Literature DB >> 10696598

Ultrasound grayscale image compression with JPEG and wavelet techniques.

K R Persons1, P M Palisson, A Manduca, W J Charboneau, E M James, N T Charboneau, N J Hangiandreou, B J Erickson.   

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).

Mesh:

Year:  2000        PMID: 10696598      PMCID: PMC3453433          DOI: 10.1007/bf03168337

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  3 in total

1.  Wavelet filter evaluation for image compression.

Authors:  J D Villasenor; B Belzer; J Liao
Journal:  IEEE Trans Image Process       Date:  1995       Impact factor: 10.856

Review 2.  Wavelet compression of medical images.

Authors:  B J Erickson; A Manduca; P Palisson; K R Persons; F Earnest; V Savcenko; N J Hangiandreou
Journal:  Radiology       Date:  1998-03       Impact factor: 11.105

3.  An analytical look at the effects of compression on medical images.

Authors:  K Persons; P Palisson; A Manduca; B J Erickson; V Savcenko
Journal:  J Digit Imaging       Date:  1997-08       Impact factor: 4.056

  3 in total

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