3D image processing using deep neural network

In 3D image processing field, many researches have been conducted, such as multiview image coding and data compression, view interpolation, coded aperture based light field acquisition, and light field display signal calculation. The challenge of these technologies is that they usually require heavy computation due to the large amount of data. In this paper, we report the results of some experiments where we replace these computation with deep neural network (DNN) and convolutional neural network (CNN). In some of the cases, DNN and CNN show better performance than conventional methods both in quality and calculation speed.