Unlock instant, AI-driven research and patent intelligence for your innovation.

A Color Image Compression Encryption Method

An encryption method and color image technology are applied in the direction of secure communication through chaotic signals, digital transmission systems, and secure communication devices. It can solve the problems of scrambling and diffusion methods such as security, low compression rate, etc., and save transmission bandwidth. , good randomness, small size effect

Active Publication Date: 2021-11-19
HENAN UNIVERSITY
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems of limited compression rate and low security of scrambling and diffusion methods in some current image compression encryption algorithms based on compressed sensing, the present invention provides a color image compression method based on two-dimensional compressed sensing and memristive chaotic system encryption method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Color Image Compression Encryption Method
  • A Color Image Compression Encryption Method
  • A Color Image Compression Encryption Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0094] Such as figure 1 As shown, the embodiment of the present invention provides a color image encryption method based on two-dimensional compressed sensing and memristive chaotic system, comprising the following steps:

[0095] S101: Decompose the color plaintext image P with a size of M×N into RGB to obtain three components of RGB, and perform two-dimensional discrete wavelet transform on the three components of RGB respectively to obtain a sparse coefficient matrix R 1 , G 1 and B 1 ;

[0096] S102: According to the information entropy h of the RGB three-component r 、h g and h b , and the preset external key t 1 , t 2 , t 3 and t 4 , to generate the initial value x of the 4D memristive chaotic system 0 、y 0 ,z 0 and w 0 , according to the initial value x 0 、y 0 ,z 0 、w 0 Generation of four chaotic sequences X using a 4D memristive chaotic system 1 , Y 1 ,Z 1 and W 1 ;

[0097] Specifically, the embodiment of the present invention can adopt a new 4D m...

Embodiment 2

[0116] On the basis of the above examples, if figure 2 As shown, the embodiment of the present invention also provides a color image encryption method based on two-dimensional compressed sensing and memristive chaotic system, comprising the following steps:

[0117] S201: Decompose the color plaintext image P with a size of M×N into RGB to obtain three components of RGB, and perform two-dimensional discrete wavelet transform on the three components of RGB respectively to obtain a sparse coefficient matrix R 1 , G 1 and B 1 ;

[0118] S202: Generate an initial value x of the 4D memristive chaotic system 0 、y 0 ,z 0 and w 0 , and generate four chaotic sequences X based on the initial value 1 , Y 1 ,Z 1 and W 1 , including the following substeps:

[0119] S2021: Calculate the information entropy h of the RGB three-component according to formula (4) r 、h g and h b :

[0120]

[0121] In formula (4), b is a bit level.

[0122] S2022: According to the information...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a color image compression and encryption method based on two-dimensional compressed sensing and memristive chaotic system. This method first decomposes the plaintext image into three components of R, G, and B, and then obtains three sparse coefficient matrices by two-dimensional discrete wavelet transform respectively, and then performs double random position scrambling on the sparse coefficient matrix by using Arnold mapping and index vector , and then perform two-dimensional compressed sensing and quantization on the scrambled matrix, perform simultaneous multi-random pixel value diffusion within and between components of R, G, and B on the quantized matrix, and finally obtain a ciphertext image. The information entropy of the plaintext image and the external key are used to generate the initial value of the 4D memristive chaotic system, and then the initial value is brought into the 2D-LSCM chaotic system, and the generated chaotic sequence constructs two measurement matrices. The invention not only makes the gray value distribution of the ciphertext image uniform, making it difficult for an attacker to perform statistical attack analysis on the ciphertext image to obtain plaintext information, but also enhances the security level of the method of the invention.

Description

technical field [0001] The invention relates to the technical field of image encryption, in particular to a color image compression encryption method based on two-dimensional compressed sensing and memristive chaotic system. Background technique [0002] As a carrier of information, images are widely used because they are vivid, vivid, intuitive, can be stored for a long time, and are easy to transmit. Some of the image information may involve personal privacy, business secrets, military secrets and even national security. Once it is copied, maliciously spread or tampered by attackers during network transmission, the consequences will be very serious. Encrypting images to make meaningful images meaningless can effectively protect the security of these private information in transmission and storage. In our daily life, most of our common images are color images, which have inherent characteristics such as large data volume, high redundancy, strong correlation between adjacen...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04L9/00H04L29/06
CPCH04L9/001H04L63/0428H04L69/04
Inventor 柴秀丽王音景田野毕建强付江豫支相丞甘志华路杨
Owner HENAN UNIVERSITY