Chen Hong
ABSTRACT
In the case of limited bandwidth and storage space, the traditional image encryption algorithm cannot achieve both compression and encryption. This paper studies the image encryption algorithm based on compressed sensing theory. In this paper, the chaotic sequence generated by various chaotic equations is applied to construct the perceptual matrix, and then the parallel signal compression sampling scheme is assumed to process the original signal. Then the scrambling and diffusion mechanism is used to further encrypt the measured value which improves the security of transmitting ciphertext. Finally, the Orthogonal Matching Pursuit (OMP) is utilized to reconstruct the measured values to obtain the reconstructed signal to recover the image. The test results manifest that the high compression ratio can be maintained on the basis of ensuring the encryption efficiency and quality of the image. The security performance test results such as key space, plaintext sensitivity and information entropy illustrate that the encryption algorithm in this paper has high security.
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Digital Library
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- Q. Wang, M. Wei, X. Chen, and Z. Miao, "Joint encryption and compression of 3D images based on tensor compressive sensing with non-autonomous 3D chaotic system," Multimedia Tools and Applications, vol. 77, pp. 1715--1734, 2018.Google ScholarDigital Library
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Index Terms
- Research on Image Encryption Based on Compressed Sensing
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