A special detector for the edge adaptive image steganography based on LSB matching revisited
Zhenhao Zhu, Tao Zhang, Baoji Wan · 2013
Based on the analysis of the pixel value difference (PVD) histograms of the cover and stego-images, a special steganalyzer is proposed for the edge adaptive image steganography based on least-significant-bit matching revisited (EA-LSBMR). The EA-LSBMR steganography utilizes the sharper edge regions within the cover images to embed the secret message firstly, which achieves a higher security. However there exists unavoidable weakness: abnormal increasing at some position of the PVD histogram. The special steganslytic method is designed using the weakness of the EA-LSBMR steganography. Extensive experimental results show that the proposed method can defeat the EA-LSBMR steganography effectively.