TY - JOUR
AU - Al-Ars, Zaid
AB - This paper presents and evaluates an approach to deploy image and video processing pipelines that are developed frame-oriented on a hardware platform that is stream-oriented, such as an FPGA. First, this calls for a specialized streaming memory hierarchy and accompanying software framework that transparently moves image segments between stages in the image processing pipeline. Second, we use softcore VLIW processors, that are targetable by a C compiler and have hardware debugging capabilities, to evaluate and debug the software before moving to a High-Level Synthesis flow. The algorithm development phase, including debugging and optimizing on the target platform, is often a very time consuming step in the development of a new product. Our proposed platform allows both software developers and hardware designers to test iterations in a matter of seconds (compilation time) instead of hours (synthesis or circuit simulation time).
TI - Frame-based Programming, Stream-Based Processing for Medical Image Processing Applications
JF - Journal of Signal Processing Systems
DO - 10.1007/s11265-018-1422-3
DA - 2019-01-04
UR - https://www.deepdyve.com/lp/springer-journals/frame-based-programming-stream-based-processing-for-medical-image-6GLibjui7E
SP - 47
EP - 59
VL - 91
IS - 1
DP - DeepDyve
ER -