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Image reversible information hiding method and apparatus based on multiple linear regression

A multiple linear regression and information hiding technology, applied in the field of image reversible information hiding based on multiple linear regression, can solve the problem that the consistency relationship between adjacent pixels is not fully utilized, so as to enhance the ability of reversible information embedding and improve the prediction accuracy. , the effect of good image quality retention ability

Active Publication Date: 2018-06-19
马睿和
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the traditional error prediction algorithms are all based on calculating the similarity between the target pixel and its neighboring pixels. The prediction of the target pixel value is realized through the simple arithmetic combination of neighboring pixels. The consistency relationship between neighboring pixels in the image is still not fully utilized.

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  • Image reversible information hiding method and apparatus based on multiple linear regression
  • Image reversible information hiding method and apparatus based on multiple linear regression
  • Image reversible information hiding method and apparatus based on multiple linear regression

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Embodiment 1

[0042]This embodiment discloses a method for image reversible information hiding based on multiple linear regression, comprising the following steps:

[0043] Step 1: Select four pixels in the neighborhood of the target pixel as prediction samples according to certain rules, and select four pixels in the neighborhood of each prediction sample as training samples in the same way;

[0044] The rule is: assuming that information is embedded from one corner of the image to its diagonal direction, the prediction template selects the four pixels closest to the diagonal direction of the target pixel point. If it is assumed that the data is embedded from the lower right corner of the image to the upper left corner to achieve image reversible information hiding, then the prediction sample selects 4 pixels that are closely connected to the upper left in the neighborhood of the target pixel. The two columns on the left and the top two rows of the image do not participate in reversible in...

Embodiment 2

[0060] The purpose of this embodiment is to provide a computing device.

[0061] A method for image reversible information hiding based on multiple linear regression, comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor implements the following steps when executing the program, including:

[0062] Step 1: Select four pixels in the neighborhood of the target pixel as prediction samples according to certain rules, and select four pixels in the neighborhood of each prediction sample as training samples in the same way;

[0063] Step 2: Establish the multiple linear regression function relationship between the training sample pixels and the prediction sample pixels in the local area;

[0064] Step 3: using the relationship function to approximate the functional relationship between the target pixel and the predicted sample pixel, and predict the value of the target pixel.

Embodiment 3

[0066] The purpose of this embodiment is to provide a computer-readable storage medium.

[0067] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the following steps are performed:

[0068] Step 1: Select four pixels in the neighborhood of the target pixel as prediction samples according to certain rules, and select four pixels in the neighborhood of each prediction sample as training samples in the same way;

[0069] Step 2: Establish the multiple linear regression function relationship between the training sample pixels and the prediction sample pixels in the local area;

[0070] Step 3: using the relationship function to approximate the functional relationship between the target pixel and the predicted sample pixel, and predict the value of the target pixel.

[0071] The steps involved in the devices of the above embodiments 2 and 3 correspond to those of the method embodiment 1, and for specific im...

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Abstract

The invention discloses an image reversible information hiding method and apparatus based on multiple linear regression. The method comprises the following steps: selecting a plurality of pixel pointswithin a neighborhood of a target pixel point as prediction samples according to a certain rule, and selecting a plurality of pixel points as training samples in the neighborhood of each prediction sample to serve as training samples; establishing a multiple linear regression function relationship between the training sample pixels in a local area and the prediction sample pixels; and predictinga target pixel value by using the function relationship between the training sample pixels and the prediction sample pixels. According to the image reversible information hiding method and apparatus,the accurate prediction of the target pixel value is achieved by using the internal connection between the pixels around the target pixel, and the performance of the image reversible information hiding and embedding is further enhanced.

Description

technical field [0001] The invention belongs to the field of image information hiding, in particular to an image reversible information hiding method and device based on multiple linear regression. Background technique [0002] Information hiding technology hides the information that needs to be protected in the public carrier, and uses the public signal carrier to realize the transmission of secret information. Most of the information hiding algorithms will lead to irreversible distortion of the original carrier, but in the military, medical, remote sensing and other sensitive image processing fields, the distortion of the original image caused by embedding information is unacceptable, resulting in a reversible information hiding algorithm. The image embedded with information based on the reversible information hiding algorithm can not only completely extract the secret information embedded in the image, but also restore the original carrier image without loss. Currently c...

Claims

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Application Information

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IPC IPC(8): H04N19/467
CPCH04N19/467
Inventor 马睿和
Owner 马睿和
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