Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Medical image compression using the characteristics of human visual system

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)
Youngjoon Chee ; Dept. of Biomed. Eng., Seoul Nat. Univ., South Korea ; Kwangsuk Park

In image compression, we must adopt the proper distortion measure. But the MSE (Mean Square Error) is used in almost every algorithm without any consideration. To evaluate the distortion perceived by HVS (human visual system) and use it as a performance index for image compression, the distortion measure that reflects the characteristics of perceptive HVS should be considered. In such a point of view, we proposed the multi-stage hybrid block coding scheme using JND (Just Noticeable Difference) curve, polynomial approximation and BTC (Block Truncation Coding). Results show that this method can be applied to several kinds of medical images with the compression ratio of 5-10:1 without any noticeable distortion

Published in:

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Date of Conference:

3-6 Nov 1994