The Sparse Method of Binary Text Watermark InformationBased on Mathematical Morphology(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:

2015年03期

Page:

40-

Research Field:

计算机工程

Publishing date:

Info

Title:

The Sparse Method of Binary Text Watermark InformationBased on Mathematical Morphology

Author(s):

Ren Na¹; ²; Cao Qu¹; ²; Zhu Changqing¹; ²; Wang Zhiwei³

（1.Key Laboratory of Virtual Geographic Environment，Nanjing Normal University，Nanjing 210023，China）
（2.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application，Nanjing 210023，China）（3.78170 PLA Troops，Chengdu 610504，China）

Keywords:

mathematical morphology; binary watermark; compression sensing; sparse

PACS:

P237.3

DOI:

-

Abstract:

The optimized sparse domain of watermarking information is the foundation of studying watermarking algorithm for vector geographic data based on compression sensing theory，and it is also the key to solve the challenge to embed the watermarks into small data. A sparse representation based on mathematical ecology is proposed for binary-character watermarking information. Firstly，the features of the binary-character watermarking information are analyzed. Then，the spare representation based on mathematical ecology is proposed，and it is used for the original watermarking information. Finally，the experimental verification is given for the proposed sparse representation. The results show that the method can embed the binary-character watermarking information in a sparse way，increase the compression ratio for watermarking information effectively，and remove the redundant information unrelated with identification of watermarking. Therefore，the proposed method provides a good theoretical foundation for research of watermarking algorithm based on compression sensing theory.

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Memo

Memo:

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Common functions