IBM Systems Journal
Vision Models and Applications to Image and Video Processing
Vision Models and Applications to Image and Video Processing
Introduction to Information Theory and Data Compression
Introduction to Information Theory and Data Compression
Perceptual Metrics for Image Database Navigation
Perceptual Metrics for Image Database Navigation
Attacks on Copyright Marking Systems
Proceedings of the Second International Workshop on Information Hiding
Hiding Functions and Computational Security of Image Watermarking Systems
CSFW '02 Proceedings of the 15th IEEE workshop on Computer Security Foundations
On the invertibility of invisible watermarking techniques
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
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We define transparent watermarking algorithms as those whose expected distortions of input images are at most c log l, as measured under the average absolute difference metric (l is the range of possible pixel values, and c is a positive constant.) Our definition is based on asymptotic analyses of the expected distortions caused by two prototypical watermarking methods generally considered as transparent: the Patchwork and NEC methods. We also propose some shift-resistant variants of these distortion metrics that incorporate alignment techniques used in DNA string comparisons. Experiments show that these new distortion metrics yield much smaller values when a small number of columns are deleted.