DocumentCode
1897352
Title
Wavelet based compression of digital mammograms
Author
Voukelatos, Stathis P. ; Soraghan, John J.
Author_Institution
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
fYear
1996
fDate
35151
Firstpage
42614
Lastpage
42619
Abstract
Presents the application of a novel wavelet based still image codec to the compression of digital mammograms. An adaptive vector quantisation scheme has been developed for the quantization of the wavelet coefficients. The available bit budget is optimally distributed among the subbands and noise shaping is performed according to the characteristics of the human visual system. The ability of the proposed system for progressive transmission of images is demonstrated. Progressive transmission is important in image browsing applications where it is desirable to allow the receiver to access a recognizable image as quickly as possible at minimum cost. Then, it can be decided whether to receive further image details or abort transmission
Keywords
codecs; diagnostic radiography; image coding; medical image processing; vector quantisation; wavelet transforms; available bit budget; breast cancer detection; digital mammograms; human visual system characteristics; image browsing; image details; medical diagnostic imaging; noise shaping; progressive transmission; recognizable image; subbands; wavelet-based compression; wavelet-based still image codec;
fLanguage
English
Publisher
iet
Conference_Titel
Digital Mammography, IEE Colloquium on
Conference_Location
London
Type
conf
DOI
10.1049/ic:19960492
Filename
543477
Link To Document