Implementation of parallel image processing algorithms in the Cloner environment

Abstract

Cloner is a prototyping environment for computer vision and image processing (CVIP) algorithms and tasks. It is being designed to allow users to take advantage of the computing power provided by parallel processing systems without requiring an extensive understanding of the underlying architecture. In this paper, we focus on the use of Cloner to achieve high-performance implementations for a class of low-level CVIP algorithms.