Name
Abstract | ||
|---|---|---|
Trichromatic digital camera has been used for spectral imaging, but spectral reconstructive accuracy is poor if actual digital responses are directly used in linear imaging model. The linearity of Nikon D700 is analyzed, and a new radiation intensity-based linearization technique is put forward, whose performance is verified and compared with other linearization methods. For nonlinear imaging system, the polynomial regression is verified which is more appropriate than other algorithms based on linear imaging system. Especially, if actual digital camera responses are linearized firstly, the accuracy of model can be improved greatly. © 2013 ACADEMY PUBLISHER. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.4304/jsw.8.4.939-946 | JSW |
Keywords | Field | DocType |
linearization,polynomial regression method,spectral reconstruction | Computer vision,Radiant intensity,Spectral imaging,Nonlinear system,Computer science,Polynomial regression,Linearity,Digital camera,Artificial intelligence,Linearization | Journal |
Volume | Issue | Citations |
8 | 4 | 1 |
PageRank | References | Authors |
0.35 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Songhua He | 1 | 1 | 1.03 |
| Bo Li | 2 | 111 | 39.58 |