Color Image Encryption Method Based on Compressed Sensing and Deformable Coupling Map Lattice

Abstract

The invention belongs to the technical field of information security, and in particular relates to a color image encryption method based on compressed sensing and deformable coupling image lattice, comprising: separating three primary color components of a color plaintext image to obtain a component matrix; combining with an initial key, through SHA-256 The function updates the parameters and initial values ​​of the deformation coupling image lattice, obtains the measurement matrix and key stream by iterating the space-time chaotic system; divides the component matrix and obtains a new image matrix; generates a sparse dictionary for the new image matrix; uses the measurement matrix to measure the new image to obtain the intermediate image; transform the intermediate image into a coefficient matrix, perform scrambling and diffusion operations in the frequency domain to obtain a scrambled diffusion matrix; use the key stream matrix, perform pixel-level diffusion operations on the scrambled diffusion matrix, and obtain the final encryption text images. The invention effectively resists statistics, known and selected plaintext, selected ciphertext attacks, etc., improves security and encryption effect, and has good application prospect.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to a color image encryption method based on compressed sensing and deformable coupled image lattices, which realizes digital image encryption by using compressed sensing technology, space-time chaotic system and frequency domain transformation for color images. Background technique [0002] With the popularization of computer network and multimedia technology, mobile phones, computers, tablets and other electronic devices have spread to all areas of people's production and life. Various data information is transmitted and stored on these electronic devices by means of the network. Most of these information are digital images. This is because digital images can display the content of information with vivid, intuitive and vivid features. However, in the process of transmission and storage, digital image information may encounter security issues such as acciden...

AI Technical Summary

Problems solved by technology

Although this kind of sparse transformation has a small amount of calculation and is convenient for transformation, it uses the same transformation method for all different images and lacks adaptability.

Moreover, the measurement matrix of some algorithms is composed of Gaussian random matrix, Bernoulli matrix, Toeplitz measurement matrix or circular measurement matrix, which takes up a lot of space in the process of storage and transmission.

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