KSII Transactions on Internet and Information Systems · 2014 · 16 citations · 26 references
ComputingComputer ScienceComputer VisionDigital ImagingFeature EngineeringDigital Image ProcessingDigital Signal ProcessingFeature DetectionFeature ExtractionFeature TransformationImage ProcessingDiscrete Wavelet TransformImage WatermarkingRobust WatermarkingScale-invariant Feature TransformWatermark EmbeddingWatermark ExtractionWatermark RobustnessWatermarking
In this paper, a robust watermarking scheme is proposed that uses the scale-invariant feature transform (SIFT) algorithm in the discrete wavelet transform (DWT) domain. First, the SIFT feature areas are extracted from the original image. Then, one level DWT is applied on the selected SIFT feature areas. The watermark is embedded by modifying the fractional portion of the horizontal or vertical, high-frequency DWT coefficients. In the watermark extracting phase, the embedded watermark can be directly extracted from the watermarked image without requiring the original cover image. The experimental results showed that the proposed scheme obtains the robustness to both signal processing and geometric attacks. Also, the proposed scheme is superior to some previous schemes in terms of watermark robustness and the visual quality of the watermarked image.
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Feature Detection with Automatic Scale Selection
Tony Lindeberg · International Journal of Computer Vision · 1998 · 2.5K citations · Full text
Rotation, scale, and translation resilient watermarking for images
C.-Y. Lin, Min Wu, Jeffrey A. Bloom et al. · IEEE Transactions on Image Processing · 2001 · 665 citations
Watermarking schemes evaluation
Fabien A. P. Petitcolas · IEEE Signal Processing Magazine · 2000 · 582 citations