Reversible data hiding in the encrypted images (RDHEI) has attracted more attention because RDHEI can be used for both information protection and image encryption. Many researches based on RDHEI have been proposed by ...
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Data hiding method embed secret data inside a cover medium. Image quality and capacity plays a significant role in the performance of data hiding. The motivation of this paper is to improve the interpolation technique...
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Data hiding method embed secret data inside a cover medium. Image quality and capacity plays a significant role in the performance of data hiding. The motivation of this paper is to improve the interpolation technique and bit plane data hiding method using edge quad-tree block complexity. Edges in the cover image are identified using edge detector and are further partitioned using quad-tree. The edges are smooth regions divided into smaller blocks in order to obtain good embedding capacity, whereas the rough regions involve those regions other than the edges and are kept as larger blocks to avoid distortion. Each quad-tree block is implemented with up-sampling interpolation based on edges and every pixel is divided into two-bit plane namely high and low bit plane. In each bit plane, two different data are embedded based on their hiding capacity. The hiding capacity of the high bit plane is calculated by two prediction levels namely Pixel Value Differencing and block complexity. In low bit plane, Least Significant Bit method is used for hiding the data. Experimental results demonstrate that the proposed method significantly improved the embedding performance, capacity and also resist to attacks when compared to other state-of-the-art methods.
In this paper, an adaptive steganography algorithm based on block complexity and matrix embedding is proposed. The matrix embedding constructed by [8,3], [8,4] [8,5] [8,6] and [8,7] linear codes is taken as the basic ...
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In this paper, an adaptive steganography algorithm based on block complexity and matrix embedding is proposed. The matrix embedding constructed by [8,3], [8,4] [8,5] [8,6] and [8,7] linear codes is taken as the basic embedding strategy. Each block with 2 x 4 pixels is used as a cover unit and its block complexity is computed by neighboring pixel difference. The embedding strategy sets are defined for seven kinds of blocks with different complexity. The corresponding embedding strategies are determined by resolving the embedding risk minimization problem. The adaption manners guarantee that message bits are mainly embedded into the regions with higher complexity values. Experiments are performed and the results show that the proposed method can provide a moderate capacity with lower distortion and have higher resistance ability against the chosen steganalytic algorithms.
Every symbolic system supports a Borel measure that is invariant under the shift, but it is not known if every such systems supports a measure that is invariant under all of its automorphisms, known as a characteristi...
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Every symbolic system supports a Borel measure that is invariant under the shift, but it is not known if every such systems supports a measure that is invariant under all of its automorphisms, known as a characteristic measure. We give sufficient conditions to find a characteristic measure, additionally showing when it can be taken to be a measure of maximal entropy. The class of systems to which these sufficient conditions apply is large, containing a dense G delta\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$G_{\delta }$$\end{document} set in the space of all shifts on a given alphabet, and is also large in the sense that it is closed under taking factors. We also investigate natural systems to which these sufficient conditions apply.
We consider the problem of when a symbolic dynamical system supports a Borel probability measure that is invariant under every element of its automorphism group. It follows readily from a classical result of Parry tha...
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We consider the problem of when a symbolic dynamical system supports a Borel probability measure that is invariant under every element of its automorphism group. It follows readily from a classical result of Parry that the full shift on finitely many symbols, and more generally any mixing subshift of finite type, supports such a measure. Frisch and Tamuz recently dubbed such measures characteristic, and further showed that every zero entropy subshift has a characteristic measure. While it remains open if every subshift over a finite alphabet has a characteristic measure, we define a new class of shifts, which we call language stable subshifts, and show that these shifts have characteristic measures. This is a large class that is generic in several senses and contains numerous positive entropy examples.
Pixel value ordering (PVO) is a popular reversible data hiding (RDH) technology. The embedding strategy of the PVO method is to divide the image into blocks of the same size, sort the pixel values in each blocks, and ...
