By Topic

Semicausal recursive filtering of images

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

1 Author(s)
Jain, A.K. ; State University of New York at Buffalo, Amherst, New York

A two dimensional discrete stochastic model for representing images is developed. This representation leads to a "hybrid" algorithm for spatial filtering of images. A "hybrid" algorithm is one where the filter equations are solved in a transform domain in one direction and in spatial domain in the other. Application of the model to linear filtering of images leads to scalar recursive filtering equations requiring only O(N2log2N) computations for N??N images. Examples on a 255 ?? 255 image are given.

Published in:

Decision and Control including the 14th Symposium on Adaptive Processes, 1975 IEEE Conference on

Date of Conference:

10-12 Dec. 1975