A comparison of some of the most current methods of image compression
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Authors
Kay, Robert T.
Subjects
Fractal image compression
JPEG image compression
JPEG image compression
Advisors
Pieper, Ronald J.
Date of Issue
1993-06
Date
June 1993
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
In this report, commonly used lossless and lossy image compression algorithms are heuristically presented and then compared in terms of performance. The lossy algorithms, JPEG (Joint Photographic Experts Group) and Fractal compression, are compared in terms of their respective sensitivities between compression ratio and image fidelity. Compression algorithms based on the lossless models of Huffman, Adaptive Huffman, and Arithmetic coding are compared in terms of compression ratio and compression/decompression time requirements. High fidelity image reconstructions of JPEG and Fractal compressions are also included in the comparison. Results, for the images tested, indicate that if imperceptible losses in fidelity can be tolerated, then among the current versions of the algorithms tested, the JPEG results in higher compression with less process time.
Type
Thesis
Description
Series/Report No
Department
Department of Electrical and Computer Engineering
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
80 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.