The Algorithm of Estimating Location of the Embedded Secret Message in Stego Image

In this paper, we describe new steganalysis methods that can reliably detect distortion due to LSB steganography in images that were originally stored in the JPEG format. Firstly, estimation jpeg compression history, then calculate quality index of the jpeg image. Based stego image and quality index, it can recover the cover image. Comparing stego and cover image, it also enables accurate estmation of the length and location of the embedded secret message. The proposed framework can be applied to virtually all current methods for LSB steganography including Hide&Seek, S-Tools4, Steganos, EZStego. The methodology is demonstrated on S-Tools4.