Publication Date

1990

Document Type

Dissertation/Thesis

First Advisor

Newell, Darrell E.

Degree Name

M.S. (Master of Science)

Department

Department of Electrical Engineering

LCSH

Computer architecture||Image processing--Digital techniques

Abstract

It is well known that because of the large amount of data involved, the execution of image-processing algorithms consume a considerable amount of processing time. Hence, image-processing applications utilize hybrid systems composed of array processors for speed enhancement coupled with high-speed computers for flexibility. The processing-time problem becomes even more acute when the image has to go through several preprocessing stages before the final processing can be done. The main objective of the work presented in this thesis was to try and speed up several specific adaptive algorithms and transforms which are generally used in the preprocessing stages of image-processing applications. The speedup of these algorithms was achieved by implementing them in parallel on Tightly Coupled multiple Digital Signal Processor (DSP) architectures. The final objective of this work was to develop generalized parallel DSP architectural setups which could be interfaced to an existing image-processing system, the FG-100-AT, and implement a specific class of image-processing algorithms (adaptive / frequency transforms / adaptive+frequency transforms). In the subsequent chapters, the architectural setup for adaptive (one-dimensional and two-dimensional) image-processing, the architectural setups for transform domain image processing, and the generalized setup for both these classes are discussed. The adaptive LMS and the two-dimensional Hartley Transform is implemented in parallel on these architectural setups. The effectiveness of these setups is depicted with the help of speedup and Processor Utilization Curves.

Comments

Includes bibliographical references (pages [65]-66)

Extent

ix, 77 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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