A Novel Image Recovery Algorithm for Visible Watermarked Images

@article{citeulike:1633592, abstract = {A novel image recovery algorithm for removing visible watermarks is presented. Independent component analysis (ICA) is utilized to separate source images from watermarked and reference images. Three independent component analysis approaches are examined in the proposed algorithm, which includes joint approximate diagonalization of eigenmatrices, second-order blind identification, and FastICA. Moreover, five different visible watermarking methods to embed uniform and linear-gradient watermarks are implemented. The experimental results show that visible watermarks are successfully removed, and that the proposed algorithm is independent of both the adopted ICA approach and the visible watermarking method. In the final experiment, several public domain images sourced from various websites are tested. The results of this study demonstrate that the proposed algorithm can blindly and successfully remove the visible watermarks without knowing the watermarking methods in advance}, author = {Pei, Soo-Chang and Zeng, Yi-Chong }, booktitle = {Information Forensics and Security, IEEE Transactions on}, citeulike-article-id = {1633592}, doi = {10.1109/TIFS.2006.885031}, journal = {IEEE Transactions on Information Forensics and Security}, keywords = {algebra, algorithm, analysis, and, approximate, blind, component, diagonalization, domain, eigenfunctions, eigenmatrix, eigenvalues, fastica, ica, identification, image, images, independent, joint, linear-gradient, matrix, public, recovery, removal, second-order, visible, watermark, watermarked, watermarking}, month = {December}, number = {4}, pages = {543--550}, posted-at = {2008-02-28 02:21:58}, priority = {2}, title = {A Novel Image Recovery Algorithm for Visible Watermarked Images}, url = {http://dx.doi.org/10.1109/TIFS.2006.885031}, volume = {1}, year = {2006} }

TY - JOUR ID - citeulike:1633592 L3 - citeulike-article-id:1633592 TI - A Novel Image Recovery Algorithm for Visible Watermarked Images T2 - Information Forensics and Security, IEEE Transactions on JF - IEEE Transactions on Information Forensics and Security VL - 1 IS - 4 SP - 543 EP - 550 N2 - A novel image recovery algorithm for removing visible watermarks is presented. Independent component analysis (ICA) is utilized to separate source images from watermarked and reference images. Three independent component analysis approaches are examined in the proposed algorithm, which includes joint approximate diagonalization of eigenmatrices, second-order blind identification, and FastICA. Moreover, five different visible watermarking methods to embed uniform and linear-gradient watermarks are implemented. The experimental results show that visible watermarks are successfully removed, and that the proposed algorithm is independent of both the adopted ICA approach and the visible watermarking method. In the final experiment, several public domain images sourced from various websites are tested. The results of this study demonstrate that the proposed algorithm can blindly and successfully remove the visible watermarks without knowing the watermarking methods in advance KW - algebra KW - algorithm KW - analysis KW - and KW - approximate KW - blind KW - component KW - diagonalization KW - domain KW - eigenfunctions KW - eigenmatrix KW - eigenvalues KW - fastica KW - ica KW - identification KW - image KW - images KW - independent KW - joint KW - linear-gradient KW - matrix KW - public KW - recovery KW - removal KW - second-order KW - visible KW - watermark KW - watermarked KW - watermarking AU - Pei, Soo-Chang AU - Zeng, Yi-Chong PY - 2006/12// UR - http://dx.doi.org/10.1109/TIFS.2006.885031 ER -