dc.contributor.author | Yağan, Ali Cart | |
dc.contributor.author | Özgen, Melanaet Tonkin | |
dc.date.accessioned | 2019-10-21T20:41:19Z | |
dc.date.available | 2019-10-21T20:41:19Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 9781509064946 | |
dc.identifier.uri | https://dx.doi.org/10.1109/SIU.2017.7960540 | |
dc.identifier.uri | https://hdl.handle.net/11421/20744 | |
dc.description | 25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 18 May 2017 -- -- 128703 | en_US |
dc.description.abstract | In this paper, a spectral graph based image coding method is proposed. In the proposed method, only the smoothing parameter in the graph adjacency matrix, graph Fourier transform (GFT) coefficients kept after hard thresholding and column indices of eigenvectors corresponding to kept coefficients are sent to the decoder side. It is advantageous in that this coding process is performed by sending much less information as compared to other graph based methods. Our results indicate that our proposed method enables image compression without deteriorating the visual quality by using very small numbers of GFT coefficients | en_US |
dc.language.iso | tur | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.isversionof | 10.1109/SIU.2017.7960540 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Graph Fourier Transform | en_US |
dc.subject | Image Coding | en_US |
dc.subject | Signal Processing On Graphs | en_US |
dc.title | A spectral graph based image coding method [Spektral Çizge Tabanli Bir Görüntü Kodlama Yöntemi] | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 | en_US |
dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |