Super resolution using variable size block-matching motion estimation with rotation

Author

Anagun, Y. ; Seke, Erol

Author_Institution

Comput. Eng. Dept., Eskisehir Osmangazi Univ., Eskişehir, Turkey

fYear

2012

fDate

2-4 July 2012

Firstpage

1

Lastpage

5

Abstract

Motion estimation (ME) for image sequences is one of the important processes in image restoration. Block matching algorithms can be used for local ME. Recently, the variable block size motion estimation (VBS-ME) has been received attention in order to improve the performance of the block matching algorithms. In this paper, we have evaluated variable-sized-block-matching ME with rotation in the registration step. Results of proposed method are compared with exhaustive search (ES) that does not consider rotation and static block size (BS) angle search (AS) that considers rotation. Both peak-signal-to-noise-ratio (psnr) and visual quality are used in comparison of all three methods.

Keywords

image matching; image resolution; image restoration; image sequences; motion estimation; search problems; PSNR; angle search; block matching algorithms; exhaustive search; image restoration; image sequences; local ME; peak-signal-to-noise-ratio; rotation block size; static block size; super resolution; variable size block-matching motion estimation; visual quality; Image reconstruction; Interpolation; Motion estimation; Signal resolution; Spatial resolution; Strontium; Angle Search; Block Motion Estimation; Exhaustive Search; Registration;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on

Conference_Location

Trabzon

Print_ISBN

978-1-4673-1446-6

Type

conf

DOI

10.1109/INISTA.2012.6247017

Filename

6247017