Image bit-plane chaotic encryption method based on compressed sensing

A technology of chaotic encryption and compressed sensing, applied in the field of image processing, can solve problems such as high sampling data volume, and achieve the effect of increasing anti-attack, strong confidentiality, and strengthening transmission security.

Inactive Publication Date: 2017-08-01
SICHUAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Traditional Nyquist sampling requires that the sampling rate of the information should not be lower than twice the maximum bandwidth of the signal to accurately restore the original sign

Method used

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  • Image bit-plane chaotic encryption method based on compressed sensing
  • Image bit-plane chaotic encryption method based on compressed sensing
  • Image bit-plane chaotic encryption method based on compressed sensing

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Experimental program
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Embodiment Construction

[0009] The present invention will be further described in detail below in conjunction with specific embodiments:

[0010] 1. Image bit-plane decomposition

[0011] A picture with For a bit-bit grayscale grayscale image, the pixel value of its pixel point can be expressed as the following formula:

[0012]

[0013] among them, Represents the first i Bit weight, Or 1, it is composed of all gray values ​​in the image The coefficients get a bit plane, and finally produce Bit planes. The upper bits of the bits have a large weight, so the impact on the pixel value is obvious. For color images, each pixel is composed of the three primary colors of R, G, and B, and each primary color has 256 gray levels. The bit plane is composed of each of the three primary colors of all pixels. Coefficient composition.

[0014] 2. Act on Chaotic encryption scrambling of an image bit plane

[0015] The Logistic chaotic function is used in the encryption and decryption process, and its mathematical exp...

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Abstract

The invention provides a method for image encryption, and a method of performing encryption on bit planes. A chaotic system acquisition interval is used as a secret key, and observation of generated bit planes is performed via a compressed sensing technology, and therefore, sampling compressed encryption of the image is achieved. Firstly, bit planes of an original image and an encrypted matrix are combined to form a scrambling image to undergo compressed sensing, then the encrypted scrambling image is observed via compressed sensing, and pixel diffusion of the observed image is performed via the encrypted matrix, and a final encrypted image is obtained. The chaotic system acquisition interval is used as the secret key, and confidentiality can be enhanced. The method is also advantageous in that, image bit plane scrambling is used, observed matrix features via compressed sensing is used, and the random characteristic of the chaotic system is fully used. When sampling compression of the image is performed, encryption of the image is completed, and transmission security of the image is effectively enhanced.

Description

Technical field [0001] The invention relates to image compression and encryption at the same time, and belongs to the field of image processing. Background technique [0002] As the application of digital image security becomes more and more extensive, more and more experts and scholars pay attention to it. Image encryption technology is the most reliable way to protect the security of digital images. Its main idea is to make the original visible image information into irregular information similar to random noise by performing a series of operations on the image, so as to cover the original image. The purpose of the useful information. Malicious attackers can't identify and crack any useful information of the original image without knowing the key, even if they know the decryption algorithm, so the encrypted image can be well protected during network transmission and storage. As a kind of special plaintext data information, digital image has some unique properties, such as lar...

Claims

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Application Information

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IPC IPC(8): G06T9/00H04L9/32
Inventor 李智朱嘉微王厚林李健华伟
Owner SICHUAN UNIV
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