Masters Theses

Abstract

"This work investigates the possibility of improving the compression efficiency of the JPEG Still Image Data Compression Standard by varying the quantization matrix with minimal loss of image quality. The quantization matrix is empirically developed based on human visual perception and the transform used for compression. Certain applications with low-resolution requirements may utilize such a variation of JPEG so that storage space is saved.

The wavelet transform incorporates quite a few features that make image compression efficient. An attempt is made to replace the existing Discrete Cosine Transform with the wavelet transform in the JPEG standard and a performance analysis is made"--Abstract, page iii.

Advisor(s)

Stigall, Paul D.

Committee Member(s)

McCracken, Theodore E.
Nystrom, Halvard

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 2000

Pagination

viii, 72 pages

Note about bibliography

Includes bibliographical references (page 71).

Rights

© 2000 Avinash Ravindranathan, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Thesis Number

T 7803

Print OCLC #

45686782

Link to Catalog Record

Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.

http://laurel.lso.missouri.edu/record=b4498019~S5

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