An Iterative Super-Resolution Reconstruction of Image Sequences using Fast Affine Block-Based Registration with BTV Regularization

Author

Patanavijit, V. ; Jitapunkul, S.

Author_Institution

Dept. of Comput. Eng., Assumption Univ., Bangkok

fYear

2006

fDate

4-7 Dec. 2006

Firstpage

1717

Lastpage

1720

Abstract

Super-resolution reconstruction (SRR) aims to produces one or a set of high-resolution (HR) images from a sequence of low-resolution (LR) images. Due to translational registration, super-resolution reconstruction can apply only on the sequences that have simple translation motion. This paper proposed a novel super-resolution reconstruction that that can apply on real sequences or complex motion sequences. The proposed SRR uses a high accuracy registration algorithm, the fast affine block-based registration, in the maximum likelihood framework. Moreover, the BTV (bi-total variance) regularization is used to compensate the missing measurement information. The experimental results show that the proposed reconstruction can apply on real sequence such as Suzie

Keywords

image reconstruction; image registration; image resolution; image sequences; BTV regularization; bi-total variance; fast affine block-based registration; image sequences; maximum likelihood framework; motion sequences; super-resolution reconstruction; translation motion; translational registration; Image reconstruction; Image resolution; Image restoration; Image sequences; Laplace equations; Maximum likelihood detection; Maximum likelihood estimation; Motion detection; Motion estimation; Motion measurement; BTV (Bi-Total Variance) Regularization; Fast Affine Block-Based Registration; IAD (Image Absoluted Difference); Regularized ML; SRR (Super-Resolution Reconstruction); styling;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0387-1

Type

conf

DOI

10.1109/APCCAS.2006.342128

Filename

4145742