Frame-based Programming, Stream-Based Processing for Medical Image Processing Applications
J.J. Hoozemans (TU Delft - Computer Engineering)
Rob de Jong (Philips Healthcare Nederland)
Steven Van Der van der Vlugt (Philips Healthcare Nederland)
Jeroen Van Straten (TU Delft - Computer Engineering)
Uttam Kumar Elango (Student TU Delft)
Z. Al Al-Ars (TU Delft - Computer Engineering)
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Abstract
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).
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