MR image compression using iterated function systems

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)727-732
Journal / PublicationMagnetic Resonance Imaging
Volume11
Issue number5
Publication statusPublished - 1993
Externally publishedYes

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-0027197955&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(f9f9e2f5-585c-40cf-a5a1-55de9c0dc852).html

Abstract

This paper presents a method for MR image compression using iterated function systems based on fractal models. The method makes use of self-similarities of an image and achieves compression by matching similar image blocks. A fast matching procedure is proposed in this paper for efficient image encoding. The method is tested with real MR images. © 1993.

Research Area(s)

  • Data compression, Fractals, Iterated function systems, MR imaging

Fingerprint

Publication fingerprints text

100
Similarities Engineering
100
Fractal Model Engineering
100
Image Block Engineering
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Citation Format(s)

[ RIS ] [ BibTeX ]
MR image compression using iterated function systems. / Popescu, Dan C.; Yan, Hong.
In: Magnetic Resonance Imaging, Vol. 11, No. 5, 1993, p. 727-732.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review