Open AccessObserver performance for JPEG vs Wavelet image compression of x-ray coronary angiograms
Author(s) -
Craig A. Morioka,
Miguel P. Eckstein,
Jay Bartroff,
Jöerg Hausleiter,
Gal Aharanov,
James S. Whiting
Publication year - 1999
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.5.000008
Subject(s) - lossy compression , jpeg , computer science , artificial intelligence , wavelet , computer vision , observer (physics) , image compression , data compression , compression (physics) , jpeg 2000 , wavelet transform , compression ratio , image processing , radiology , medicine , image (mathematics) , materials science , physics , composite material , quantum mechanics , internal combustion engine , thermodynamics
Development of "filmless" cardiac catheterization laboratories is eminent. The problems of implementing a digital catheterization laboratory involve archiving large amounts of data per procedure and high transfer rates to retrieve previous procedures. Lossy compression can ccommodate these changes, but at the cost of possibly impairing detection of clinically important angiographic features. Our study involves the observer detection and classification of features in clinical images and the effects that JPEG and wavelet compression have on the detectability of these features. We found no significant degradation in human observer performance with 7:1 and 15:1 JPEG compressed images in 6 clinically relevant visual tasks. Human observer performance for wavelet compression degraded significantly for 2 out of 6 tasks at 7:1 compression and 4 out of 6 tasks at 19:1 compression.