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IEEE 17th International Conference on Application-specific Systems, Architectures and Processors (ASAP'06)
A Design Methodology for Hardware Acceleration of Adaptive Filter Algorithms in Image Processing
Steamboat Springs, Colorado, USA
September 11-September 13
ISBN: 0-7695-2682-9
Hritam Dutta, University of Erlangen-Nuremberg, Germany
Frank Hannig, University of Erlangen-Nuremberg, Germany
Jurgen Teich, University of Erlangen-Nuremberg, Germany
Benno Heigl, Siemens AG, Medical Solutions (AX), Forchheim, Germany.
Heinz Hornegger, Siemens AG, Medical Solutions (AX), Forchheim, Germany.
Massively parallel processor array architectures can be used as hardware accelerators for a plenty of dataflow dominant applications. Bilateral filtering is an example of a state-of-the-art algorithm in medical imaging, which falls in the class of 2D adaptive filter algorithms. In this paper, we propose a semi-automatic mapping methodology for the generation of hardware accelerators for such a generic class of adaptive filtering applications in image processing. The final architecture deliver similar synthesis results as a hand-tuned design.
Citation:
Hritam Dutta, Frank Hannig, Jurgen Teich, Benno Heigl, Heinz Hornegger, "A Design Methodology for Hardware Acceleration of Adaptive Filter Algorithms in Image Processing," asap, pp.331-340, IEEE 17th International Conference on Application-specific Systems, Architectures and Processors (ASAP'06), 2006
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