Detectability-Based JPEG Steganography Modeling the Processing Pipeline: The Noise-Content Trade-off

The current art of steganography shows that schemes using a deflection criterion (such as MiPOD) for JPEG are usually subpar with respect to distortion-based schemes. We link this lack performance poor estimation the variance model noise on cover image. However, statistically-based method provides better assessment detectability hidden data well theoretical guarantees under given model. In paper, we propose obtain estimates variances DCT coefficients by taking into account dependencies introduced development pipeline pixels. A second method, which is side-informed extension Gaussian Embedding in domain quantization error side-information, also formulated and shown achieve state-of-the-art performances. Eventually, trade-off between content complexity thoroughly analyzed through lenses these two new methods wide range numerical experiments.