Type of Document	Thesis
Author	Iqbal, Faizal M
Author's Email Address	faizal@ieee.org
URN	etd-04062004-225402
Title	Wavelet Transform Based Image Compression on Fpga
Degree	Master of Science
Department	Electrical and Computer Engineering, Department of
Advisory Committee	Advisor Name Title Simon Y Foo Committee Chair Rodney Roberts Committee Member Uwe H. Meyer-Baese Committee Member
Keywords	Hardware Wavelet Transform Image Compression Fpga Vlsi Jpeg2000
Date of Defense	2004-02-27
Availability	unrestricted
Abstract Wavelet Transform has been successfully applied in different fields, ranging from pure mathematics to applied sciences. Numerous studies carried out on Wavelet Transform have proven its advantages in image processing and data compression. Recent progress has made it the basic encoding technique in data compression standards. Pure software implementations of the Discrete Wavelet Transform, however, appear to be the performance bottleneck in real-time systems. Therefore, hardware acceleration of the Discrete Wavelet Transform has become a topic of interest. The goal of this work is to investigate the feasibility of hardware acceleration of Discrete Wavelet Transform for image compression applications, and to compare the performance improvement against the software implementation. In this thesis, a design for efficient hardware acceleration of the Discrete Wavelet Transform is proposed. The hardware is designed to be integrated as an extension to custom-computing platform and can be used to accelerate multimedia applications as JPEG2000 or MPEG-4.
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