A watermarking-based image ownership and tampering authentication scheme
Pattern Recognition Letters
A majority-voting based watermarking scheme for color image tamper detection and recovery
Computer Standards & Interfaces
A fuzzy c-means clustering-based fragile watermarking scheme for image authentication
Expert Systems with Applications: An International Journal
Semi-fragile watermark for visual content authentication
ISCGAV'08 Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision
WSEAS Transactions on Signal Processing
Journal on Image and Video Processing - Special issue on distributed video coding
A hypothesis testing approach to semifragile watermark-based authentication
IEEE Transactions on Information Forensics and Security
Hash-based identification of sparse image tampering
IEEE Transactions on Image Processing
A hybrid content-based image authentication scheme
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
A quantization-based semi-fragile watermarking scheme for image content authentication
Journal of Visual Communication and Image Representation
Genetic substitution-based audio steganography for high capacity applications
International Journal of Internet Technology and Secured Transactions
The return of the sensitivity attack
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
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To prevent image manipulations and fraudulent use of modified images, the embedding of semi-fragile digital watermarks into image data has been proposed. The watermark should survive modifications introduced by random noise or compression, but should not be detectable from non-authentic regions of the image The original image cannot be used by the watermark detector to verify the authenticity of the image. In this paper, we investigate the application of a recently developed quantization based watermarking scheme to image authentication. The watermarking technology, called Scalar Costa Scheme (SCS), allows reliable blind watermark detection from a small number of pixels, and thus enables the detection of local modifications to the image content.