Super resolution based on simultaneous registration and reconstruction

Author

Zhi, Yuan ; Peimin, Yan ; Sheng, Li ; Juxia, Shen ; Yuhui, Huang

Author_Institution

Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai

fYear

2008

fDate

17-20 Dec. 2008

Firstpage

1089

Lastpage

1092

Abstract

The progress of super-resolution usually involves computing the parameters (e.g. the registration and blur parameters) of a generating imaging model, and obtaining an estimated SR image by minimizing a cost function. In this paper, a high-resolution image, the registration parameters and PSF width will be optimized simultaneously using scaled conjugate gradient. A pre-registration method is introduced to ensure convergence and save time. The experiment results show that this method is valid.

Keywords

conjugate gradient methods; convergence of numerical methods; image reconstruction; image registration; image resolution; minimisation; convergence; cost function minimization; point spread function; registration parameter; scaled conjugate gradient; super-resolution image reconstruction; Automatic generation control; Communication system control; Cost function; High-resolution imaging; Image reconstruction; Image resolution; Linear systems; Robot control; Robotics and automation; Strontium; conjugate gradient; reconstruction; registration; super-resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on

Conference_Location

Hanoi

Print_ISBN

978-1-4244-2286-9

Electronic_ISBN

978-1-4244-2287-6

Type

conf

DOI

10.1109/ICARCV.2008.4795671

Filename

4795671