By Topic

Foveated image formation through compressive sensing

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
$33 $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)
Ronald Larcom ; 21st Century Technologies, Austin, TX, USA ; Thayne R. Coffman

We describe two methods by which foveated (variable resolution) images can be created using the techniques of compressive sensing (CS). Foveated sampling (FS) combines a linear shift-variant foveation filter with the CS measurement operator. Foveated sampling and reconstruction (FSR) combines the foveation filter with the CS measurement operator and also with the sparse signal estimation algorithm used to reconstruct images. Both methods are shown to provide accurate reconstruction of foveated images at much higher compression levels than uniform resolution CS.

Published in:

Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on

Date of Conference:

23-25 May 2010