Novel DCT Features for Detecting Spatial Embedding Algorithms.

Traditionally, discrete cosine transform (DCT) features and Cartesian calibration are mainly utilized in joint picture expert group (JPEG) steganalysis. As well known, the steganalyzer without any modification can also work for spatial steganography. However, since JPEG and spatial embedding have different influences on DCT coefficients, this direct generalization is not quite reasonable. This essay studies the statistical moments and histogram variances of DCT coefficients under pixel domain modification. A novel steganalyzer for detecting spatial steganography is established by all alternating current (AC) coefficient features and Cartesian calibration. The experimental results state that the proposed steganalyzer outperforms the old DCT feature based method, as well as several spatial and wavelet feature based methods.