Steganography by Minimizing Statistical Detectability: The cases of JPEG and Color Images
Rémi Cogranne, Eva Giboulot, Patrick Bas
Abstract
This short paper presents a novel method for steganography in JPEG-compressed images, extended the so-called MiPOD scheme based on minimizing the detection accuracy of the most-powerful test using a Gaussian model of independent DCT coefficients. This method is also applied to address the problem of embedding into color JPEG images. The main issue in such case is that color channels are not processed in the same way and, hence, a statistically based approach is expected to bring significant improvements when one needs to consider heterogeneous channels together.
Topics & Concepts
JPEGSteganographyDiscrete cosine transformComputer scienceArtificial intelligenceEmbeddingComputer visionTransform codingGaussianPattern recognition (psychology)Image (mathematics)PhysicsQuantum mechanicsAdvanced Steganography and Watermarking TechniquesDigital Media Forensic DetectionChaos-based Image/Signal Encryption