Title page for ETD etd-07022004-231204


Type of Document Master's Thesis
Author Tetala Satya Surya, Dattatreya Reddy
Author's Email Address dtetal1@lsu.edu
URN etd-07022004-231204
Title Zooplankton Visualization System: Design and Real-Time Lossless Image Compression
Degree Master of Science in Electrical Engineering (M.S.E.E.)
Department Electrical & Computer Engineering
Advisory Committee
Advisor Name Title
Jerry Trahan Committee Chair
Bahadir K. Gunturk Committee Member
Mark C. Benfield Committee Member
R. Vaidyanathan Committee Member
Keywords
  • VHDL
  • modelsim
  • cadence
  • buildgates
  • Verilog
  • architecture
  • tiff
  • 16-bit images
  • DWT
  • S+P transform
  • xilinx
  • new algorithm
  • design
  • programming
  • visual c
  • cameralink
  • storage media
  • strobe
  • acquistion
  • framegrabber
  • zoovis
  • zooplankton
  • high frame rate
  • fast data transfer
  • ide
  • operating system
  • embedded
  • camera
Date of Defense 2004-05-06
Availability unrestricted
Abstract
In this thesis, I present a design of a small, self-contained, underwater plankton imaging

system. I base the imaging systemís design on an embedded PC architecture based on

PC/104-Plus standards to meet the compact size and low power requirements. I developed a

simple graphical user interface to run on a real-time operating system to control the imaging

system.

I also address how a real-time image compression scheme implemented on an FPGA chip

speeds up image transfer speeds of the imaging system. Since lossless compression of the

image is required in order to retain all image details, I began with an established

compression scheme like SPIHT, and latter proposed a new compression scheme that

suits the imaging systemís requirements. I provide an estimate of the total amount of

resources required and propose suitable FPGA chips to implement the compression

scheme. Finally, I present various parallel designs by which the FPGA chip can be

integrated into the imaging system.

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