Distortion identification technique in video stabilization

Author

Liu, Yan ; Zou, Mouyan

Author_Institution

Chinese Acad. of Sci., Grad. Univ., Beijing

fYear

2009

Firstpage

1

Lastpage

2

Abstract

For non-stationary displacement sequence of the real-world image sequence, this paper presents a distortion identification technique based on Hilbert Huang Transform (HHT) to identify the distortion model and distortion frequency of the displacement sequence. Experiment results show that this technique can identify the distortion model and distortion frequency of the displacement sequence accurately and quickly. Based on these identification results, we can realize the video stabilization effectively.

Keywords

Hilbert transforms; distortion; image sequences; motion compensation; video signal processing; Hilbert Huang transform; distortion frequency; distortion identification technique; motion compensation; nonstationary displacement sequence; real-world image sequence; video stabilization; Digital filters; Distortion; Filtering; Frequency estimation; Image sequences; Jitter; Signal analysis; Signal processing; Smoothing methods; Time frequency analysis; Distortion frequency identification; Distortion model identification; Hilbert Huang Transform; Image sequence distortion; Video Stabilization;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, 2009. ICCE '09. Digest of Technical Papers International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4244-4701-5

Electronic_ISBN

978-1-4244-2559-4

Type

conf

DOI

10.1109/ICCE.2009.5012178

Filename

5012178