Steganalysis method based on image smoothness variation characteristics
A technology of image smoothing and steganalysis, applied in image data processing, image data processing, instruments, etc., can solve the problems of low accuracy rate and achieve high accuracy rate, good analysis effect, and strong adaptability
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[0056] The framework of the steganalysis method based on line segment coverage of the present invention is as follows figure 1 with figure 2 : Extract the smoothness variation feature of the steganographic sample image file and the clean sample audio file as the eigenvalue of the support vector machine, extract the smoothness variation eigenvalue of the test image file and input it into the support vector machine; the support vector machine is generated according to the eigenvalue Train the model, train the smoothness variation feature of the image file to be tested, and judge that the image file to be tested contains steganographic information. The support vector machine is referred to as SVM, which is a kind of existing classifier. The present invention selects the support vector machine for classification operation, and the classification standard adopts the feature vector formed by the smoothness variation feature of the image file. The present invention notices that if ...
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