Hidden data detection is set in the framework of hypothesis testing theory. •. A local adaptive model describing natural image is proposed. •. A methodology ...
This paper proposes a novel methodology to detect data hidden in the least significant bits of a natural image. The goal is twofold: first, the methodology ...
Almost Optimal Detection of Hidden Data$. Rémi ... data hidden in the least significant bits of a natural image ... using this accurate image model, hidden data ...
A local adaptive model of natural images for almost optimal detection of hidden data ... Reliable detection of hidden information based on a non-linear local ...
A local adaptive model of natural images for almost optimal detection of hidden data. R Cogranne, C Zitzmann, F Retraint, IV Nikiforov, P Cornu, L Fillatre.
It is shown that this test maximizes the probability of detection as the image size becomes arbitrarily large and the quantization step vanishes, ...
This paper studies the statistical detection of data hidden in the Least Significant Bits (LSB) plan of natural clipped images using the hypothesis testing ...
2005. A local adaptive model of natural images for almost optimal detection of hidden data. R Cogranne, C Zitzmann, F Retraint, IV Nikiforov, P Cornu, L ...
A local adaptive model of natural images for almost optimal detection of hidden data ... detect data hidden in the least significant bits of a natural image. The ...
