Name
Abstract | ||
|---|---|---|
Knowledge of lens characteristics is important to identify the best lens for a given capture scenario and application. Lens manufacturers provide many specifications in their data sheets, and multiple initiatives for testing and comparing different lenses can be found online. However, due to the lack of a suitable metric or technique, no evaluation of axial chromatic aberration is available.In this paper, we propose a metric, Axial Aberration Magnitude or AAM, that assesses the degree of axial chromatic aberration of a given lens. Our metric is generalizable to multispectral acquisition systems and is very simple and cheap to compute. We present the entire procedure and algorithm for computing the AAM metric, and evaluate it for two spectral systems and two consumer lenses. |
Year | Venue | Keywords |
|---|---|---|
2018 | 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | Axial chromatic aberration, lens assessment metric, chromatic aberration blur |
Field | DocType | ISSN |
Human eye,Computer vision,Pattern recognition,Computer science,Multispectral image,Chromatic aberration,Active appearance model,Lens (optics),Artificial intelligence | Conference | 1522-4880 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Majed El Helou | 1 | 7 | 1.42 |
| Frederike Dümbgen | 2 | 2 | 1.73 |
| Sabine Siisstrunk | 3 | 1 | 0.35 |