Mammogram JPEG quantisation matrix optimisation for PACS

D. Campbell, A. Maeder, F. Tapia-Vergara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Clinical procedures and legal requirements increasingly demand greater performance in JPEG compression of digitised grayscale medical images without loss of visual fidelity or without exceeding a bounded error metric. Current JPEG common practice uses a default general-purpose luminance quantisation matrix. As an initial investigation into defining more suitable quantisation matrices for different medical image modalities, a new candidate matrix has been derived for mammograms. For a given SNR, the new quantisation matrix achieves a relative compression ratio performance improvement of approximately 22% for a quality factor of 95% and 15% for a quality factor of 85%. This study paves the way for a computationally intelligent approach to optimising the quantisation matrix for each medical image modality in both batch mode and adaptively on an image-by-image basis.

Original languageEnglish
Title of host publicationANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)1740520610, 9781740520614
DOIs
Publication statusPublished - Dec 2001
Externally publishedYes
Event7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001 - Perth, Australia
Duration: 18 Nov 200121 Nov 2001

Publication series

NameANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference

Conference

Conference7th Australian and New Zealand Intelligent Information Systems Conference, ANZIIS 2001
CountryAustralia
CityPerth
Period18/11/0121/11/01

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