Delft University of Technology
In this paper, the authors propose a heterogeneous hardware accelerator architecture to support streaming image processing. Each image in a data-set is pre-processed on a host processor and sent to hardware kernels. The host processor and the hardware kernels process a stream of images in parallel. The convey hybrid computing system is used to develop their proposed architecture. They use the canny edge detection algorithm as their case study. The data-set used for their experiment contains 7200 images.