Multiscale two-dimensional permutation entropy to analyze encrypted images.

Published in: Chaos (Woodbury, N.Y.) (2023)

Multiscale versions of weighted (and non-weighted) permutation entropy for two dimensions are considered in order to compare and analyze the results when different experiments are conducted. We propose the application of these measures to analyze encrypted images with different security levels and encryption methods.

Keyphrases

deep learning
convolutional neural network
magnetic resonance
optical coherence tomography
contrast enhanced
network analysis
magnetic resonance imaging
computed tomography
public health