DocumentCode
2398350
Title
Super-resolution from image sequence under influence of hot-air optical turbulence
Author
Shimizu, Masao ; Yoshimura, Shin ; Tanaka, Masayuki ; Okutomi, Masatoshi
Author_Institution
Tokyo Inst. of Technol., Tokyo
fYear
2008
fDate
23-28 June 2008
Firstpage
1
Lastpage
8
Abstract
The appearance of a distant object, when viewed through a telephoto-lens, is often deformed nonuniformly by the influence of hot-air optical turbulence. The deformation is unsteady: an image sequence can include nonuniform movement of the object even if a stationary camera is used for a static object. This study proposes a multi-frame super-resolution reconstruction from such an image sequence. The process consists of the following three stages. In the first stage, an image frame without deformation is estimated from the sequence. However, there is little detailed information about the object. In the second stage, each frame in the sequence is aligned non-rigidly to the estimated image using a non-rigid deformation model. A stable non-rigid registration technique with a B-spline function is also proposed in this study for dealing with a textureless region. In the third stage, a multi-frame super-resolution reconstruction using the non-rigid deformation recovers the detailed information in the frame obtained in the first stage. Experiments using synthetic images demonstrate the accuracy and stability of the proposed non-rigid registration technique. Furthermore, experiments using real sequences underscore the effectiveness of the proposed process.
Keywords
image reconstruction; image registration; image resolution; image sequences; splines (mathematics); B-spline function; hot-air optical turbulence; image reconstruction; image resolution; image sequence; nonrigid registration; telephoto-lens; Biomedical optical imaging; Cameras; Deformable models; Image reconstruction; Image resolution; Image sequences; Optical refraction; Spline; Stability; Temperature distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location
Anchorage, AK
ISSN
1063-6919
Print_ISBN
978-1-4244-2242-5
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2008.4587525
Filename
4587525
Link To Document