Hidden information detection using decision theory and quantized samples: Methodology, difficulties and results
Quantization impact on design/performance of optimal hidden data test is studied. For small noise to quantization ratio, the optimal LR test performance is given. Simplification for large noise to quantization ratio is also presented. For unknown medium analysis, a GLR test is proposed and its performance is given. Impact of medium parameters on hidden data detectability are given for the first time.
hypothesis testing theory lsb steganalysis quantized data optimal steganalysis nuisance parameters