File:A comparison of some of the most current methods of image compression (IA acomparisonofsom1094539798).pdf

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Original file(1,275 × 1,650 pixels, file size: 2.77 MB, MIME type: application/pdf, 86 pages)

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Summary[edit]

A comparison of some of the most current methods of image compression   (Wikidata search (Cirrus search) Wikidata query (SPARQL)  Create new Wikidata item based on this file)
Author
Kay, Robert T.
Title
A comparison of some of the most current methods of image compression
Publisher
Monterey, California. Naval Postgraduate School
Description

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.


Subjects: Fractal image compression; JPEG image compression
Language English
Publication date June 1993
publication_date QS:P577,+1993-06-00T00:00:00Z/10
Current location
IA Collections: navalpostgraduateschoollibrary; fedlink
Accession number
acomparisonofsom1094539798
Source
Internet Archive identifier: acomparisonofsom1094539798
https://archive.org/download/acomparisonofsom1094539798/acomparisonofsom1094539798.pdf
Permission
(Reusing this file)
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.

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Public domain
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Date/TimeThumbnailDimensionsUserComment
current21:48, 13 July 2020Thumbnail for version as of 21:48, 13 July 20201,275 × 1,650, 86 pages (2.77 MB) (talk | contribs)FEDLINK - United States Federal Collection acomparisonofsom1094539798 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #5240)

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