Hidden image restoration method based on pixel classification

An image restoration and pixel classification technology, applied in the fields of information hiding and image processing, can solve the problems of destroying pixel bits, unsatisfactory image restoration methods, and random noise interference of hidden images.

Active Publication Date: 2016-10-26
索翡云智科技(开阳)有限公司
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because digital images are easy to modify, in the process of storage and transmission, secret images are vulnerable to noise interference and other attacks, so the extracted hidden images will also be damaged to a certain extent.
If the denoising process is performed on the secret-carrying image, although the existing image de-noising method can effectively remove the noise of the secret-carrying image, it also destroys the hidden pixel bits in the secret-carrying image at the same time, resulting in the restoration of the secret-carrying image Hidden images extracted in poorly
Because some bits of pixels in the hidden image are destroyed, the hidden image is disturbed by irregular random noise, and the effect of existing image restoration methods is not ideal.

Method used

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  • Hidden image restoration method based on pixel classification
  • Hidden image restoration method based on pixel classification
  • Hidden image restoration method based on pixel classification

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Experimental program
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Embodiment

[0073] Using the method of the present invention, take repairing different types of pixels as an example for specific description:

[0074] 1. Apply linear interpolation to repair smooth area pixels

[0075] Let the extracted pixel matrix be According to the marked corrupted bits, calculate the minimum credible value corresponding to the matrix pixel

[0076] (1) Pixel classification: set threshold T 1 =235, where the minimum credible values ​​of pixels F(2,5), F(3,2), F(3,4) and F(4,4) are greater than the threshold, these are credible pixels, other elements in the matrix Untrusted pixels.

[0077] (2) Restoring credible pixels: Take pixel F(4,4) as an example, its minimum credible value is 240, and its minimum possible value is m 0 =112, the maximum possible value is m q = 127, so mean A = 119.5. Therefore, we can use A as the estimated value to adjust all the unreliable bits of the pixel to obtain the restored value F'(4,4)=188 of the pixel F(4,4), and the obtained...

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Abstract

The invention discloses a hidden image restoration method based on pixel classification. Hidden image pixels are firstly divided into trusted pixels and untrusted pixels, a mean value of the maximum value and the minimum value of the trusted pixels is taken as an estimation value, the trusted pixels are preferentially restored, the untrusted pixels are classified according to restored values of the trusted pixels in untrusted pixel regions then, the untrusted pixels are divided into smooth region to-be-restored pixels, texture region to-be-restored pixels and other to-be-restored pixels, the different types of the undtrusted pixels are restored respectively adopting different methods, and a hidden image after restoration is finally obtained. Even if a secret-carrying image is subjected to high-intensity noise interference, the hidden image restored adopting the method still has a good image effect and a good peak signal to noise ratio and can retain many edge texture details.

Description

technical field [0001] The invention relates to the fields of information hiding and image processing, in particular to a hidden image restoration method based on pixel classification. Background technique [0002] With the development of computer networks and the popularization of e-government and e-commerce, new challenges have been posed in the safe storage, transmission and access of information in the era of big data. Although digital information brings convenience to people, the information transmitted in the network is easy to be intercepted and the stored data will be attacked. If important information is stolen or tampered with, users may suffer huge losses. [0003] Information hiding, also known as data hiding, is to hide secret information such as images, charts, data, and sounds in carrier information such as images, sounds, and videos. Confidential information that hides secret information is difficult to be detected by people before and after the information ...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06T5/00
CPCG06T5/00
Inventor张显全何弦俞春强唐振军
Owner索翡云智科技(开阳)有限公司