Color image encryption method based on compressed sensing and deformation coupling mapping lattices

Abstract

The invention belongs to the technical field of information security, and particularly relates to a color image encryption method based on compressed sensing and deformation coupling mapping lattices,which comprises the following steps: separating three primary color components of a color plaintext image to obtain a component matrix; updating parameters and initial values of the deformation coupling image grids through an SHA-256 function in combination with the initial key, and obtaining a measurement matrix and a key stream through an iterative space-time chaotic system; segmenting the component matrix and obtaining a new image matrix; generating a sparse dictionary for the new image matrix; measuring a new image by using the measurement matrix to obtain an intermediate image; converting the intermediate image into a coefficient matrix, and executing scrambling and diffusion operations in a frequency domain to obtain a scrambling diffusion matrix; and performing pixel-level diffusion operation on the scrambling diffusion matrix by using the key stream matrix to obtain a final ciphertext image. Statistics, known and selected plaintexts, selected ciphertext attacks and the like are effectively resisted, the safety and the encryption effect are improved, and the method has a 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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