Convolutional Neural Networks With Discrete Cosine Transform Features

The Discrete Cosine Transform (DCT) exposes features of an image that are not evident in the original image's spatial domain. This brief contribution proposes a Convolutional Neural Network architecture that combines features from the spatial domain
and
the DCT domain to improve image classification performance with negligible overhead.