Cognitive Vision and Perceptual Grouping by Production Systems with Blackboard Control – An Example for High-Resolution SAR-Images

Michaelsen, Eckart; Middelmann, Wolfgang; Soergel, Uwe

doi:10.1007/978-3-540-75274-5_20

Cited by 2 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unlike low or medium level algorithms, high level image processing does not lend itself well to a pure Hardware approach, as it typically requires a complex control flow. One example is cognitive vision based on production systems [22]. One way of increasing the computational power needed for such applications is to use multiple parallel microprocessors, which will be placed as a Multiprocessor System-on-Chip (MPSoC) on the FPGA.…”

Section: Exploitation Of Dynamic and Partial Reconfigurationmentioning

confidence: 99%

Adaptive real-time image processing exploiting two dimensional reconfigurable architecture

Braun

Göhringer

Perschke

et al. 2008

J Real-Time Image Proc

View full text Add to dashboard Cite

Fine grained reconfigurable architectures, like Xilinx field programmable gate arrays (FPGAs) provide a high flexibility through runtime re-programming, called dynamic and partial reconfiguration. This feature allows for runtime adaptation of the system architecture and behavior configured on the FPGA. The exploitation of this feature enables to load video image processing algorithms ondemand in order to adapt the configuration in correspondence to the changing requirements of the application depending on the image content. For high resolution sensor images, this novel computing paradigm can provide a huge benefit in power reduction and performance gain for actual and future embedded electronic systems. This paper presents a two dimensional system approach exploiting dynamic and partial reconfiguration in order to adapt the system architecture to the actual requirements of image processing applications. The methodology of runtime reconfiguration can be exploited beneficially for highly adaptive multiprocessor systems. Such systems, different from the traditional static approach for multi-and manycore architectures have the advantage, for providing computational performance directly linked to the requirements of the application. The architecture presented in this paper allows for adapting the processing elements as well as the communication infrastructure which is a novel 2D switchbased Network-on-Chip. The presented approach follows and extends the actual trend in computer science of using many-and multi-core processors for bridging the gap between required computation performance for future application in the field of image processing.

show abstract

Section: Exploitation Of Dynamic and Partial Reconfigurationmentioning

confidence: 99%