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This paper puts forward a least significant bit (LSB) matching steganography detection method based on statistical modeling of pixel difference distributions. Based on the Laplacian model of pixel difference distributions, this paper proposes a method to estimate the number of the zero difference value using the number of non-zero difference values from stego-images, and uses the relative estimation...
This paper presents an improved LSB matching steganography, which complementarily modifies the pairs of pixels with adjacent intensity to embed secrete message. In LSB matching steganography, when adding or subtracting one from the cover image pixel, two adjacent bins of the histogram will be altered-the bin value of the modified pixel's intensity increased by one, and one of its adjacent bin's value...
In this paper, a new steganalytic method based on statistical distribution of pixel differences is proposed, which is designed to detect the presence of spatial LSB matching steganography in high-resolution natural images. This paper establishes a statistical model for the distribution of pixel differences in natural images based on the Laplacian distribution and estimates the number of zero pixel...
Steganography is an important issue in the filed of information safety. This paper concretely designs and carries out a steganography of the text secret information. The introduction of chaos theory conveniences to the test of steganography characteristics and enhance the safe of steganography. Adopting an improvement type BPCS steganography, this scheme can resist the analysis of the steganalysis...
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