Share Email Print

Proceedings Paper

Block-matching subpixel motion estimation from noisy undersampled frames: an empirical performance evaluation
Author(s): Sean Borman; Mark A. Robertson; Robert L. Stevenson
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The performance of block-matching sub-pixel motion estimation algorithms under the adverse conditions of image undersampling and additive noise is studied empirically. This study is motivated by the requirement for reliable sub-pixel accuracy motion estimates for motion compensated observation models used in multi-frame super-resolution image reconstruction. Idealized test functions which include translational scene motion are defined. These functions are sub-sampled and corrupted with additive noise and used as source data for various block-matching sub-pixel motion estimation techniques. Motion estimates computed from this data are compared with the a-priori known motion which enables an assessment of the performance of the motion estimators considered.

Paper Details

Date Published: 28 December 1998
PDF: 10 pages
Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); doi: 10.1117/12.334654
Show Author Affiliations
Sean Borman, Univ. of Notre Dame (United States)
Mark A. Robertson, Univ. of Notre Dame (United States)
Robert L. Stevenson, Univ. of Notre Dame (United States)

Published in SPIE Proceedings Vol. 3653:
Visual Communications and Image Processing '99
Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top