Share Email Print

Proceedings Paper

Large-scale implementation of optimal image compression algorithms
Author(s): Helen Chou; Feng Chen; Daniel J. Valentino; Lu J. Huang; John D. Villasenor
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Despite over a decade of research and development, medical image compression has not yet been widely implemented on clinical picture archiving and communication systems (PACS). We have developed a prototype interface which incorporates both lossless and lossy compression into a browsing system that enables the efficient use of network and storage resources. Such a system allows a user to quickly browse through a large set of image icons created from lossy compression and selectively retrieve the original images for diagnosis from the optical disk that contains losslessly compressed image data. For lossless compression, we implemented modality specific techniques which combines preprocessing, adaptive prediction and entropy coding, giving a compression improvement of 20% over JPEG predictors. The lossy compression algorithm consists of subsampling followed by wavelet transform coding and achieves compressed CR images of sufficient quality for browsing at a compression ratio of about 2000:1.

Paper Details

Date Published: 27 April 1995
PDF: 9 pages
Proc. SPIE 2431, Medical Imaging 1995: Image Display, (27 April 1995); doi: 10.1117/12.207617
Show Author Affiliations
Helen Chou, Univ. of California/Los Angeles (United States)
Feng Chen, Univ. of California/Los Angeles (United States)
Daniel J. Valentino, Univ. of California/Los Angeles (United States)
Lu J. Huang, Univ. of California/Los Angeles (United States)
John D. Villasenor, Univ. of California/Los Angeles (United States)

Published in SPIE Proceedings Vol. 2431:
Medical Imaging 1995: Image Display
Yongmin Kim, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?