (SW), of which the distribution of the watermarked correlations has a uniform distribution over a spherical surface. Then, we propose an implementation of SW, namely transportation SW (TSW), which recursively minimizes Embedding Distortion using transportation theory. A theoretical analysis is also presented on the performance of the proposed TSW scheme in terms of the watermark to content power ratio (WCR), and is validated by our simulations. Simulation results show that TSW performs better in terms of WCR and robustness than existing secure SS watermarking schemes.

  • An improved sample projection approach for image watermarking
    Digital Signal Processing, 2014
    Co-Authors: Yuan-gen Wang, Guopu Zhu, Jiwu Huang
    Abstract:

    Very recently, a novel watermarking scheme named sample projection approach (SPA) has been proposed by Akhaee et al. [1] to improve the watermarking performance against gain attacks. The SPA embeds one message symbol into four signal samples by projecting the line segment formed by the four samples on a certain specific codeline. Based on the SPA, this paper presents an improved sample projection approach (ISPA) by introducing a set of modified codelines to decrease Embedding Distortion and constructing the long line segments to increase robustness. According to our theoretical analysis of document-to-watermark ratio (DWR), the modified codelines result in a lower Embedding Distortion than the SPA@?s codelines in the same conditions with regard to payload and robustness. We also derive a theoretical expression for the symbol error rate (SER) of the ISPA against additive white Gaussian noise (AWGN) attack. The numerous experiments conducted on both artificial Gaussian signals and the natural images show that the proposed ISPA outperforms the SPA in terms of robustness against attacks.

Jiwu Huang - One of the best experts on this subject based on the ideXlab platform.

  • Secure Halftone Image Steganography Based on Feature Space and Layer Embedding.
    IEEE transactions on cybernetics, 2020
    Co-Authors: Junjia Chen, Jiwu Huang, Junhong Zhang, Jian Weng, Yicong Zhou
    Abstract:

    Syndrome-trellis codes (STCs) are commonly used in image steganographic schemes, which aim at minimizing the Embedding Distortion, but most Distortion models cannot capture the mutual interaction of Embedding modifications (MIEMs). In this article, a secure halftone image steganographic scheme based on a feature space and layer Embedding is proposed. First, a feature space is constructed by a characterization method that is designed based on the statistics of 4 x 4 pixel blocks in halftone images. Upon the feature space, a generalized steganalyzer with good classification ability is proposed, which is used to measure the Embedding Distortion. As a result, a Distortion model based on a hybrid feature space is constructed, which outperforms some state-of-the-art models. Then, as the Distortion model is established on the statistics of local regions, a layer Embedding strategy is proposed to reduce MIEM. It divides the host image into multiple layers according to their relative positions in 4 x 4 blocks, and the Embedding procedure is executed layer by layer. In each layer, any two pixels are located at different 4 x 4 blocks in the original image, and the Distortion model makes sure that the calculation of pixel Distortions is independent. Between layers, the pixel Distortions of the current layer are updated according to the previous Embedding modifications, thus reducing the total Embedding Distortion. Comparisons with prior schemes demonstrate that the proposed steganographic scheme achieves high statistical security when resisting the state-of-the-art steganalysis.

  • a new cost function for spatial image steganography
    International Conference on Image Processing, 2014
    Co-Authors: Ming Wang, Jiwu Huang
    Abstract:

    A well defined cost function is crucial to steganography under the scenario of minimizing Embedding Distortion. In this paper, we present a new cost function for spatial image steganography. The proposed cost function is designed by using a high-pass filter to locate the less predictable parts in an image, and then using two low-pass filters to make the low cost values more clustered. Experiments show that the steganographic method with the proposed cost function makes the Embedding changes more concentrated in texture regions, and thus achieves a better performance on resisting the state-of-the-art steganalysis over prior works, including HUGO, WOW, and S-UNIWARD.

  • ICIP - A new cost function for spatial image steganography
    2014 IEEE International Conference on Image Processing (ICIP), 2014
    Co-Authors: Ming Wang, Jiwu Huang
    Abstract:

    A well defined cost function is crucial to steganography under the scenario of minimizing Embedding Distortion. In this paper, we present a new cost function for spatial image steganography. The proposed cost function is designed by using a high-pass filter to locate the less predictable parts in an image, and then using two low-pass filters to make the low cost values more clustered. Experiments show that the steganographic method with the proposed cost function makes the Embedding changes more concentrated in texture regions, and thus achieves a better performance on resisting the state-of-the-art steganalysis over prior works, including HUGO, WOW, and S-UNIWARD.

  • An improved sample projection approach for image watermarking
    Digital Signal Processing, 2014
    Co-Authors: Yuan-gen Wang, Guopu Zhu, Jiwu Huang
    Abstract:

    Very recently, a novel watermarking scheme named sample projection approach (SPA) has been proposed by Akhaee et al. [1] to improve the watermarking performance against gain attacks. The SPA embeds one message symbol into four signal samples by projecting the line segment formed by the four samples on a certain specific codeline. Based on the SPA, this paper presents an improved sample projection approach (ISPA) by introducing a set of modified codelines to decrease Embedding Distortion and constructing the long line segments to increase robustness. According to our theoretical analysis of document-to-watermark ratio (DWR), the modified codelines result in a lower Embedding Distortion than the SPA@?s codelines in the same conditions with regard to payload and robustness. We also derive a theoretical expression for the symbol error rate (SER) of the ISPA against additive white Gaussian noise (AWGN) attack. The numerous experiments conducted on both artificial Gaussian signals and the natural images show that the proposed ISPA outperforms the SPA in terms of robustness against attacks.

Shuoling Peng - One of the best experts on this subject based on the ideXlab platform.

  • a novel quantization watermarking scheme by modulating the normalized correlation
    International Conference on Acoustics Speech and Signal Processing, 2012
    Co-Authors: Shuoling Peng
    Abstract:

    This paper presents a novel quantization based watermarking scheme. Watermark Embedding is performed through modulating the normalized correlation between the host vector and a random vector with dither modulation. The watermarked signal is derived to provide the modulated normalized correlation in the sense of minimizing the Embedding Distortion. The proposed scheme is theoretically invariant to valumetric scaling and can resist stronger noise than the well-known spread transform dither modulation. Numerical simulations on real images show that it achieves the good imperceptibility and strong robustness against a wide range of attacks.

  • ICASSP - A novel quantization watermarking scheme by modulating the normalized correlation
    2012 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2012
    Co-Authors: Shuoling Peng
    Abstract:

    This paper presents a novel quantization based watermarking scheme. Watermark Embedding is performed through modulating the normalized correlation between the host vector and a random vector with dither modulation. The watermarked signal is derived to provide the modulated normalized correlation in the sense of minimizing the Embedding Distortion. The proposed scheme is theoretically invariant to valumetric scaling and can resist stronger noise than the well-known spread transform dither modulation. Numerical simulations on real images show that it achieves the good imperceptibility and strong robustness against a wide range of attacks.

  • CIS - Novel Quantization Watermarking Based on Random Angle Modulation
    2011 Seventh International Conference on Computational Intelligence and Security, 2011
    Co-Authors: Xinshan Zhu, Shuoling Peng
    Abstract:

    This paper presents a novel quantization based watermarking scheme. Watermark Embedding is performed through modulating the angle between the host vector and a random vector with dither modulation technique. The watermarked signal with the modulated angle is derived in the sense of minimizing the Embedding Distortion. The proposed scheme is theoretically invariant to valumetric scaling and can resist stronger noise than the well-known spread transform dither modulation. Numerical simulations on real images show that it achieves the good imperceptibility and strong robustness against a wide range of attacks.