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Low embedding rate compressive sensing universal steganalysis method for color image

A compressed sensing, color image technology, applied in the field of image processing and information security, which can solve problems such as lack of robustness and versatility

Inactive Publication Date: 2017-03-15
GUANGDONG POLYTECHNIC NORMAL UNIV
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Problems solved by technology

[0011] (2) The existing CS steganalysis method is only for the grayscale image steganography algorithm in LSB and DCT domains, which needs to be realized by using 3D data matrix, which does not have robust versatility

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  • Low embedding rate compressive sensing universal steganalysis method for color image
  • Low embedding rate compressive sensing universal steganalysis method for color image

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Embodiment Construction

[0090] Based on CS technology, this patent adopts a two-dimensional compressed measurement model, designs a row-column measurement matrix that satisfies RIP conditions, and performs layered mapping on color digital image HSV (Hue, Saturation, Value) in a layered manner to obtain image layered HSV features and Hierarchical Texture Features, an image retrieval framework based on hierarchical HSV features in 2D compressive sensing. Through the discrete division and hierarchical mapping operator in the image HSV space, a pseudo-gray level co-occurrence matrix based on the network space is invented and provided, and the two-dimensional compression measurement process is used to generate image compression measurement values ​​and form a matrix, combined with PCA (Principal Component Analysis) method to obtain the covariance matrix eigenvalue sequence as the two types of content eigenvectors of the image, and finally apply a three-layer feed-forward nonlinear neural network as a decis...

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Abstract

The invention aims to provide a low embedding rate compressive sensing universal steganalysis method for a color image. The method comprises the following steps of (1) establishing two-dimensional compressive sensing (2d-CS) measurement model; (2) establishing a two-dimensional image HSV layered expression model; and (3) carrying out quasi-gray-level co-occurrence matrix and layered texture feature analysis. By the data statistic technology in the compressive sensing (CS) domain, the problem of the universal steganalysis blind detection of the digital image steganographic algorithm is solved. By researching current CS steganalysis based on LSB and DCT domains, the low embedding rate steganalysis detection precision problem of JPEG and BMP image formats in the traditional F5, Outguess, MB1, MB2, Jsteg and other different steganographic algorithms is solved.

Description

technical field [0001] The invention relates to the field of image processing and information security thereof, in particular to a low embedding rate compressive sensing general steganalysis method for color images. Background technique [0002] Steganalysis is a steganographic attack process aimed at revealing secret information hidden in digital media, or pointing out the existence of secret information. To a certain extent, steganalysis technology can be regarded as a pattern recognition problem of two types of classification, and the key factor is feature selection. The emergence of new methods of steganography has further increased the difficulty of detection. Researching and realizing more effective detection methods is a new problem for steganalysis. Even simple LSB replacement embeddings are difficult to detect for lower embedding rates. The so-called embedding rate (ER) here is the ratio of the embedded bit to the pixel amount of the image. For example, when the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00
CPCG06T1/0021
Inventor 赵慧民魏文国任金昌雷方元罗建桢裴真真
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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