Radon transform and bandwidth compression

Warren E. Smith; Harrison H. Barrett

doi:10.1364/OL.8.000395

Radon transform and bandwidth compression

Warren E. Smith, Harrison H. Barrett

Medical Imaging

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

A bandwidth-compression scheme for two-dimensional data is presented that incorporates the Radon transform. There are three advantages to this approach: only one-dimensional operations are required, the dynamic range requirements of the compression are reduced by a filtering step associated with the inverse Radon transform, and the technique is readily adaptive to the data structure. A rectilinear object is compressed to demonstrate the algorithm.

Original language	English (US)
Pages (from-to)	395-397
Number of pages	3
Journal	Optics letters
Volume	8
Issue number	7
DOIs	https://doi.org/10.1364/OL.8.000395
State	Published - Jul 1983

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics

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title = "Radon transform and bandwidth compression",

abstract = "A bandwidth-compression scheme for two-dimensional data is presented that incorporates the Radon transform. There are three advantages to this approach: only one-dimensional operations are required, the dynamic range requirements of the compression are reduced by a filtering step associated with the inverse Radon transform, and the technique is readily adaptive to the data structure. A rectilinear object is compressed to demonstrate the algorithm.",

author = "Smith, {Warren E.} and Barrett, {Harrison H.}",

year = "1983",

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AU - Smith, Warren E.

AU - Barrett, Harrison H.

PY - 1983/7

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N2 - A bandwidth-compression scheme for two-dimensional data is presented that incorporates the Radon transform. There are three advantages to this approach: only one-dimensional operations are required, the dynamic range requirements of the compression are reduced by a filtering step associated with the inverse Radon transform, and the technique is readily adaptive to the data structure. A rectilinear object is compressed to demonstrate the algorithm.

AB - A bandwidth-compression scheme for two-dimensional data is presented that incorporates the Radon transform. There are three advantages to this approach: only one-dimensional operations are required, the dynamic range requirements of the compression are reduced by a filtering step associated with the inverse Radon transform, and the technique is readily adaptive to the data structure. A rectilinear object is compressed to demonstrate the algorithm.

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DO - 10.1364/OL.8.000395

M3 - Article

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JO - Optics letters

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Radon transform and bandwidth compression

Abstract

ASJC Scopus subject areas

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