Image Bitplane Chaos Encryption Method Based on Compressed Sensing

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 simultaneously, and belongs to the field of image processing. Background technique [0002] As the application of digital images becomes more and more widespread, more and more experts and scholars pay more and more attention to the security issues of digital images. 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 random noise-like information through a series of operations on the image, so as to cover up the original image. purpose of useful information. Malicious attackers can't decipher any useful information of the original image even if they know the decryption algorithm without knowing the key, so the encrypted image can be well protected during network transmission and storage. As a special plaintext data information, digital image has some unique properties, su...

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 signal. However, such an excessive sampling rate will inevitably lead to a higher amount of sampled data. It brings great challenges to information transmission, storage and information processing

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