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ISBN:
(纸本)9789811910531;9789811910524
Pixel value ordering (PVO) is a popular reversible data hiding (RDH) technology. The embedding strategy of the PVO method is to divide the image into blocks of the same size, sort the pixel values in each blocks, and embed the secret data to the maximum and minimum pixel values when embeddable conditions are satisfied. The embedding capacity of the PVO method will change due to the complexity of the block. If the pixels in the block is too different from each other, the embedding capacity of the PVO method will be limited. Therefore, in view of this limitation of the PVO method, this research proposes the smoothness mode selection (SMS) strategy. The SMS strategy determines the image shape according to the complexity of the pixels within image blocks, and then uses the bin reservation based on improved PVO RDH method to embed the secret data in the picture. The embedding strategy of this method enables each block of four pixels to carry at most four bits, so it has a significant higher embedding capacity. The experimental results show that the embedding capacity of our proposed method is higher than other PVO-based RDH schemes, and it also maintains a certain good image quality.
Suppose. (X, sigma) is a subshift, P-X(n) is the word complexity function of X, and Aut(X) is the group of automorphisms of X. We show that if P-X(n) = o(n(2)/log(2) n), then Aut(X) is amenable (as a countable, discre...
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Suppose. (X, sigma) is a subshift, P-X(n) is the word complexity function of X, and Aut(X) is the group of automorphisms of X. We show that if P-X(n) = o(n(2)/log(2) n), then Aut(X) is amenable (as a countable, discrete group). We further show that if P-X(n) = D o(n(2)), then Aut(X) can never contain a non-abelian free monoid (and, in particular, can never contain a non-abelian free subgroup). This is in contrast to recent examples, due to Salo and Schraudner, of subshifts with quadratic complexity that do contain such a monoid.
Recently, the pixel value ordering (PVO) method has received a great deal of attention in the field of high-fidelity reversible data hiding. To improve the embedding performance of the PVO-based method, a quadtree-bas...
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Recently, the pixel value ordering (PVO) method has received a great deal of attention in the field of high-fidelity reversible data hiding. To improve the embedding performance of the PVO-based method, a quadtree-based pixel value ordering (QPVO) method based on dynamic quadtree partition is proposed in this paper. Instead of using equal-sized blocks, blocks in various sizes are adaptively generated based on the quadtree partitioning and block complexity. Smooth regions are divided into smaller blocks to obtain high embedding capacity, while rough regions are divided into larger blocks to avoid distortion. The decoder can recover the original image as well as the original quadtree structure by the block complexity. Extensive experiments demonstrate that the proposed QPVO method could significantly improve the embedding performance of these PVO-based methods, especially for a relatively small embedding payload.
In 1984 Boshernitzan proved an upper bound on the number of ergodic measures for a minimal subshift of linear block growth and asked if it could be lowered without further assumptions on the shift. We answer this ques...
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In 1984 Boshernitzan proved an upper bound on the number of ergodic measures for a minimal subshift of linear block growth and asked if it could be lowered without further assumptions on the shift. We answer this question, showing that Boshernitzan's bound is sharp. We further prove that the same bound holds for the, a priori, larger set of nonatomic generic measures, and that this bound remains valid even if one drops the assumption of minimality. Applying these results to interval exchange transformations, we give an upper bound on the number of nonatomic generic measures of a minimal IET, answering a question recently posed by Chaika and Masur.
We suggest necessary conditions of soficness of multidimensional shifts formulated in terms of resource-bounded Kolmogorov complexity. Using this technique we provide examples of effective and non-sofic shifts on Z(2)...
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ISBN:
(纸本)9783959771009
We suggest necessary conditions of soficness of multidimensional shifts formulated in terms of resource-bounded Kolmogorov complexity. Using this technique we provide examples of effective and non-sofic shifts on Z(2) with very low block complexity: the number of globally admissible patterns of size n x n grows only as a polynomial in n.
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