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Titolo:
FRACTAL VOLUME COMPRESSION
Autore:
COCHRAN WO; HART JC; FLYNN PJ;
Indirizzi:
WASHINGTON STATE UNIV,SCH ELECT ENGN & COMP SCI PULLMAN WA 99164
Titolo Testata:
IEEE transactions on visualization and computer graphics
fascicolo: 4, volume: 2, anno: 1996,
pagine: 313 - 322
SICI:
1077-2626(1996)2:4<313:FVC>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Soggetto:
ITERATED FUNCTION SYSTEMS;
Keywords:
DATA COMPRESSION; FRACTAL; ITERATED FUNCTION SYSTEM; VOLUME VISUALIZATION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
38
Recensione:
Indirizzi per estratti:
Citazione:
W.O. Cochran et al., "FRACTAL VOLUME COMPRESSION", IEEE transactions on visualization and computer graphics, 2(4), 1996, pp. 313-322

Abstract

This research explores the principles; implementation, and optimization of a competitive Volume compression system based on fractal image compression. The extension of fractal image compression to volumetric data is trivial in theory. However, the simple addition of a dimension to existing fractal image compression algorithms results in infeasiblecompression times and noncompetitive volume compression results. Thispaper extends several fractal image compression enhancements to perform properly and efficiently on Volumetric data, and introduces a new So edge classification scheme based on principal component analysis. Numerous experiments over the many parameters of fractal volume compression suggest aggressive settings of its system parameters. At this peakefficiency, fractal volume compression surpasses Vector quantization and approaches within 1 dB PSNR of the discrete cosine transform. Whencompared to the DCT, fractal Volume compression represents surfaces in volumes exceptionally well at high compression rates, and the artifacts of its compression error appear as noise instead of deceptive smoothing or distracting ringing.

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Documento generato il 30/03/20 alle ore 11:44:00