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We consider the problem of LSB matching detection in grayscale images which is hard and hot in steganalysis. In this paper, we model the matching embedding as a kind of image degradation caused by some certain pulse additive noise, and use the restored image by wavelet denoising as an estimation of the cover image. The detectors we used are the 1D and 2D adjacency histogram characteristic function...
In this paper, we consider the problem of LSB matching steganalysis in grayscale images and provide a new detection method. We model the matching embedding as a kind of image degradation with certain additive pulse noise proportional to the embedding rate. We get the restored image by wavelet denoising as the cover imagepsilas estimation. Then we extract the features of 1D statistical grayscale histogram...
We have addressed the problem of image steganalysis that have been potentially subjected to steganographic algorithms, both within the passive warden and active warden frameworks. In actual practice, most techniques produce stego images that are perceptually identical to the cover images but exhibit statistical irregularities that distinguish them from cover images. Statistical steganalysis exploits...
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