Vector quality measure of lossy compressed medical images

Computers in Biology and Medicine

Volumn 34, Issue 3, 2004, Pages 193-207

  Przelaskowski, Artur ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Diagnostic accuracy; Lossy image compression; Quality measures; Subjective rating

Indexed keywords

IMAGE QUALITY; MAMMOGRAPHY; VECTORS; DIAGNOSIS; IMAGE COMPRESSION; RADIOLOGY;

DIGITAL MAMMOGRAMS; LOSSY COMPRESSED MEDICAL IMAGES;

MEDICAL IMAGING;

ARTICLE; CORRELATION COEFFICIENT; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; IMAGE QUALITY; MAMMOGRAPHY; PREDICTION; PRIORITY JOURNAL; RADIOLOGIST; DIGITALIZATION; DISEASE CLASSIFICATION; IMAGE ANALYSIS; IMAGE PROCESSING; MATHEMATICAL ANALYSIS; MEASUREMENT;

IMAGE FEATURES; VECTOR QUALITY;

DATA COMPRESSION; MAMMOGRAPHY; OBSERVER VARIATION; PILOT PROJECTS;

EID: 16544382954     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4825(03)00058-1     Document Type: Article

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14. Przelaskowski A. Details preserved wavelet-based compression with adaptive context-based quantisation. Fund. Inform. 34(4):1998;369-388 Artur Przelaskowski received his MS and Ph.D. degrees in electronics from Warsaw University of Technology, in 1990 and 1995, respectively. He is an assistant professor at Warsaw University of Technology, in the Image Processing and Pattern Recognition Group. His research interests include digital image processing, pattern recognition, medical image reconstruction techniques, data approximation and interpolation, data compression, image quality evaluation, and stochastic modeling of medical images. The main topics of recent interests are the effective medical image compression methods, in both reversible and lossy cases, wavelet-based image characteristics and numerical approximation of diagnostic accuracy of processed image exams.