Steganalysis SVM algorithm based on adjacent pixel and texture correlations
Daoshun Wang · Journal of Tsinghua University(Science and Technology) · 2009
Steganalysis searches to obtain higher detection ratios for image steganography and to extend the range of steganalysis application.A least significant bit(LSB) steganalysis algorithm was developed using statistical features to correlate adjacent pixels and the texture.A support vector machine method is used to classify these statistical adjacent pixels and texture correctations.Tests of 1 600 raw lossless-stored BMP images with various embedded information ratios validate the performance of the method.The results show that this method is a reliable detection method with higher accuracy than the regular singular(RS) and gray-level plane crossing(GPC).