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Journal ArticleDOI

Robust adaptive steganography based on generalized dither modulation and expanded embedding domain

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TLDR
The purpose of this paper is to refine the robust steganographic scheme by considering asymmetric costs for different modification polarities and expanding the embedding domain for digital images, aiming to aggregate the modifications on the elements with small costs.
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This article is published in Signal Processing.The article was published on 2020-03-01. It has received 45 citations till now. The article focuses on the topics: Steganography & Lossy compression.

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Citations
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Journal ArticleDOI

GAN-based spatial image steganography with cross feedback mechanism

TL;DR: A new GAN-based spatial steganographic scheme that builds multiple cross feedback channels between the contraction path and the expansion path of the generator, which allows that the down-sampling information is directly sent to the expansion layer through these feedback channels.
Journal ArticleDOI

Adversarial batch image steganography against CNN-based pooled steganalysis

TL;DR: This paper proposes a general framework of adversarial embedding for batch steganography, in which a new loss function is designed and the batch strategy is combined with adversarialembedding, and shows the proposed method significantly improves the security performance of batch Steganography against pooled steganalysis and keeps a high-security level against single image Steganalysis.
Journal ArticleDOI

GAN-based spatial image steganography with cross feedback mechanism

TL;DR: Wang et al. as mentioned in this paper proposed a new GAN-based spatial steganographic scheme, which builds multiple cross feedback channels between the contraction path and the expansion path of the generator, allowing that the down-sampling information is directly sent to the expansion layer through these feedback channels.
Journal ArticleDOI

Robust steganography resisting JPEG compression by improving selection of cover element

TL;DR: Wang et al. as discussed by the authors proposed an enhanced robust steganographic algorithm to resist against JPEG compression by improving the selection of cover element and calculating the embedding cost for each candidate DCT coefficient.
Journal ArticleDOI

Digital image steganography survey and investigation (goal, assessment, method, development, and dataset)

TL;DR: In this paper , the authors classify image steganography research based on its goals and its assessment tools, and review the use of assessment tools in depth because it is closely related to the goal of steganographic research, including challenges or issues, methods, developments, and popular datasets.
References
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Book

The Theory of Error-Correcting Codes

TL;DR: This book presents an introduction to BCH Codes and Finite Fields, and methods for Combining Codes, and discusses self-dual Codes and Invariant Theory, as well as nonlinear Codes, Hadamard Matrices, Designs and the Golay Code.
Journal ArticleDOI

Quantization index modulation: a class of provably good methods for digital watermarking and information embedding

TL;DR: It is shown that QIM is "provably good" against arbitrary bounded and fully informed attacks, and achieves provably better rate distortion-robustness tradeoffs than currently popular spread-spectrum and low-bit(s) modulation methods.
Journal ArticleDOI

Review: Digital image steganography: Survey and analysis of current methods

TL;DR: This paper provides a state-of-the-art review and analysis of the different existing methods of steganography along with some common standards and guidelines drawn from the literature and some recommendations and advocates for the object-oriented embedding mechanism.
Journal ArticleDOI

Ensemble Classifiers for Steganalysis of Digital Media

TL;DR: This paper proposes an alternative and well-known machine learning tool-ensemble classifiers implemented as random forests-and argues that they are ideally suited for steganalysis.
Book ChapterDOI

Break our steganographic system: the ins and outs of organizing BOSS

TL;DR: This paper summarizes the first international challenge on steganalysis called BOSS (an acronym for Break The authors' Steganographic System), explaining the motivations behind the organization of the contest, its rules together with reasons for them, and the steganographic algorithm developed for the contest.
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