An image compression and encryption scheme based on deep learning
This addresses secure image handling for internet users, but it is incremental as it applies existing methods to a new application.
The paper tackled image compression and encryption by combining a Stacked Auto-Encoder for compression with a chaotic logistic map for encryption, showing the approach is feasible and effective for simultaneous image transmission and protection.
Stacked Auto-Encoder (SAE) is a kind of deep learning algorithm for unsupervised learning. Which has multi layers that project the vector representation of input data into a lower vector space. These projection vectors are dense representations of the input data. As a result, SAE can be used for image compression. Using chaotic logistic map, the compression ones can further be encrypted. In this study, an application of image compression and encryption is suggested using SAE and chaotic logistic map. Experiments show that this application is feasible and effective. It can be used for image transmission and image protection on internet simultaneously.