| Paper: | DISPS-P3.7 | ||
| Session: | High Performance DSP Architectures and Systems | ||
| Time: | Friday, May 21, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Design and Implementation of Signal Processing Systems: Design Methodology and Rapid Prototyping | ||
| Title: | ON THE SIMULATION AND DEVELOPMENT OF MASSIVE PARALLEL DIGITAL ARCHITECTURES FOR MARKOV RANDOM FIELDS | ||
| Authors: | Stephan Christoph Stilkerich; EADS Corporate Research Center | ||
| Rupert Reiger; EADS Corporate Research Center | |||
| Abstract: | Markov Random Field modeling is a powerful parallelprocessing paradigm which can suitable deal with the huge amount of data inthe domain of low-level image processing problems. This paper describes anovel combined Simulation and semi\-conductor-technology independent VLSIdesign environment for Markov Random Field based processing models and systems. Theconcepts of the proposed novel combined Simulation- and VLSIDesign- Environment are experimentally demonstrated and proved by simulationresults and detailed chip-layouts of a special Markov Random Field, whichsimultaneously solves the image processing problem of noise removing,intensity-level preserving and intensity histogram based segmentation. | ||
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