A non-parametric multi-scale statistical model for natural images
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Compressed Video over Networks
Compressed Video over Networks
Equivalence of Julesz Ensembles and FRAME Models
International Journal of Computer Vision - Special issue on Genomic Signal Processing
Stretching the Limits of Steganography
Proceedings of the First International Workshop on Information Hiding
Image compression via joint statistical characterization in the wavelet domain
IEEE Transactions on Image Processing
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The problem of hiding information imperceptibly can be formulated as the problem of determining if a given image is a member of a sufficiently large equivalence class of images which to the Human Visual System appears to be the same image. This makes it possible to replace the given image with a modified image similar in appearance but carrying imperceptibly coded information. This paper presents a framework and an experimental algorithm to estimate upper bounds for the size of an equivalence class.