Detail publikace
An Area-Efficient Alternative to Adaptive Median Filtering in FPGAs
VAŠÍČEK, Z. SEKANINA, L.
Originální název
An Area-Efficient Alternative to Adaptive Median Filtering in FPGAs
Anglický název
An Area-Efficient Alternative to Adaptive Median Filtering 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 (up to 70% of corrupted pixels). The proposed solution combines image filters designed by means of evolutionary algorithm with a simple human-designed preprocessing and post-processing unit. It provides the same filtering capability as a standard adaptive median filter; however, using four times less Virtex slices.
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 (up to 70% of corrupted pixels). The proposed solution combines image filters designed by means of evolutionary algorithm with a simple human-designed preprocessing and post-processing unit. It provides the same filtering capability as a standard adaptive median filter; however, using four times less Virtex slices.
Dokumenty
BibTex
@inproceedings{BUT28818,
author="Zdeněk {Vašíček} and Lukáš {Sekanina}",
title="An Area-Efficient Alternative to Adaptive Median Filtering 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 (up to
70% of corrupted pixels). The proposed solution combines image filters designed
by means of evolutionary algorithm with a simple human-designed preprocessing and
post-processing unit. It provides the same filtering capability as a standard
adaptive median filter; however, using four times less Virtex slices.
",
address="IEEE Computer Society",
booktitle="Proc. of 2007 International Conference on Field Programmable Logic and Applications",
chapter="28818",
howpublished="print",
institution="IEEE Computer Society",
year="2007",
month="august",
pages="216--221",
publisher="IEEE Computer Society",
type="conference paper"
}