Blind steganalysis method based on symmetric neighborhood information

A neighborhood information, symmetrical technology, applied in image data processing, instruments, image data processing and other directions, can solve problems such as inapplicability

Active Publication Date: 2012-10-10
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

According to the required conditions for use, there are currently two methods for detecting hidden information in images, blind detection and non-blind detection. The non-blind detection method uses the characteristics

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  • Blind steganalysis method based on symmetric neighborhood information
  • Blind steganalysis method based on symmetric neighborhood information
  • Blind steganalysis method based on symmetric neighborhood information

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Embodiment Construction

[0019] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0020] A digital image is an image captured by a camera, video camera, etc. and recorded in a digital array. For a digital image, there is correlation between adjacent pixels, and the hidden information in the image needs to modify the image data, thus changing its correlation. A pixel in an image has the greatest correlation with pixels in its field, and its correlation is changed by hidden information, so extracting statistical information that can reflect this correlation change in the image can be used to detect whether the image has been hidden. The present invention uses neighborhood information, extracts information based on symmetrical neighborhoods in multiple directions and combines them into neighborhood inform...

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Abstract

The invention discloses a digital image steganalysis method based on airspace characteristics. The digital image steganalysis method comprises the following steps of: calculating pixel grey scale differential value information of a digital image (with marked class information) in a training set in a symmetric neighborhood in multiple directions; carrying out processing and rotational invariance encoding on the pixel grey scale differential value information; calculating a histogram of encoded information, and normalizing the histogram to be taken as a characteristic; carrying out training and classifying on the extracted characteristic to obtain a classifier model; calculating the neighborhood information of randomly inputted digital images to extract characteristics; and inputting the extracted characteristics into the classifier model to obtain class information of the inputted images. The digital image steganalysis method disclosed by the invention has the characteristic of no needing of analyzing specific steganography, and is a universal method so as to be capable of being widely applied to universal (blind) steganalysis of the digital images.

Description

technical field [0001] The invention relates to the fields of image forensics and network information security, in particular to a blind steganographic analysis method based on symmetrical neighborhood information, which is used for detecting information hiding of digital images using steganography. Background technique [0002] The 21st century is an era of digitalization. With the rapid development of computer and multimedia technology, people are increasingly inseparable from digital media. Digital media is the most important avenue in today's society. On the Internet, information is disseminated between individuals, between individuals and groups, and between groups through digital media. In addition to the information carried by themselves, digital media can also be used to hide secret information, thereby relying on the public channels to spread bad information, or to engage in covert communications. Because information hiding technology can be used by criminals as a...

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Application Information

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IPC IPC(8): G06T1/00
CPCG06T1/00G06T1/0028G06T2201/0051G06T2201/0083G06T2201/0201
Inventor 谭铁牛董晶关晴骁
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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