Image copy detection via dictionary learning and sparse coding

Chih Yang Lin*, Li Wei Kang, Kahlil Muchtar, Jyh Da Wei, Chia Hung Yeh

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

In this paper, a new robust image hashing scheme for image authentication via dictionary-based sparse representation of images is proposed. For image hash extraction, we create an over-complete dictionary containing the prototype image atoms to build the hash for an image, where each image patch can be represented by sparse linear combinations of these atoms. The major contribution is to formulate the image authentication problem as a sparse coding problem. Based on the energy distribution of nonzero coefficients of the sparse representation for an image, the authentication of the image can be achieved. Simulation results have shown the proposed scheme is robust to several content-preserving image attacks defined in StirMark.

原文英語
主出版物標題Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012
頁面242-245
頁數4
DOIs
出版狀態已發佈 - 2012
對外發佈
事件3rd International Conference on Information Security and Intelligent Control, ISIC 2012 - Yunlin, 臺灣
持續時間: 2012 八月 142012 八月 16

出版系列

名字Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012

會議

會議3rd International Conference on Information Security and Intelligent Control, ISIC 2012
國家/地區臺灣
城市Yunlin
期間2012/08/142012/08/16

ASJC Scopus subject areas

  • 人工智慧
  • 資訊系統

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