Ultrasound grayscale image compression with JPEG and wavelet techniques

Kenneth R. Persons; Patrice M. Palisson; Armando Manduca; William J. Charboneau; E. Meredith James; Nicholas T. Charboneau; Nicholas J. Hangiandreou; Bradley J. Erickson

doi:10.1007/BF03168337

Ultrasound grayscale image compression with JPEG and wavelet techniques

Kenneth R. Persons, Patrice M. Palisson, Armando Manduca, William J. Charboneau, E. Meredith James, Nicholas T. Charboneau, Nicholas J. Hangiandreou, Bradley J. Erickson

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

12 Scopus citations

Abstract

The purpose of the study was to evaluate the effects of lossy compression on grayscale ultrasound images to determine how much compression can be applied while still maintaining images that are acceptable for diagnostic purposes. The study considered how the acquisition technique (video frame-grabber versus directly acquired in digital form) influences how much compression can be applied. For directly acquired digital images, the study considered how text (that is burned into the image) affects the compressibility of the image. The lossy compression techniques that were considered include JPEG and a Wavelet algorithm using set partitioning in hierarchical trees (SPIHT).

Original language	English (US)
Pages (from-to)	25-32
Number of pages	8
Journal	Journal of Digital Imaging
Volume	13
Issue number	1
DOIs	https://doi.org/10.1007/BF03168337
State	Published - 2000

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Computer Science Applications

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abstract = "The purpose of the study was to evaluate the effects of lossy compression on grayscale ultrasound images to determine how much compression can be applied while still maintaining images that are acceptable for diagnostic purposes. The study considered how the acquisition technique (video frame-grabber versus directly acquired in digital form) influences how much compression can be applied. For directly acquired digital images, the study considered how text (that is burned into the image) affects the compressibility of the image. The lossy compression techniques that were considered include JPEG and a Wavelet algorithm using set partitioning in hierarchical trees (SPIHT).",

author = "Persons, {Kenneth R.} and Palisson, {Patrice M.} and Armando Manduca and Charboneau, {William J.} and {Meredith James}, E. and Charboneau, {Nicholas T.} and Hangiandreou, {Nicholas J.} and Erickson, {Bradley J.}",

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AU - Palisson, Patrice M.

AU - Manduca, Armando

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AU - Meredith James, E.

AU - Charboneau, Nicholas T.

AU - Hangiandreou, Nicholas J.

AU - Erickson, Bradley J.

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AB - The purpose of the study was to evaluate the effects of lossy compression on grayscale ultrasound images to determine how much compression can be applied while still maintaining images that are acceptable for diagnostic purposes. The study considered how the acquisition technique (video frame-grabber versus directly acquired in digital form) influences how much compression can be applied. For directly acquired digital images, the study considered how text (that is burned into the image) affects the compressibility of the image. The lossy compression techniques that were considered include JPEG and a Wavelet algorithm using set partitioning in hierarchical trees (SPIHT).

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Ultrasound grayscale image compression with JPEG and wavelet techniques

Abstract

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