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

Inactive Publication Date: 2011-08-10
BEIHANG UNIV
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Problems solved by technology

Due to its versatility, the general steganalysis method analyzes many steganographic methods, but at the

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  • Steganalysis method based on image smoothness variation characteristics
  • Steganalysis method based on image smoothness variation characteristics
  • Steganalysis method based on image smoothness variation characteristics

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Embodiment Construction

[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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Abstract

The invention discloses a steganalysis method based on image smoothness variation characteristics, which comprises a process for extracting image smoothness and a process for extracting image smoothness variation characteristics, wherein the process for extracting the image smoothness comprises a segment covering step and a smoothness calculating step; the segment covering step comprises: covering the segment in a zero-degree direction, covering the segment in a 45-degree direction, covering the segment in a 90-degree direction and covering the segment in a 135-degree direction, selecting parameters after the segments are covered and calculating the image smoothness; the process for extracting the image smoothness variation characteristics comprises the following four steps: calculating the image smoothness characteristics before writing hidden information, writing hidden information by using the steganography to be analyzed, calculating the image smoothness characteristics after writing hidden information and calculating the smoothness variation characteristics. In the method, the hidden information writing of a grey image based on least significant bit (LSB) and histogram modification can be analyzed and the accuracy of the method is high for the two steganographies.

Description

technical field [0001] The invention belongs to the field of information hiding detection, in particular to a steganalysis method based on the feature of image smoothness variation. Background technique [0002] Since the early 1990s, information hiding, as an important topic in information security, has attracted the attention of international academic circles. First of all, the research on digital watermarking for copyright protection of multimedia products is rapidly increasing, and the number of published papers is increasing year by year, and many companies developing digital watermarking products have emerged as the times require. In the past ten years, the struggle between forward hiding technology and reverse detection technology has intensified, and it has become the focus of research in the field of information security. [0003] Since modern information hiding technology is a new covert communication technology, it has broad application prospects in the military,...

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Application Information

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IPC IPC(8): G06T1/00
Inventor 毛佳俊陈真勇范围熊璋
Owner BEIHANG UNIV
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