Name
Abstract | ||
|---|---|---|
This article considers techniques for accelerating a light field reconstruction algorithm operating in shearlet domain. In the proposed approach, an independent reconstruction of epipolar images (EPIs) is replaced with a consecutive tree-structured reconstruction. It aims at decreasing the number of iterations necessary for an EPI reconstruction by using already processed EPIs as initial values in the reconstruction stage. Two algorithms for structuring such processing trees are presented. The reconstruction performance of the proposed algorithms is illustrated on a real dataset. The underlying differences between the algorithms are discussed and numerical results of computation speeds are presented. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP) | Light field, sparse reconstruction, shearlet, image based rendering |
Field | DocType | Citations |
Iterative reconstruction,Signal processing,Epipolar geometry,Computer science,Algorithm,Image processing,Shearlet,Reconstruction algorithm,Digital image processing,Cluster analysis | Conference | 1 |
PageRank | References | Authors |
0.37 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suren Vagharshakyan | 1 | 36 | 3.43 |
| Robert Bregovic | 2 | 148 | 18.84 |
| Atanas P. Gotchev | 3 | 223 | 38.55 |