title: Gradient-based interpolation method for division-of-focal-plane polarimeters.
abstract: Recent advancements in nanotechnology and nanofabrication have allowed for the emergence of the division-of-focal-plane (DoFP) polarization imaging sensors. These sensors capture polarization properties of the optical field at every imaging frame. However, the DoFP polarization imaging sensors suffer from large registration error as well as reduced spatial-resolution output. These drawbacks can be improved by applying proper image interpolation methods for the reconstruction of the polarization results. In this paper, we present a new gradient-based interpolation method for DoFP polarimeters. The performance of the proposed interpolation method is evaluated against several previously published interpolation methods by using visual examples and root mean square error (RMSE) comparison. We found that the proposed gradient-based interpolation method can achieve better visual results while maintaining a lower RMSE than other interpolation methods under various dynamic ranges of a scene ranging from dim to bright conditions.
authors: Department of Computer Science and Engineering, Washington University in St. Louis, Saint Louis, MO 63130, USA.
authors: Shengkui
authors: S
authors: Gao
authors: Viktor
authors: V
authors: Gruev
mesh_terms: D000465:Algorithms; D000818:Animals; D003952:Diagnostic Imaging / Q000379:methods; D004867:Equipment Design; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008027:Light; D015233:Models, Statistical; D053758:Nanoparticles / Q000737:chemistry; D036103:Nanotechnology / Q000379:methods*; D008121:Nephropidae; D055095:Optics and Photonics; D012031:Refractometry / Q000379:methods*; D015203:Reproducibility of Results