Detail publikace

Towards New Applications of Multi-Function Logic: Image Multi-Filtering

Originální název

Towards New Applications of Multi-Function Logic: Image Multi-Filtering

Anglický název

Towards New Applications of Multi-Function Logic: Image Multi-Filtering

Jazyk

en

Originální abstrakt

Multifunctional (or polymorphic) gates are capable of performing two or more logic functions according to the setting of control signals. They can be considered as building blocks for new and cheap reconfigurable chips. In this paper, we utilized multifunctional components that can be implemented using multifunctional gates as building blocks of image filters. We applied genetic programming to evolve image filters performing different filtering tasks under different settings of control signals. Evolved solutions exhibit a significant reduction in utilized operations and interconnects w.r.t. the multiplexing of conventional solutions.

Anglický abstrakt

Multifunctional (or polymorphic) gates are capable of performing two or more logic functions according to the setting of control signals. They can be considered as building blocks for new and cheap reconfigurable chips. In this paper, we utilized multifunctional components that can be implemented using multifunctional gates as building blocks of image filters. We applied genetic programming to evolve image filters performing different filtering tasks under different settings of control signals. Evolved solutions exhibit a significant reduction in utilized operations and interconnects w.r.t. the multiplexing of conventional solutions.

BibTex


@inproceedings{BUT91451,
  author="Lukáš {Sekanina} and Vojtěch {Salajka}",
  title="Towards New Applications of Multi-Function Logic: Image Multi-Filtering",
  annote="Multifunctional (or polymorphic) gates are capable of performing two or more
logic functions according to the setting of control signals. They can be
considered as building blocks for new and cheap reconfigurable chips. In this
paper, we utilized multifunctional components that can be implemented using
multifunctional gates as building blocks of image filters. We applied genetic
programming to evolve image filters performing different filtering tasks under
different settings of control signals. Evolved solutions exhibit a significant
reduction in utilized operations and interconnects w.r.t. the multiplexing of
conventional solutions.",
  address="European Design and Automation Association",
  booktitle="Proc. of the 2012 Design, Automation and Test in Europe",
  chapter="91451",
  doi="10.1109/DATE.2012.6176608",
  edition="NEUVEDEN",
  howpublished="print",
  institution="European Design and Automation Association",
  year="2012",
  month="march",
  pages="824--827",
  publisher="European Design and Automation Association",
  type="conference paper"
}