By Topic

Subband coding of radiographic image sequence using a neural network approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Park, S.H. ; Dept. of Electr. Eng., Yonsei Univ., Seoul, South Korea ; Han, Y.O.

One important class of radiographic image sequences is angiography. If these image sequences are to be stored and transmitted in PACS they need to be compressed using a proper coding technique. Here, a subband coding technique for radiographic image sequences is presented. This coding technique can be used at transmission rates from 64 Kb/s to 5.625 Mb/s and well preserves the edges in angiography. In particular, the proposed predictor can predict upper band-to-band, thus preserving the edges. This property is important with respect to the human visual system and the diagnosis

Published in:

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference  (Volume:1 )

Date of Conference:

20-25 Sep 1995