|
1. |
Bayesian estimation of subpixel-resolution motion fields and high-resolution video stills
Schultz, R.R.; Stevenson, R.L.;
Image Processing, 1997. Proceedings., International Conference on
Volume 3,
26-29 Oct. 1997
Page(s):62
-
65 vol.3
Abstract:
Multiframe resolution enhancement methods are used to estimate a high-resolution video still (HRVS) from several low-resolution image sequence frames, provided that objects within the video sequence move with subpixel increments. Estimating accurate subpixel-resolution motion vectors is a challenging, albeit critically important component of super-resolution enhancement algorithms. A Bayesian motion estimation technique is proposed which models the motion field with a discontinuity-preserving prior. The method is related to Horn-Schunck (1981) optical flow estimation, except that the discontinuity-preserving prior can allow abrupt changes within the motion field without the use of line processes. Simulations compare the high-resolution video stills which result from using the subpixel motion vectors calculated by block matching and the proposed Bayesian motion estimation technique
|
Cart
