A Steganalysis Method Based on Parameter Identification and Estimation
A technology of steganalysis and parameter identification, applied in the sub-field of information hiding, which can solve the problem of not considering the classifier training set
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[0047] 1) Determine the attribute parameter set
[0048] Select the factors that have obvious influence on steganalysis (such as image texture, size, quality factor, etc.) as the one-dimensional attribute parameter vector, that is, determine the parameter vector (α 1 ,α 2 ,…α n ). where the parameter α for each dimension 1 ,α 2 ,…α n , it is agreed that its values are η1 , η 2 ,…η n kind. For example, the image size can be selected from three types: large (3000×2000), medium (1500×1000), and small (512×512), the quality factor can be selected from 80 and 90, and the texture can be selected from high, medium and low texture. In practical applications, the more types of values in each dimension, the more complete the knowledge base will be constructed. In the use of the present invention, the similarity of attribute parameter vectors will be higher, and the finally obtained classifier configuration parameters will be more reasonable .
[0049] 2) Preparation of con...
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