Single-image super-resolution using low complexity adaptive iterative back-projection

Author

Georgis, Georgios ; Lentaris, George ; Reisis, Dionysios

Author_Institution

Electron. Lab., Nat. & Kapodistrian Univ. of Athens, Athens, Greece

fYear

2013

fDate

1-3 July 2013

Firstpage

1

Lastpage

6

Abstract

The current paper focuses on single-image super-resolution algorithms aiming at increasing the spatial resolution of images and video sequences. We achieve this goal by decreasing the complexity of the reconstruction process, combining common filtering methods and introducing adaptive error back-projection throughout an iterative back-projection framework. We compare our scheme with common interpolation algorithms and other single-image super-resolution techniques. The results of this work can be used to improve the performance of space and resource-limited implementations.

Keywords

filtering theory; image reconstruction; image resolution; image sequences; interpolation; iterative methods; adaptive error back projection; common filtering method; common interpolation algorithm; image reconstruction process; image sequences; iterative back projection; low complexity adaptive back projection; single image super resolution; spatial image resolution; video sequences; Complexity theory; Image edge detection; Image reconstruction; Image resolution; Interpolation; Kernel; PSNR;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing (DSP), 2013 18th International Conference on

Conference_Location

Fira

ISSN

1546-1874

Type

conf

DOI

10.1109/ICDSP.2013.6622833

Filename

6622833