Research Article
True-Motion Estimation and Compensation with Multitemporal Block-Matching Search
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 111 - Issue 1 |
| Published: February 2015 |
| Authors: Andre L. Martins, Evandro L.L. Rodrigues, Maria Stela V. Paiva |
10.5120/19501-0667
|
Andre L. Martins, Evandro L.L. Rodrigues, Maria Stela V. Paiva . True-Motion Estimation and Compensation with Multitemporal Block-Matching Search. International Journal of Computer Applications. 111, 1 (February 2015), 16-21. DOI=10.5120/19501-0667
@article{ 10.5120/19501-0667,
author = { Andre L. Martins,Evandro L.L. Rodrigues,Maria Stela V. Paiva },
title = { True-Motion Estimation and Compensation with Multitemporal Block-Matching Search },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 111 },
number = { 1 },
pages = { 16-21 },
doi = { 10.5120/19501-0667 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Andre L. Martins
%A Evandro L.L. Rodrigues
%A Maria Stela V. Paiva
%T True-Motion Estimation and Compensation with Multitemporal Block-Matching Search%T
%J International Journal of Computer Applications
%V 111
%N 1
%P 16-21
%R 10.5120/19501-0667
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Improvements in de-interlacing algorithms are fundamental to explore image quality potential on modern TV screen technologies. This paper presents a true motion vector verification algorithm based on multi temporal block matching strategy, applied to video de-interlacing. During field scanning, a block of pixels is selected, then a block with the same reference coordinates is extracted but in the future field. A searching process runs in the previous field, looking for the most similar block; the best fit block and their coordinates are extracted from the previous field, and a new searching process is done but in the future field. If the searching process in the future field results back to the original block coordinates, the motion vector is validated; in other case, a correction over the motion vectors is done. Error calculation showed that the proposed algorithm presents image quality improvement, when compared to a classical motion compensation algorithm.
References
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