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University of New Orleans

Implementation of Directional Median Filtering using Field Programmable Gate Arrays

Abstract

dc:description.abstract

<p>Median filtering is a non-linear filtering technique which is effective in removing impulsive noise from data. In this thesis, directional median filtering has been implemented using cumulative histogram of samples in several directions. Different methods to implement directional median filtering have been proposed. The filtered images are smoothed along the direction of the filtering window. All implementations aimed to generate outputs in the least amount of time, while reducing the resource utilization on hardware. The implementation methods were designed for Xilinx Virtex 5 FPGA devices but were also attempted on Spartan 3E. The proposed methods used less than 30% of the resources on Virtex 5 FPGA but the resource utilization on Spartan 3E exceeded the number of available resources. After an initial delay, methods 1 and 2 generate a new output for every 5 clock cycles while method 3 generates an output for every 1.5 clock cycles.</p>

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis-Restricted
Discipline thesis:degree_discipline
Electrical Engineering
Year
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gundam, Madhuri
Contributors dc:contributor
  • Charalampidis, Dimitrios
  • Jilkov, Vesselin
  • Azzam, Rasheed

Subjects

dc:subject × 9

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.uno.edu/td/111
OAI identifier oai:identifier
oai:scholarworks.uno.edu:td-1110

Chain of custody

source
Harvested from
University of New Orleans
Base URL
scholarworks.uno.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Gundam, Madhuri. Implementation of Directional Median Filtering using Field Programmable Gate Arrays. Thesis-Restricted thesis, 2010. https://scholarworks.uno.edu/td/111