Title page for ETD etd-0402103-151744


Type of Document Master's Thesis
Author Srivastava, Nitin
URN etd-0402103-151744
Title Adaptive Image Filtering Using Run-Time Reconfiguration
Degree Master of Science (M.S.)
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Jerry Trahan Committee Chair
R. Vaidyanathan Committee Member
Suresh Rai Committee Member
Keywords
  • adaptive image filtering
Date of Defense 2002-11-11
Availability unrestricted
Abstract
This thesis implements an adaptive linear smoothing image filtering algorithm, on a

Virtex™-E FPGA using run-time reconfiguration (RTR). An adaptive filter uses a filtering

window that runs over the entire image pixel-by-pixel, generating new (filtered) values of the

pixels. As the name suggests, an adaptive filter can adapt to the varying nature of an image by

adjusting the coefficients of the filtering window depending upon the local variance in the

intensity values of pixels. It filters an image in a non-uniform fashion providing greater

smoothing in largely uniform areas of the image and lesser smoothing when it encounters edges

and step changes in the image.

These continual changes, in the coefficient values of the adaptive filter pose a problem in

utilizing run-time reconfiguration (RTR) for its implementation, as benefits of RTR emerge only

with considerable computing time between reconfigurations. This thesis provides a solution to

this problem and reduces the running time of the algorithm through aggressive use of RTR.

This work provides details on the RTR implementation of an adaptive filter, along with

an estimate of running time and hardware resource requirements, when synthesized on the

Virtex™-E FPGA. We use a 3 ×3 size filtering window, and a 256 256 ×size gray scale image as

a specific case, achieving speedup of 31 and 84 over pure software implementations running on

Pentium III and Sun Ultra systems respectively.

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