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Multiple information hiding method based on combination of image normalization and principal component analysis (PCA)

A normalized and multi-information technology, applied in the field of multi-information hiding, can solve problems such as difficulty in extracting hidden information and lack of resistance to geometric attacks, and achieve the effect of eliminating the influence of geometric transformation, resisting geometric attacks, and increasing security

Inactive Publication Date: 2013-04-10
DALIAN UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, like most image digital information hiding methods, digital image information hiding based on principal component analysis is not sufficiently resistant to geometric attacks. When there are conventional geometric transformations such as image translation, rotation or scaling, it is difficult to Extract hidden information from cover images

Method used

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  • Multiple information hiding method based on combination of image normalization and principal component analysis (PCA)
  • Multiple information hiding method based on combination of image normalization and principal component analysis (PCA)
  • Multiple information hiding method based on combination of image normalization and principal component analysis (PCA)

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Embodiment Construction

[0042] The present invention is done and further described below in conjunction with accompanying drawing, an embodiment of the present invention is:

[0043] Such as figure 1 Shown: the flow chart of the present invention's realization step;

[0044] Step 1: The original carrier is a 256-level grayscale image F={f(i,j), 1≤i≤m, 1≤j≤m}, and the image size is m×m, as shown in Figure 2(a) , the hidden information is a binary image W={w(i,j), 1≤i≤s, 1≤j≤s}, the image size is s×s, as shown in Figure 2(b); the carrier image is Based on the normalization process of geometric invariant moments, the normalized image I and its image centroid are obtained, as shown in Figure 3, and the corresponding transformation parameters R;

[0045] The image normalization process based on geometric invariant moments is as follows four steps:

[0046] (1) Coordinate centering

[0047] Center the coordinates of the original image f(x,y) according to the following formula;

[0048] ...

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Abstract

The invention discloses an information hiding method based on the combination of image normalization and principal component analysis (PCA). The information hiding method belongs to the technical area of a computer image processing and information security. Based on the theory of image normalization and invariant centroid, the information hiding method has a good resistance to the geometric attack. Before implanting the hidden information, the chaotic technology is utilized to carry out the encryption processing on the hidden images so that the confidentiality and security of the hidden information are effectively improved. According to the features of the visual system---illuminance masking and texture masking, a perceptual masking template is designed to determine the intensity factor embedded by each sub-block hidden information and then the hidden information is embedded into multiple subspaces of the images so that the information embedding capacity of the cover images can be effectively improved.

Description

technical field [0001] The invention relates to a multi-information hiding method based on the combination of image normalization and PCA, and belongs to the technical field of computer image processing and information security. Background technique [0002] The basic principle of image information hiding technology is to use the ubiquitous redundancy in image information to embed secret information into it, so as to achieve the purpose of concealing important information. Its main research is how to embed secret data into image data and how to choose the embedding position. The key issue is the design of information embedding algorithm, and how to deal with the robustness, imperceptibility of hidden information, and the amount of embedded data. the relationship between these three. [0003] The earlier information hiding algorithms are all in the spatial domain. This type of algorithm directly loads the secret information on the data by directly modifying the carrier digit...

Claims

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Application Information

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IPC IPC(8): G06T1/00
Inventor 周昌军候彩霞张强
Owner DALIAN UNIVERSITY
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