Adaptive motion-compensated filtering of noisy image sequences

1993 ◽  
Vol 3 (4) ◽  
pp. 277-290 ◽  
Author(s):  
M.K. Ozkan ◽  
M.I. Sezan ◽  
A.M. Tekalp
Keyword(s):  
Image Sequences ◽  
Noisy Image ◽  
Adaptive Motion

scholarly journals Random projections and Hotelling’s T2 statistics for change detection in high-dimensional data streams

2013 ◽  
Vol 23 (2) ◽  
pp. 447-461 ◽  
Author(s):  
Ewa Skubalska-Rafajłowicz
Keyword(s):  
Discrete Time ◽  
Data Streams ◽  
Random Projection ◽  
Image Sequences ◽  
High Dimensional ◽  
Random Projections ◽  
Random Subspace ◽  
Noisy Image ◽  
Method Of Dimensionality Reduction ◽  
Diagnostic Properties

The method of change (or anomaly) detection in high-dimensional discrete-time processes using a multivariate Hotelling chart is presented. We use normal random projections as a method of dimensionality reduction. We indicate diagnostic properties of the Hotelling control chart applied to data projected onto a random subspace of Rn. We examine the random projection method using artificial noisy image sequences as examples.

Motion-compensated filtering of noisy image sequences

1994 ◽  
pp. 75-86
Author(s):  
Richard P. Kleihorst ◽  
Jan Biemond ◽  
Reginald L. Lagendijk
Keyword(s):  
Image Sequences ◽  
Noisy Image

HOS-based method of global motion estimation for noisy image sequences

1999 ◽  
Vol 35 (16) ◽  
pp. 1320 ◽  
Author(s):  
E. Ibn-elhaj ◽  
D. Aboutajdine ◽  
S. Pateux ◽  
L. Morin
Keyword(s):  
Motion Estimation ◽  
Image Sequences ◽  
Noisy Image ◽  
Global Motion ◽  
Global Motion Estimation
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