Super-resolution image reconstruction for video sequence

Author

Xianghua Hou ; Honghai Liu

Author_Institution

Coll. of Inf. & Eng., Huzhou Teachers Coll., Huzhou, China

Volume

9

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

4600

Lastpage

4602

Abstract

Because of motion, optical and sensor PSF, image resolution is usually not high in video image. To solve this problem this paper firstly proposes a model of image degradation. Then using the continuous frames which is taken from the same scene, it adopts the cubic spline interpolate method for motion compensation. After image registration, we make use of average filter to reconstruct the image. Lastly, we utilize Wiener filtering to eliminate blurring. The result indicates that compared with the original image the reconstructed image resolution is improved obviously.

Keywords

Wiener filters; image enhancement; image registration; image resolution; image restoration; image sensors; image sequences; interpolation; motion compensation; splines (mathematics); Wiener filtering; cubic spline interpolate method; image blurring elimination; image degradation model; image registration; motion compensation; sensor PSF; super-resolution image reconstruction; video sequence; Image reconstruction; Image resolution; Interpolation; Maximum likelihood detection; Signal resolution; Strontium; Wiener filter; image registration(IR); interpolation; super resolution(SR); wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023124

Filename

6023124