Parameter estimation of rotation blurred images based on LOG-polar transform
| Autor: | Xiao Zhou, Xingang Mou, Ruolan Hu, Guilin Zhang |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Log polar
Difference of Gaussians Estimation theory business.industry Track (disk drive) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Rotation around a fixed axis Space (mathematics) Image (mathematics) Computer Science::Graphics Geography Computer Science::Computer Vision and Pattern Recognition Computer vision Artificial intelligence business Rotation (mathematics) ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | The estimation of the blurred parameters is the key to recover the blurred image. In the rotational motion blurred image, the track of blurred is arc and the blurred is not identical in the whole image space. The method based on LOG-polar transform introduced by this paper firstly transform the blurred track from arc to linear, and then estimate the parameter of the rotational motion image with the method based on self-correlation. The experiments showed that the proposal method was effective to estimate the parameter with good precision. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|