Detail publikace

Towards Automatic Design of Competitive Image Filters in FPGAs

Originální název

Towards Automatic Design of Competitive Image Filters in FPGAs

Anglický název

Towards Automatic Design of Competitive Image Filters in FPGAs

Jazyk

en

Originální abstrakt

This paper presents a new approach to the FPGA implementation of image filters which are utilized to remove the salt and pepper noise of high intensity. An evolutionary algorithm (EA) is utilized to find a set of image filters which can be employed in a bank of image filters. The main advantage of this approach is that the bank of evolutionary designed filters requires four times less resources on a chip in comparison with the adaptive median filter while the visual quality of filtering is preserved. The proposed solution also exhibits a very good behavior for the impulse bursts noise. In order to design image filters in reasonable time, an FPGA-based evolutionary platform is utilized. The proposed platform is based on the implementation of a search algorithm in the PowerPC processor which is available in Xilinx Virtex II Pro and newer FPGAs. As the search algorithm as well as the evaluation of candidate solution runs in FPGA, the evolutionary design of image filters needs approx. 44 times less time to design a human-competitive filter when compared to the same algorithm running on the common PC.

Anglický abstrakt

This paper presents a new approach to the FPGA implementation of image filters which are utilized to remove the salt and pepper noise of high intensity. An evolutionary algorithm (EA) is utilized to find a set of image filters which can be employed in a bank of image filters. The main advantage of this approach is that the bank of evolutionary designed filters requires four times less resources on a chip in comparison with the adaptive median filter while the visual quality of filtering is preserved. The proposed solution also exhibits a very good behavior for the impulse bursts noise. In order to design image filters in reasonable time, an FPGA-based evolutionary platform is utilized. The proposed platform is based on the implementation of a search algorithm in the PowerPC processor which is available in Xilinx Virtex II Pro and newer FPGAs. As the search algorithm as well as the evaluation of candidate solution runs in FPGA, the evolutionary design of image filters needs approx. 44 times less time to design a human-competitive filter when compared to the same algorithm running on the common PC.

BibTex


@inproceedings{BUT30722,
  author="Zdeněk {Vašíček}",
  title="Towards Automatic Design of Competitive Image Filters in FPGAs",
  annote="This paper presents a new approach to the FPGA implementation of image filters
which are utilized to remove the salt and pepper noise of high intensity. An
evolutionary algorithm (EA) is utilized to find a set of image filters which can
be employed in a bank of image filters. 

The main advantage of this approach is that the bank of evolutionary designed
filters requires four times less resources on a chip in comparison with the
adaptive median filter while the
visual quality of filtering is preserved. The proposed solution also exhibits
a very good behavior for the impulse bursts noise.

In order to design image filters in reasonable time, an FPGA-based evolutionary
platform is
utilized. The proposed platform is based on the implementation
of a search algorithm in the PowerPC processor which is available in Xilinx
Virtex II Pro and newer FPGAs.
As the search algorithm as well as the evaluation of candidate solution runs in
FPGA, 
the evolutionary design of image filters needs approx. 44 times less time to
design a human-competitive filter when compared to the same algorithm running on
the common PC.",
  address="Technical University Wien",
  booktitle="Proceedings of Junior Scientist Conference 2008",
  chapter="30722",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Technical University Wien",
  year="2008",
  month="november",
  pages="55--56",
  publisher="Technical University Wien",
  type="conference paper"
}