A Counter-Geometric Distortions Data Hiding Scheme Using Double Channels in Color Images

Xue, Gang; Lu, Peizhong; Wang, Jinlan

doi:10.1007/978-3-540-31805-7_4

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…The blocks are arranged in the shape of the standard [5] is used in our paper. In order to avoid the overlapping in the triangle's edges, we choose 4656-800=3856 bits from center to edge to embed synchronization information.…”

Section: Triangle Normalization and The Synchronization Informatiomentioning

confidence: 99%

A Novel Geometrical Robust Image Data Hiding Scheme

Wang

2007

Eighth International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '07)

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Robustness to geometrical distortions is essential to the data hiding scheme. However, most of existing methods mainly focus on the geometrical invariant watermark, and data hiding techniques with high robustness to geometrical attacks is still a challenge. In this paper 1 , we propose a novel geometrical invariant image data-hiding scheme based on fast correlation attacks of stream ciphers. The scheme can resynchronize the attacked image on the basis of the robustness of feature points and the powerful error-correcting characteristic of fast correlation attacks technique. The paper explicitly analyses the channel noise model, which provides a basis on which the parameters of fast correlation attacks is designed. Simulation results demonstrate that our data-hiding scheme is not only robust to geometrical distortions including RST and general affine transformations, but also robust to common signal processing such as JPEG compression.

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Section: Triangle Normalization and The Synchronization Informatiomentioning

confidence: 99%

A Novel Geometrical Robust Image Data Hiding Scheme

Wang

2007

Eighth International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '07)

Self Cite

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“…Most of them can resist the common signal processing but few of them could survive under the geometrical distortions. The algorithms resist geometric attack can be classified into five categories [1] : 1.method based on the original images [2] ; 2.method based on the invariant transform domains [3] ; 3.method based on repetitive insertion of the information [4] ; 4.methods based on remarkable templates insertion [5] ; 5.methods based on the image-self content [2,6,7] .…”

Section: Introductionmentioning

confidence: 99%

A Digital Image Watermarking Scheme against Geometric Attacks

Zhang

Chen

et al. 2008

2008 International Symposium on Intelligent Information Technology Application Workshops

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Viewing the current situation of malicious tampering to the image feature points which are used for detecting, we proposes a Identifier-based scheme that can relocate tampered feature points. The scheme can effectively reconstruct calibration coordinates by examining embed identifiers in several rings around 'MRFP' (Most Robust Feature Points) to eliminate the geometric attacks such as translation, retro-flexion and blur etc. In order to get enough information for judgment, we use three different color elements R, G and B of a pixel to re-embed related identifiers. In addition, when under local attacks, a 5*5 Matrixes Method is also invented to search these particular rings. Simulation results show that this proposed scheme is robust against normal geometrical attacks, validly resolving the watermarking expired problems which are caused by that the position of feature points can be easily detected and tampered.

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A Geometrical Robust Image Data Hiding Scheme Using FCA-Based Resynchronization

Wang

2007

Information Hiding

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A Counter-Geometric Distortions Data Hiding Scheme Using Double Channels in Color Images

Cited by 7 publications

References 9 publications

A Novel Geometrical Robust Image Data Hiding Scheme

A Novel Geometrical Robust Image Data Hiding Scheme

A Digital Image Watermarking Scheme against Geometric Attacks

A Geometrical Robust Image Data Hiding Scheme Using FCA-Based Resynchronization

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