Modified Back Projection Kernel Based Image Super Resolution
| dc.contributor.author | Rasti, Pejman | |
| dc.contributor.author | Lusi, Iiris | |
| dc.contributor.author | Sahakyan, Armen | |
| dc.contributor.author | Traumann, Andres | |
| dc.contributor.author | Bolotnikova, Anastasia | |
| dc.contributor.author | Daneshmand, Morteza | |
| dc.contributor.author | Ozcinar, Cagri | |
| dc.date.accessioned | 2026-02-06T18:17:05Z | |
| dc.date.issued | 2014 | |
| dc.department | Doğu Akdeniz Üniversitesi | |
| dc.description | 2nd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS 2014) -- NOV 18-20, 2014 -- Madrid, SPAIN | |
| dc.description.abstract | In this paper, we propose a new super resolution technique based on iterative interpolation followed by registering them using back projection (BP). Firstly the low resolution image is interpolated and then decimated to four low resolution images. The four low resolution images are interpolated and registered by using BP in order to generate a sharper high resolution image then high resolution image is down sampled and back to the first step. The proposed method has been tested on some bench mark images. The peak signal-tonoise ratio (PSNR) and structural similarity index (SSIM) results as well as the visual results shows the superiority of the proposed technique over the conventional and state-of-art image super resolution techniques. In Average, the PSNR is 2.72 dB higher than the bicubic interpolation. | |
| dc.description.sponsorship | IEEE,IEEE Sain Sect,Asia Modelling & Simulat Sect,UK Simulat Soc,European Simulat Council,European Council Modelling Simulat,Univ Kingston,Univ Liverpool,Univ Malaysia Sabah,Univ Malaysia Pahang,Univ Malaysia Perlis,Univ Technol Malaysia,Univ Techol Mara,Inst Techol Bandung,Univ Sci Malaysia,Machine Intelligence Res Labs,Nottingham Trent Univ,IEEE Reg 8,Univ Polytechn Madrid | |
| dc.identifier.doi | 10.1109/AIMS.2014.21 | |
| dc.identifier.endpage | 165 | |
| dc.identifier.isbn | 978-1-4799-7600-3 | |
| dc.identifier.orcid | 0000-0001-7692-6705 | |
| dc.identifier.orcid | 0000-0003-2122-2051 | |
| dc.identifier.orcid | 0000-0001-8460-5717 | |
| dc.identifier.orcid | 0000-0002-0183-1282 | |
| dc.identifier.scopus | 2-s2.0-84983168173 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 161 | |
| dc.identifier.uri | https://doi.org/10.1109/AIMS.2014.21 | |
| dc.identifier.uri | https://hdl.handle.net/11129/8803 | |
| dc.identifier.wos | WOS:000380431100028 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 2014 2Nd International Conference on Artificial Intelligence, Modelling and Simulation | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WoS_20260204 | |
| dc.subject | Super resolution | |
| dc.subject | Back Projection Kernel | |
| dc.subject | Image Registration | |
| dc.subject | Image Resolution | |
| dc.subject | High-Resolution Imaging | |
| dc.title | Modified Back Projection Kernel Based Image Super Resolution | |
| dc.type | Conference Object |










