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Frame-based Programming, Stream-Based Processing for Medical Image Processing Applications.

Joost Hoozemans1, Rob de Jong2, Steven van der Vlugt2

  • 11Computer Engineering Laboratory, Delft University of Technology, Delft, The Netherlands.

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Summary
This summary is machine-generated.

This study introduces a novel platform for deploying image and video processing pipelines on stream-oriented hardware like FPGAs. It accelerates algorithm development by enabling rapid testing of software iterations, reducing development time significantly.

Keywords:
FPGAImage processingMedical imaging

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Area of Science:

  • Computer Engineering
  • Digital Signal Processing
  • Hardware Acceleration

Background:

  • Deploying frame-oriented image and video processing pipelines on stream-oriented hardware (e.g., FPGAs) presents challenges.
  • The traditional algorithm development phase, including debugging and optimization, is time-consuming.

Purpose of the Study:

  • To present and evaluate an approach for deploying frame-oriented image and video processing pipelines on stream-oriented hardware.
  • To reduce the time required for algorithm development, debugging, and optimization.

Main Methods:

  • Development of a specialized streaming memory hierarchy and software framework for transparent image segment movement.
  • Utilization of softcore VLIW (Very Long Instruction Word) processors with C compiler targeting and hardware debugging capabilities.
  • Evaluation and debugging of software before High-Level Synthesis (HLS) flow.

Main Results:

  • The proposed platform enables rapid testing of software iterations in seconds (compilation time) instead of hours (synthesis or simulation time).
  • Facilitates parallel development and testing for both software developers and hardware designers.

Conclusions:

  • The developed platform significantly accelerates the development cycle for image and video processing on FPGAs.
  • Offers a more efficient approach to hardware-software co-design for real-time processing applications.