Robust Object-Based Watermarking Using SURF Feature Matching and DFT Domain
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Date
2013-12
Authors
Cedillo-Hernandez, Manuel
Garcia-Ugalde, Francisco
Nakano-Miyatake, Mariko
Perez-Meana, Hector
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
In this paper we propose a robust object-based watermarking method, in which the watermark is embedded into the middle frequencies band of the Discrete Fourier Transform (DFT) magnitude of the selected object region, altogether with the Speeded Up Robust Feature (SURF) algorithm to allow the correct watermark detection, even if the watermarked image has been distorted. To recognize the selected object region after geometric distortions, during the embedding process the SURF features are estimated and stored in advance to be used during the detection process. In the detection stage, the SURF features of the distorted image are estimated and match them with the stored ones. From the matching result, SURF features are used to compute the Affine-transformation parameters and the object region is recovered. The quality of the watermarked image is measured using the Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM) and the Visual Information Fidelity (VIF). The experimental results show the proposed method provides robustness against several geometric distortions, signal processing operations and combined distortions. The receiver operating characteristics (ROC) curves also show the desirable detection performance of the proposed method. The comparison with a previously reported methods based on different techniques is also provided.
Description
Citation
Radioengineering. 2013, vol. 22, č. 4, s. 1057-1071. issn 1210-2512
http://www.radioeng.cz/fulltexts/2013/13_04_1057_1071.pdf
http://www.radioeng.cz/fulltexts/2013/13_04_1057_1071.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en