Subpixel real-time jitter detection algorithm and implementation for polarimetric and helioseismic imager

The polarimetric and helioseismic imager instrument for the Solar Orbiter mission from the European Space Agency requires a high stability while capturing images, specially for the polarimetric ones. For this reason, an image stabilization system has been included in the instrument. It uses global m...

Descripción completa

Detalles Bibliográficos
Autores: Roma Dollase, David, Carmona Flores, Manuel, Bosch Estrada, José, Casas Bou, Albert, Herms Berenguer, Atilà, López de Miguel, Manuel, Ruiz Sánchez, Óscar, Sabater, Josep, Berkefeld, Thomas, Maue, Thorsten, Nakai, Eiji, Schmidt, Wolfgang, Soltau, Dirk, Volkmer, Reiner, Gómez Cama, José María
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/169639
Acceso en línea:https://hdl.handle.net/2445/169639
Access Level:acceso abierto
Palabra clave:Heliosismologia
El·lipsometria
Camps magnètics (Física còsmica)
Helioseismology
Ellipsometry
Cosmic magnetic fields
Descripción
Sumario:The polarimetric and helioseismic imager instrument for the Solar Orbiter mission from the European Space Agency requires a high stability while capturing images, specially for the polarimetric ones. For this reason, an image stabilization system has been included in the instrument. It uses global motion estimation techniques to estimate the jitter in real time with subpixel resolution. Due to instrument requirements, the algorithm has to be implemented in a Xilinx Virtex-4QV field programmable gate array. The algorithm includes a 2-D paraboloid interpolation algorithm based on 2-D bisection. We describe the algorithm implementation and the tests that have been made to verify its performance. The jitter estimation has a mean error of 125  pixel of the correlation tracking camera. The paraboloid interpolation algorithm provides also better results in terms of resources and time required for the calculation (at least a 20% improvement in both cases) than those based on direct calculation.

Similares en LA Referencia