STATISTICAL REGION SELECTION FOR ROBUST IMAGE STABILIZATION USING FEATURE-HISTOGRAM
- Authors
- Lee, Jinhee; Park, Younguk; Lee, Sangkeun; Paik, Joonki
- Issue Date
- Nov-2009
- Publisher
- IEEE
- Keywords
- feature-histogram; motion estimation; sum-absolute-difference (SAD)
- Citation
- 2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, pp 1553 - 1556
- Pages
- 4
- Journal Title
- 2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6
- Start Page
- 1553
- End Page
- 1556
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47770
- DOI
- 10.1109/ICIP.2009.5414541
- ISSN
- 1522-4880
- Abstract
- This paper presents a new robust digital image stabilization system, which involves a practical motion model based on a feature-histogram. The feature-histogram is used for adaptive selection of feasible motion estimation regions. By estimating the representative motion vector in the optimally selected region, the proposed algorithm can robustly remove undesired camera vibration regardless of object's movement. When compared with the traditional methods, experimental results show that the proposed algorithm can improve the performance by 7% with four times faster computation compared with the existing sum-absolute-difference (SAD) based method.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47770)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.