Steganalysis Scheme Using the Difference Image of Calibrated Sub-sampling

This paper proposes a steganalysis scheme using the difference histogram and image calibration. The message embedding makes the correlation with the neighboring pixels weaken and the random changes of the pixel values generate the block effects among the pixels. The proposed method crops a suspicious image by 1 pixel in a row or column direction and compares the difference histograms. Two distance measures (Manhattan and Euclidean distance) are employed to evaluate the gap between the histograms. A support vector machine classifier is adopted to discriminate between natural and altered images. The experimental results verify that the proposed steganalysis can detect the altered images with high accuracy.