Document Type
Thesis
Degree
Master of Science (MS)
Major/Program
Computer Engineering
First Advisor's Name
Armando Barreto
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
Malek Adjouadi
Third Advisor's Name
Jean Adrian
Date of Defense
11-28-2000
Abstract
Communication has become an essential function in our civilization. With the increasing demand for communication channels, it is now necessary to find ways to optimize the use of their bandwidth. One way to achieve this is by transforming the information before it is transmitted. This transformation can be performed by several techniques. One of the newest of these techniques is the use of wavelets. Wavelet transformation refers to the act of breaking down a signal into components called details and trends by using small waveforms that have a zero average in the time domain. After this transformation the data can be compressed by discarding the details, transmitting the trends. In the receiving end, the trends are used to reconstruct the image. In this work, the wavelet used for the transformation of an image will be selected from a library of available bases. The accuracy of the reconstruction, after the details are discarded, is dependent on the wavelets chosen from the wavelet basis library. The system developed in this thesis takes a 2-D image and decomposes it using a wavelet bank. A digital signal processor is used to achieve near real-time performance in this transformation task. A contribution of this thesis project is the development of DSP-based test bed for the future development of new real-time wavelet transformation algorithms.
Identifier
FI13101575
Recommended Citation
Alfonso, Ovidio, "Digital signal processing implementation for near real-time wavelet transformation system for binary images" (2000). FIU Electronic Theses and Dissertations. 1065.
https://digitalcommons.fiu.edu/etd/1065
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