Targeted Steganalysis of Edge Adaptive Image Steganography Based on LSB Matching Revisited Using B-Spline Fitting
Shunquan Tan, Bin Li · IEEE Signal Processing Letters · 2012
In this letter, the authors point out that the readjusting phase of edge adaptive image steganography based on LSB matching revisited introduces a pulse distortion to the long exponential tail of the histogram of the absolute difference of the pixel pairs. Making use of this observation, a targeted steganalytic method based on B-Spline fitting is proposed. Experimental results show that the proposed method obtains excellent results for detecting stego images with low embedding rate. The dominant performance of our method compared with state-of-the-art blind steganalyzers, such as SPAM and SRM is apparent. Furthermore, our method can accurately estimate the threshold used in the secret data embedding procedure and can separate the stego images with unit block size from those with block sizes greater than one.