Medical image compression using attention modelling

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

This paper describes the use of a simple model of visual importance in digital images, based on the use of contrast statistics for prediction of areas of detail which influence observer attention, to allow image compression to be undertaken at varying quality within an individual image. The effects of this strategy on expert observer perception of the reconstructed images, based on subjective image quality judgement and analysis of eye-position patterns, are considered by applying the model to sample mammograms, cervical and thoracic X-rays. The results indicate that consistent observer performance can be attained with images compressed in this way, at compression rates in excess of those reported for uniformly compressed images.

Original languageEnglish
Pages (from-to)129-135
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3663
Publication statusPublished - 24 May 1999
Externally publishedYes
EventProceedings of the 1999 Medical Imaging - Image Perception and Performance - San Diego, CA, USA
Duration: 24 Feb 199925 Feb 1999

Fingerprint Dive into the research topics of 'Medical image compression using attention modelling'. Together they form a unique fingerprint.

  • Cite this