Name
Abstract | ||
|---|---|---|
We consider an acquisition system constituted by an array of sensors scanning an image. Each sensor produces a sequence of readouts, called a time series. In this framework, we discuss the image estimation problem when the time series are affected by noise and by a time shift. In particular, we introduce an appropriate data model and consider the least squares (LS) estimate, showing that it has no... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIP.2016.2592700 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Estimation,Sensors,Instruments,Data models,Mathematical model,Picture archiving and communication systems,Discrete Fourier transforms | Least squares,Computer vision,Data modeling,Synchronization,Photometer,Nonlinear system,Computer science,Spectrometer,Artificial intelligence,Data model,Computational complexity theory | Journal |
Volume | Issue | ISSN |
25 | 9 | 1057-7149 |
Citations | PageRank | References |
1 | 0.41 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorenzo Piazzo | 1 | 195 | 20.32 |
| Maria Carmela Raguso | 2 | 1 | 0.75 |
| Luca Calzoletti | 3 | 1 | 0.41 |
| Roberto Seu | 4 | 19 | 7.37 |
| Bruno Altieri | 5 | 1 | 0.75 |