  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.
