Deep Learning Hash for Wireless Multimedia Image Content Security

Figure 1

Deep learning-hash retrieval framework. IDLH consists of three main components (preprocessing layer, deep neural network layer, and hash layer). The object of the first layer is simply scaled, sample-by-sample mean-value reduction, and whitening. In the second component, we develop a deep neural network to obtain the feature expression function of the image. And the classifier weights and feature binary codes are simultaneously learned in the last component-hash layer.