Image compression encryption and decryption method based on compressed sensing and DNA coding

Abstract

The invention provides an image compression encryption and decryption method based on compressed sensing and DNA coding, and the method comprises the steps: taking an original image as a parameter of an SHA-256 hash function, and obtaining a hyper-chaos Bao system integer sequence and a Logistic chaos integer sequence; converting the Logistic chaotic integer sequence into a second matrix; carrying out sparse and Arnold transformation on the original image by using wavelet transformation; constructing a Hadamard matrix as a measurement matrix based on the compression ratio; performing compression measurement on the image after sparse decomposition by using the measurement matrix to obtain a first matrix; carrying out block processing on the first matrix and the second matrix, and carrying out DNA coding, operation and decoding on each small block; dynamically controlling DNA coding, decoding and operation modes by a hyper-chaos Bao integer sequence; and combining all sub-blocks to obtain an encrypted image. The defect that traditional compressed sensing cannot resist plaintext attacks is overcome.

Description

technical field [0001] The invention relates to the field of image encryption, in particular to an image compression encryption and decryption method based on compressed sensing and DNA coding. Background technique [0002] With the development of the Internet, people will transmit various data through the network, so the risk of information leakage increases. [0003] Traditional image encryption algorithms have low computing efficiency, cannot resist plaintext attacks, and have poor anti-noise and anti-cropping capabilities. There is still a lot of room for improvement in terms of security. Contents of the invention [0004] The purpose of the present invention is to provide an image compression encryption method based on compressed sensing and DNA coding, to realize the encryption of grayscale images, so as to resist plaintext attacks and improve security. [0005] In order to achieve the above purpose, the following technical solutions are adopted: [0006] The inven...

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Problems solved by technology

[0003] Traditional image encryption algorithms have low computing efficiency, cannot resist plaintext attacks, and have poor anti-noise and anti-cropping capabilities. There is still a lot of room for improvement in terms of security.

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