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1)  least signifcation bit steganography
LSB隐写信息
2)  LSB steganography
LSB隐写
1.
According to the characteristic of which LSB steganography can influence the image wavelet detail information,this article presents the definition of images,with wavelet detail information and the wavelet detail information energy.
为了准确地估计出隐藏图像的嵌入率,利用LSB隐写对图像小波细节信息影响较大这一特点,首先给出了图像的小波细节信息和小波细节信息能量的定义,同时利用LSB隐写图像计算出其原始图像的小波细节信息能量;然后根据隐写图像与原始图像的小波细节信息能量,估计出LSB隐写图像的嵌入率。
2.
In this paper, a steganalytical scheme based on i ma ge difference histogram analysis is proposed on the basis of the effect on image difference histogram caused by the LSB steganography scheme against statistical analysis proposed by Zhang Xin-peng et al.
针对张新鹏等人提出的抗统计分析的LSB隐写方案对图像差分直方图的影响,本文提出了一种基于差分直方图分析的隐写分析方案。
3)  least significant bit(LSB) steganalysis
LSB隐写分析
4)  LSB matching steganography
LSB匹配隐写
1.
The proposed steganalysis algorithm is applicable to LSB matching steganography for spatial images.
为了提高针对LSB匹配隐写的隐写分析算法性能,将图像退化/复原理论与图像隐写分析相结合,提出一种新的隐写分析算法。
5)  steganography
信息隐写
6)  LSB matching steganalysis
LSB匹配隐写分析
1.
Study of LSB matching steganalysis based on histogram properties
基于直方图特性的LSB匹配隐写分析研究
2.
A new method of LSB matching steganalysis was proposed through using adaptive thresholding wavelet filter restoration in steganalysis and combine with the difference characters between the original image and the filtered one.
将自适应阈值小波滤波应用于隐写分析,并结合图像滤波前后的差异性特征提出一种新的LSB匹配隐写分析方法。
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