Detail publikace

Two-Step Evolution of Polymorphic Circuits for Image Multi-Filtering

Originální název

Two-Step Evolution of Polymorphic Circuits for Image Multi-Filtering

Anglický název

Two-Step Evolution of Polymorphic Circuits for Image Multi-Filtering

Jazyk

en

Originální abstrakt

This paper proposes to implement multifunctional image filters using multifunctional gates such as polymorphic gates or multiplexed ordinary gates. The design procedure is based on evolutionary design and optimization conducted using Cartesian genetic programming (CGP). Because of the complexity of the problem the design is decomposed to two phases. In the first step, a multifunctional filter is evolved at the register-transfer level (RTL) using a set of processing elements containing functions such as minimum/maximum, minimum/average etc. over two pixels. In the second step, gate-level implementations of the processing elements utilized in evolved filters are designed and optimized using CGP in combination with conventional logic synthesis tools. It is shown that resulting filters exhibit good filtering capabilities. They are also area-efficient in comparison with solutions based on multiplexing of ordinary filters.  

Anglický abstrakt

This paper proposes to implement multifunctional image filters using multifunctional gates such as polymorphic gates or multiplexed ordinary gates. The design procedure is based on evolutionary design and optimization conducted using Cartesian genetic programming (CGP). Because of the complexity of the problem the design is decomposed to two phases. In the first step, a multifunctional filter is evolved at the register-transfer level (RTL) using a set of processing elements containing functions such as minimum/maximum, minimum/average etc. over two pixels. In the second step, gate-level implementations of the processing elements utilized in evolved filters are designed and optimized using CGP in combination with conventional logic synthesis tools. It is shown that resulting filters exhibit good filtering capabilities. They are also area-efficient in comparison with solutions based on multiplexing of ordinary filters.  

BibTex


@inproceedings{BUT96889,
  author="Lukáš {Sekanina} and Vojtěch {Salajka} and Zdeněk {Vašíček}",
  title="Two-Step Evolution of Polymorphic Circuits for Image Multi-Filtering",
  annote="

This paper proposes to implement multifunctional image filters using
multifunctional gates such as polymorphic gates or multiplexed ordinary gates.
The design procedure is based on evolutionary design and optimization conducted
using Cartesian genetic programming (CGP). Because of the complexity of the
problem the design is decomposed to two phases. In the first step,
a multifunctional filter is evolved at the register-transfer level (RTL) using
a set of processing elements containing functions such as minimum/maximum,
minimum/average etc. over two pixels. In the second step, gate-level
implementations of the processing elements utilized in evolved filters are
designed and optimized using CGP in combination with conventional logic synthesis
tools. It is shown that resulting filters exhibit good filtering capabilities.
They are also area-efficient in comparison with solutions based on multiplexing
of ordinary filters.  ",
  address="Institute of Electrical and Electronics Engineers",
  booktitle="2012 IEEE World Congress on Computational Intelligence",
  chapter="96889",
  doi="10.1109/CEC.2012.6256164",
  edition="NEUVEDEN",
  howpublished="online",
  institution="Institute of Electrical and Electronics Engineers",
  year="2012",
  month="june",
  pages="432--439",
  publisher="Institute of Electrical and Electronics Engineers",
  type="conference paper"
}