By Topic

Robust B-spline image modeling with application to image processing

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)
Karczewicz, M. ; Nokia Res. Center, Tampere, Finland ; Gabbouj, M.

We present a new approach to two-dimensional (2-D) robust spline image smoothing based on the M-estimator algorithm. Unlike in other M-estimator based image processing algorithms, the new algorithm takes into consideration the spatial relations between picture elements. The contribution of the sample to the model depends not only on the current residual of that sample, but also on the neighboring residuals. A smoothing parameter is estimated separately for each processing window and it adapts to the local structure of the image. The proposed algorithm is applied to image filtering. The resulting filter preserves details and suppresses additive Gaussian and impulsive noise efficiently

Published in:

Image Processing, IEEE Transactions on  (Volume:7 ,  Issue: 6 )