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6 April 2023 Image compression and encryption algorithm via deep compressed sensing
Bingbing Jin
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Proceedings Volume 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022); 1261504 (2023) https://doi.org/10.1117/12.2673815
Event: International Conference on Signal Processing and Communication Technology (SPCT 2022), 2022, Harbin, China
Abstract
In this paper, we propose an image encryption algorithm via deep compressed sensing. First, a convolutional network is used to sample the image and produce the results of the sampling. Second, the matrix STP calculation is conducted on the sampled results utilizing a logistic chaos system, SHA-256, and a chaotic sequence matrix produced from a normal image in order to produce the final encrypted image. During the decryption procedure, the decryption measurements are obtained by performing the STP inverse operation on the encrypted image and the chaotic sequence matrix, and the measurements are then transmitted to the reconstructed image network to get the final decrypted image. Experiments demonstrate that the method provides a high level of image reconstruction quality, security, and runtime simplicity.
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Bingbing Jin "Image compression and encryption algorithm via deep compressed sensing", Proc. SPIE 12615, International Conference on Signal Processing and Communication Technology (SPCT 2022), 1261504 (6 April 2023); https://doi.org/10.1117/12.2673815
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KEYWORDS
Image encryption
Image restoration
Image compression
Image quality
Matrices
Reconstruction algorithms
Sampling rates
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