@inproceedings{19bbe48bca4846c382878968d176f509,
title = "Image copy detection via dictionary learning and sparse coding",
abstract = "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.",
keywords = "compressive sensing, copy detection, dictionary learning, image authentication, image hashing, sparse coding",
author = "Lin, {Chih Yang} and Kang, {Li Wei} and Kahlil Muchtar and Wei, {Jyh Da} and Yeh, {Chia Hung}",
year = "2012",
doi = "10.1109/ISIC.2012.6449751",
language = "英语",
isbn = "9781467325882",
series = "Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012",
pages = "242--245",
booktitle = "Proceedings - 3rd International Conference on Information Security and Intelligent Control, ISIC 2012",
note = "3rd International Conference on Information Security and Intelligent Control, ISIC 2012 ; Conference date: 14-08-2012 Through 16-08-2012",
}