Sparsity-driven despeckling method with low memory usage
| dc.contributor.author | Ozcan, C. | |
| dc.contributor.author | Sen, B. | |
| dc.contributor.author | Nar, F. | |
| dc.date.accessioned | 2024-09-29T16:16:41Z | |
| dc.date.available | 2024-09-29T16:16:41Z | |
| dc.date.issued | 2016 | |
| dc.department | Karabük Üniversitesi | en_US |
| dc.description | 24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- Zonguldak -- 122605 | en_US |
| dc.description.abstract | Speckle noise which is inherent to Synthetic Aperture Radar (SAR) imaging makes it difficult to detect targets and recognize spatial patterns on earth. Thus, despeckling is critical and used as a preprocessing step for smoothing homogeneous regions while preserving features such as edges and point scatterers. In this study, a low-memory version of the previously proposed sparsity-driven despeckling (SDD) method is proposed. All steps of the method are parallelized using OpenMP on CPU and CUDA on GPU. Execution time and despeckling performance are shown using real-world SAR images. © 2016 IEEE. | en_US |
| dc.identifier.doi | 10.1109/SIU.2016.7495993 | |
| dc.identifier.endpage | 1332 | en_US |
| dc.identifier.isbn | 978-150901679-2 | |
| dc.identifier.scopus | 2-s2.0-84982859267 | en_US |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.startpage | 1329 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2016.7495993 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14619/9267 | |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | CUDA | en_US |
| dc.subject | parallel programming | en_US |
| dc.subject | speckle noise | en_US |
| dc.subject | synthetic aperture radar | en_US |
| dc.subject | total variation | en_US |
| dc.title | Sparsity-driven despeckling method with low memory usage | en_US |
| dc.title.alternative | Düsük Hafiza Kullanimli Seyreklik-Güdümlü Benek Gürültü Azaltma Yöntemi | en_US |
| dc.type | Conference Object | en_US |
