Open AccessGradient-based interpolation method for division-of-focal-plane polarimeters
Author(s) -
Shengkui Gao,
Viktor Gruev
Publication year - 2013
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.21.001137
Subject(s) - interpolation (computer graphics) , optics , computer science , image resolution , polarization (electrochemistry) , cardinal point , mean squared error , image scaling , multivariate interpolation , computer vision , artificial intelligence , image processing , physics , mathematics , image (mathematics) , chemistry , statistics , bilinear interpolation
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.