Construction of optimal wavelet basis for medical images

Rahman Tashakkori; John M. Tyler; Oleg S. Pianykh

doi:10.1117/12.342925

22 March 1999 Construction of optimal wavelet basis for medical images

Rahman Tashakkori, John M. Tyler, Oleg S. Pianykh

Proceedings Volume 3723, Wavelet Applications VI; (1999) https://doi.org/10.1117/12.342925
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

A major problem associated with a `film-less hospital' is the amount of digital image data that is generated and stored. Image compression must be used to reduce the storage size. Most current image compression methods were developed for the compression of single images. A new compression that uses similar image set redundancy and minimal numbers of orthogonal features can be used to efficiently compress medical images. As presented in this paper, wavelet analysis, principal component analysis, and statistical recrimination can be successfully used to optimally denote image differences and achieve efficient similar set image compression for medical images.

Citation Download Citation

Rahman Tashakkori, John M. Tyler, and Oleg S. Pianykh "Construction of optimal wavelet basis for medical images", Proc. SPIE 3723, Wavelet Applications VI, (22 March 1999); https://doi.org/10.1117/12.342925

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available