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Image steganography method of reference matrix model based on mean square error evaluation

A reference matrix and mean square error technology, applied in the field of multimedia signal processing, can solve problems such as inability to solve algorithm limitations, inability to optimize image quality, etc., to avoid inherent defects, maintain image quality, and shorten computing time.

Active Publication Date: 2020-05-15
FUQING BRANCH OF FUJIAN NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, some existing studies are basically optimized and improved based on a fixed matrix shape, which cannot solve the inherent limitations of the algorithm, and cannot achieve the optimal image quality for the watermark data that needs to be encrypted.
Especially when the dimension of the matrix continues to increase and the complexity of the design continues to increase, there is currently no simple and effective generalized reference matrix design method in the industry

Method used

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  • Image steganography method of reference matrix model based on mean square error evaluation
  • Image steganography method of reference matrix model based on mean square error evaluation
  • Image steganography method of reference matrix model based on mean square error evaluation

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Embodiment 1

[0169]Assume that the watermark information to be hidden is 512*512*3 / 2 bit streams composed of binary 0 and 1 values, such as {010011110...}, and the carrier image I is a grayscale image with a resolution of 512*512. An image steganography method based on a reference matrix model evaluated by mean square error, comprising the following steps:

[0170] Step 1, divide the number of watermark information digits by the number of pixels of the carrier image 1 to obtain a storage amount of each pixel as 3 / 2, determine the dimension of the reference matrix according to the storage amount of each pixel to be 2, and store the number of bits m is 3, ie RM_2D(2 m )=RM_2D(8);

[0171] Step 2, designing the reference matrix according to the dimension, the reference matrix satisfies the following formula:

[0172] RM(0,0)=S,(S∈{0,1,...,7})

[0173] RM(i+1,j)=(RM(i,j)+r 1 ) mod 8

[0174] RM(i,j+1)=(RM(i,j)+r 2 ) mod 8

[0175]

[0176] r 2 = 1

[0177] Among them, RM is a two-d...

Embodiment 2

[0201] Assume that the watermark information to be hidden is a bit stream consisting of 512*515 binary 0 and 1 values, such as {010011110...}, and the carrier image I is a grayscale image with a resolution of 512*512. This application is based on the mean square error An image steganography method for evaluating a reference matrix model consists of the following steps:

[0202] Step 1, divide the number of watermark information digits by the number of pixels of the carrier image I to obtain a storage amount of each pixel greater than 1 and less than 4 / 3, and determine that the dimension of the reference matrix is ​​3 according to the storage amount of each pixel. The number of input bits m is 4, that is, RM_3D(2 m )=RM_2D(16);

[0203] Step 2, designing the reference matrix according to the dimension, the reference matrix satisfies the following formula:

[0204] RM(0,0,0)=S(S∈{0,1,...,15})

[0205] RM(i+1,j,k)=(RM(i,j,k)+r 1 ) mod 16

[0206] RM(i,j+1,k)=(RM(i,j,k)+r 2 ...

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Abstract

The invention belongs to the technical field of digital communication, and particularly relates to an image steganography method of a reference matrix model based on mean square error evaluation. Themethod comprises the following steps: 1, determining the dimension and the hidden bit number of a reference matrix according to the hidden quantity of each pixel; 2, designing the reference matrix according to the dimension; 3, solving an optimal parameter of the reference matrix by using a mean square error evaluation method; 4, finding out a gray replacement value from the reference matrix by using a minimum embedding error search method according to the watermark information to replace the pixel gray value of the carrier image. According to the method, a universal reference matrix design method is provided for watermark data with different storage capacities, the calculation complexity of the matrix MSE is greatly reduced, the calculation time is greatly shortened, and meanwhile under the condition of the same storage capacity, the image quality PSNR is obviously improved compared with an existing method.

Description

technical field [0001] The invention belongs to the technical field of multimedia signal processing, and in particular relates to an image steganography method based on a reference matrix model evaluated by mean square error. Background technique [0002] Digital steganography is an encryption technology that transmits messages by embedding information in digital carriers. This information transmission method is invisible and confidential, and is suitable for transmitting some important information between the sender and the receiver. Confidential information is conducive to protecting the information security of both parties in communication. As a medium for secret information, digital carriers usually use video, audio, and images that are common in people's daily life. Image carrier has become a commonly used information carrier because of its small size, easy transfer and encryption. JPEG grayscale image is currently the most common and most used image format. [0003] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T1/00
CPCG06T1/0021G06T2201/0065
Inventor 林娟洪集辉张真诚郭永宁孙树亮陈泗盛
Owner FUQING BRANCH OF FUJIAN NORMAL UNIV
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