A Reversible Watermarking Scheme for Vector Maps Based on Multilevel Histogram Modification

Xiang, Hongfei; Lian-quan, Min; Yang, Hui

doi:10.3390/sym10090397

Cited by 15 publications

(13 citation statements)

References 46 publications

(52 reference statements)

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“…It will be our next research topic to allow our proposed RDH scheme to be supportive for various applications while maintaining security of the hidden data. Moreover, the data hiding method based on neural networks [36] and other methods [37][38][39][40][41] will be included to improve the hiding capacity in the future.…”

Section: Discussionmentioning

confidence: 99%

Reversible Steganographic Scheme for AMBTC-Compressed Image Based on (7,4) Hamming Code

Lin

Chang

2019

Symmetry

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In recent years, compression steganography technology has attracted the attention of many scholars. Among all image compression method, absolute moment block truncation coding (AMBTC) is a simple and effective compression method. Most AMBTC-based reversible data hiding (RDH) schemes do not guarantee that the stego AMBTC compression codes can be translated by the conventional AMBTC decoder. In other words, they do not belong to Type I AMBTC-based RDH scheme and easily attract malicious users’ attention. To solve this problem and enhance the hiding capacity, we used (7,4) hamming code to design a Type I AMBTC-based RDH scheme in this paper. To provide the reversibility feature, we designed a prediction method and judgement mechanism to successfully select the embeddable blocks during the data embedding phase and data extraction and recovery phase. In comparing our approach with other BTC-based schemes, it is confirmed that our hiding capacity is increased while maintaining the limited size of the compression codes and acceptable image quality of the stego AMBTC-compressed images.

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Section: Discussionmentioning

confidence: 99%

Reversible Steganographic Scheme for AMBTC-Compressed Image Based on (7,4) Hamming Code

Lin

Chang

2019

Symmetry

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“…It is an inevitable requirement to ensure the security of vector geographic data in order to develop geographic information systems (GIS) industries. As a frontier technology for information security, digital watermarking plays a critical role in copyright protection and content authentication of vector geographic data [2][3][4][5][6]. Particularly in terms of copyright protection, zero watermarking has gained more and more attention.…”

Section: Introductionmentioning

confidence: 99%

Zero Watermarking Algorithm for Vector Geographic Data Based on the Number of Neighboring Features

et al. 2021

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Zero watermarking is an important part of copyright protection of vector geographic data. However, how to improve the robustness of zero watermarking is still a critical challenge, especially in resisting attacks with significant distortion. We proposed a zero watermarking method for vector geographic data based on the number of neighboring features. The method makes full use of spatial characteristics of vector geographic data, including topological characteristics and statistical characteristics. First, the number of first-order neighboring features (NFNF) and the number of second-order neighboring features (NSNF) of every feature in vector geographic data are counted. Then, the watermark bit is determined by the NFNF value, and the watermark index is determined by the NSNF value. Finally, combine the watermark bits and the watermark indices to construct a watermark. Experiments verify the theoretical achievements and good robustness of this method. Simulation results also demonstrate that the normalized coefficient of the method is always kept at 1.00 under the attacks that distort data significantly, which has the superior performance in comparison to other methods.

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“…However, these watermarking techniques may cause some damages to the sensitive information presented in the cover-vector data. Additionally, it is clear that even minor changes in the original vector data are also unacceptable for vector data used in surveying, mapping and military fields, which require extremely high data precision [11]- [13]. In such cases, the lossless watermarking instead of traditional watermarking is in urgent need, because the lossless watermarking can realize the copyright protection without causing damage to the vector data [14].…”

Section: Introductionmentioning

confidence: 99%

A Lossless Watermarking Algorithm Based on Line Pairs for Vector Data

et al. 2020

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With the increasing demand for copyright protection of high-precision and sensitive vector data in Geographical Information System (GIS), research on lossless watermarking has attracted more and more attention. In this paper, a new lossless watermarking method based on line pairs is proposed. Firstly, the points and polygons are unified into the polylines, and then every two adjacent polylines are combined into a line pair. Besides, the storage direction and the interior angle of the line pairs are analyzed. Secondly, the watermark bit is determined by the interior angle of each line pair. Then, the watermark information is embedded by judging whether the storage direction of each line pair and the watermark bit is the same. Finally, experimental results verify that the proposed method works effectively for the data of the points, polylines and polygons, and has good invisibility without damaging the vector data. In addition, compared with the existing algorithm, the proposed method achieves higher robustness against geometric attacks, such as translating, rotating, and scaling the vector data.

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A Reversible Watermarking Scheme for Vector Maps Based on Multilevel Histogram Modification

Cited by 15 publications

References 46 publications

Reversible Steganographic Scheme for AMBTC-Compressed Image Based on (7,4) Hamming Code

Reversible Steganographic Scheme for AMBTC-Compressed Image Based on (7,4) Hamming Code

Zero Watermarking Algorithm for Vector Geographic Data Based on the Number of Neighboring Features

A Lossless Watermarking Algorithm Based on Line Pairs for Vector Data

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