MR image compression using iterated function systems

Dan C. Popescu; Hong Yan

doi:10.1016/0730-725X(93)90015-6

MR image compression using iterated function systems

Dan C. Popescu, Hong Yan

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

7 Citations (Scopus)

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.

Original language	English
Pages (from-to)	727-732
Journal	Magnetic Resonance Imaging
Volume	11
Issue number	5
DOIs	https://doi.org/10.1016/0730-725X(93)90015-6
Publication status	Published - 1993
Externally published	Yes

Research Keywords

Data compression
Fractals
Iterated function systems
MR imaging

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10.1016/0730-725X(93)90015-6

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title = "MR image compression using iterated function systems",

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. {\textcopyright} 1993.",

keywords = "Data compression, Fractals, Iterated function systems, MR imaging",

author = "Popescu, {Dan C.} and Hong Yan",

year = "1993",

doi = "10.1016/0730-725X(93)90015-6",

language = "English",

volume = "11",

pages = "727--732",

journal = "Magnetic Resonance Imaging",

issn = "0730-725X",

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TY - JOUR

T1 - MR image compression using iterated function systems

AU - Popescu, Dan C.

AU - Yan, Hong

PY - 1993

Y1 - 1993

N2 - 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.

AB - 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.

KW - Data compression

KW - Fractals

KW - Iterated function systems

KW - MR imaging

UR - http://www.scopus.com/inward/record.url?scp=0027197955&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0027197955&origin=recordpage

U2 - 10.1016/0730-725X(93)90015-6

DO - 10.1016/0730-725X(93)90015-6

M3 - RGC 21 - Publication in refereed journal

C2 - 8345787

SN - 0730-725X

VL - 11

SP - 727

EP - 732

JO - Magnetic Resonance Imaging

JF - Magnetic Resonance Imaging

IS - 5

ER -

MR image compression using iterated function systems

Abstract

Research Keywords

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