Name
Abstract | ||
|---|---|---|
In the present paper, the almost periodicity of the first principal components is studied, with the aim of being able to use less information in order to obtain acceptable reconstructions of compressed images. The results of this study show that by working with the periodic principal components of images under analysis, it is possible to obtain an additional reduction to that obtained by using the original principal components. Specifically, it is shown that if the principal components that are considered periodic are replaced by their period plus a trend, it can be said that the reconstruction achieved using these periodic principal components is very close to the reconstruction achieved using the original principal components. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/IECON.2019.8926747 | IECON |
Field | DocType | Citations |
Iterative reconstruction,Control theory,Image coding,Algorithm,Engineering,Periodic graph (geometry),Image compression,Principal component analysis | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wilmar Hernandez | 1 | 28 | 15.89 |
| Willam Bladimir Cevallos Cevallos | 2 | 0 | 0.34 |
| Alfredo Méndez | 3 | 0 | 0.68 |
| Pablo-Alejandro Quezada-Sarmiento | 4 | 0 | 0.34 |
| Luis Alberto Jumbo-Flores | 5 | 0 | 0.34 |
| Paolo Mercorelli | 6 | 64 | 30.42 |
| Vera Tyrsa | 7 | 32 | 11.89 |
| Patricia Acosta-Vargas | 8 | 0 | 0.34 |
| Ivan Menes Camejo | 9 | 0 | 0.34 |
| Jose Rigoberto Muñoz Cagua | 10 | 0 | 0.34 |