A Parameterized Architecture Model in High Level Synthesis for Image Processing Applications

Abstract

Most image processing applications are computationally intensive and data intensive. Reconfigurable hardware boards provide a convenient and flexible solution to speed up these algorithms. To get a high performance design without going through the time-consuming hardware design process for each different algorithm, we present a universal parameterized architecture in high level synthesis to generate the hardware frames for all image processing applications automatically. The value of the parameters which decide the target architecture can be obtained from the compiler. The algorithm how to get these parameters is also discussed in this paper.