Local feature based geometric-resistant image information hiding

Publication Type:
Journal Article
Citation:
Cognitive Computation, 2010, 2 (2), pp. 68 - 77
Issue Date:
2010-06-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2011000269OK.pdf808.58 kB
Adobe PDF
Watermarking aims to hide particular information into some carrier but does not change the visual cognition of the carrier itself. Local features are good candidates to address the watermark synchronization error caused by geometric distortions and have attracted great attention for content-based image watermarking. This paper presents a novel feature point-based image watermarking scheme against geometric distortions. Scale invariant feature transform (SIFT) is first adopted to extract feature points and to generate a disk for each feature point that is invariant to translation and scaling. For each disk, orientation alignment is then performed to achieve rotation invariance. Finally, watermark is embedded in middle-frequency discrete Fourier transform (DFT) coefficients of each disk to improve the robustness against common image processing operations. Extensive experimental results and comparisons with some representative image watermarking methods confirm the excellent performance of the proposed method in robustness against various geometric distortions as well as common image processing operations. © Springer Science+Business Media, LLC 2010.
Please use this identifier to cite or link to this item: