A fuzzy c-means clustering-based fragile watermarking scheme for image authentication

Wei Che Chen, Ming-Shi Wang

研究成果: Article

80 引文 (Scopus)

摘要

In recent years, various fragile watermarking schemes have been proposed for image authentication and integrity verification. In this paper, a novel block-based fragile watermarking scheme for image authentication and tamper proofing is proposed. Realizing that block-wise dependency is a basic requirement for fragile watermarking schemes to withstand counterfeiting attacks, the proposed scheme uses the fuzzy c-means (FCM) clustering technique to create the relationship between image blocks. The effectiveness of the proposed scheme is demonstrated through a series of attack simulations. Experimental results show that the proposed scheme not only provides satisfactory imperceptibility, but also achieves superior tamper detection and localization accuracy under different attacks, such as the cut-and-paste attack and the vector quantization (VQ) attack.

原文English
頁(從 - 到)1300-1307
頁數8
期刊Expert Systems With Applications
36
發行號2 PART 1
DOIs
出版狀態Published - 2009 一月 1

指紋

Watermarking
Authentication
Vector quantization

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

引用此文

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A fuzzy c-means clustering-based fragile watermarking scheme for image authentication. / Chen, Wei Che; Wang, Ming-Shi.

於: Expert Systems With Applications, 卷 36, 編號 2 PART 1, 01.01.2009, p. 1300-1307.

研究成果: Article

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