ArticleEntropy (Basel, Switzerland)2022
Image Encryption Scheme Based on Mixed Chaotic Bernoulli Measurement Matrix Block Compressive Sensing.
Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Deep CNN chaotic key generator for multi-parameter elliptic curves over cybersecurity image encryption application.Scientific reports · 2026Article
- Compressed Adaptive-Sampling-Rate Image Sensing Based on Overcomplete Dictionary.Entropy (Basel, Switzerland) · 2025Article
- Construction of a risk screening and visualization system for pulmonary nodule in physical examination population based on feature self-recognition machine learning model.Frontiers in medicine · 2024Article
- Deep Compressive Sensing on ECG Signals with Modified Inception Block and LSTM.Entropy (Basel, Switzerland) · 2022Article
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3 authors.
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Abstract
Many image encryption schemes based on compressive sensing have poor reconstructed image quality when the compression ratio is low, as well as difficulty in hardware implementation. To address these problems, we propose an image encryption algorithm based on the mixed chaotic Bernoulli measurement matrix block compressive sensing. A new chaotic measurement matrix was designed using the Chebyshev map and logistic map; the image was compressed in blocks to obtain the measurement values. Still, using the Chebyshev map and logistic map to generate encrypted sequences, the measurement values were encrypted by no repetitive scrambling as well as a two-way diffusion algorithm based on GF(257) for the measurement value matrix. The security of the encryption system was further improved by generating the Secure Hash Algorithm-256 of the original image to calculate the initial values of the chaotic mappings for the encryption process. The scheme uses two one-dimensional maps and is easier to implement in hardware. Simulation and performance analysis showed that the proposed image compression-encryption scheme can improve the peak signal-to-noise ratio of the reconstructed image with a low compression ratio and has good encryption against various attacks.
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