Residual Interpolation Integrated Pixel-by-Pixel Adaptive Iterative Process for Division of Focal Plane Polarimeters

Residual interpolations are effective methods to reduce the instantaneous field-of-view error of division of focal plane (DoFP) polarimeters. However, their guide-image selection strategies are improper, and do not consider the DoFP polarimeters’ spatial sampling modes. Thus, we propose a residual i...

Full description

Bibliographic Details
Main Authors: Jie Yang, Weiqi Jin, Su Qiu, Fuduo Xue, Meishu Wang
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/4/1529
_version_ 1797476689065803776
author Jie Yang
Weiqi Jin
Su Qiu
Fuduo Xue
Meishu Wang
author_facet Jie Yang
Weiqi Jin
Su Qiu
Fuduo Xue
Meishu Wang
author_sort Jie Yang
collection DOAJ
description Residual interpolations are effective methods to reduce the instantaneous field-of-view error of division of focal plane (DoFP) polarimeters. However, their guide-image selection strategies are improper, and do not consider the DoFP polarimeters’ spatial sampling modes. Thus, we propose a residual interpolation method with a new guide-image selection strategy based on the spatial layout of the pixeled polarizer array to improve the sampling rate of the guide image. The interpolation performance is also improved by the proposed pixel-by-pixel, adaptive iterative process and the weighted average fusion of the results of the minimized residual and minimized Laplacian energy guide filters. Visual and objective evaluations demonstrate the proposed method’s superiority to the existing state-of-the-art methods. The proposed method proves that considering the spatial layout of the pixeled polarizer array on the physical level is vital to improving the performance of interpolation methods for DoFP polarimeters.
first_indexed 2024-03-09T21:06:12Z
format Article
id doaj.art-6d9b4d59de1444068ffbfa204f113182
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-03-09T21:06:12Z
publishDate 2022-02-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-6d9b4d59de1444068ffbfa204f1131822023-11-23T22:01:05ZengMDPI AGSensors1424-82202022-02-01224152910.3390/s22041529Residual Interpolation Integrated Pixel-by-Pixel Adaptive Iterative Process for Division of Focal Plane PolarimetersJie Yang0Weiqi Jin1Su Qiu2Fuduo Xue3Meishu Wang4MOE Key Laboratory of Optoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing 100081, ChinaMOE Key Laboratory of Optoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing 100081, ChinaMOE Key Laboratory of Optoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing 100081, ChinaMOE Key Laboratory of Optoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing 100081, ChinaMOE Key Laboratory of Optoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing 100081, ChinaResidual interpolations are effective methods to reduce the instantaneous field-of-view error of division of focal plane (DoFP) polarimeters. However, their guide-image selection strategies are improper, and do not consider the DoFP polarimeters’ spatial sampling modes. Thus, we propose a residual interpolation method with a new guide-image selection strategy based on the spatial layout of the pixeled polarizer array to improve the sampling rate of the guide image. The interpolation performance is also improved by the proposed pixel-by-pixel, adaptive iterative process and the weighted average fusion of the results of the minimized residual and minimized Laplacian energy guide filters. Visual and objective evaluations demonstrate the proposed method’s superiority to the existing state-of-the-art methods. The proposed method proves that considering the spatial layout of the pixeled polarizer array on the physical level is vital to improving the performance of interpolation methods for DoFP polarimeters.https://www.mdpi.com/1424-8220/22/4/1529demosaicingdivision of focal plane polarimetersiterationresidual interpolation
spellingShingle Jie Yang
Weiqi Jin
Su Qiu
Fuduo Xue
Meishu Wang
Residual Interpolation Integrated Pixel-by-Pixel Adaptive Iterative Process for Division of Focal Plane Polarimeters
Sensors
demosaicing
division of focal plane polarimeters
iteration
residual interpolation
title Residual Interpolation Integrated Pixel-by-Pixel Adaptive Iterative Process for Division of Focal Plane Polarimeters
title_full Residual Interpolation Integrated Pixel-by-Pixel Adaptive Iterative Process for Division of Focal Plane Polarimeters
title_fullStr Residual Interpolation Integrated Pixel-by-Pixel Adaptive Iterative Process for Division of Focal Plane Polarimeters
title_full_unstemmed Residual Interpolation Integrated Pixel-by-Pixel Adaptive Iterative Process for Division of Focal Plane Polarimeters
title_short Residual Interpolation Integrated Pixel-by-Pixel Adaptive Iterative Process for Division of Focal Plane Polarimeters
title_sort residual interpolation integrated pixel by pixel adaptive iterative process for division of focal plane polarimeters
topic demosaicing
division of focal plane polarimeters
iteration
residual interpolation
url https://www.mdpi.com/1424-8220/22/4/1529
work_keys_str_mv AT jieyang residualinterpolationintegratedpixelbypixeladaptiveiterativeprocessfordivisionoffocalplanepolarimeters
AT weiqijin residualinterpolationintegratedpixelbypixeladaptiveiterativeprocessfordivisionoffocalplanepolarimeters
AT suqiu residualinterpolationintegratedpixelbypixeladaptiveiterativeprocessfordivisionoffocalplanepolarimeters
AT fuduoxue residualinterpolationintegratedpixelbypixeladaptiveiterativeprocessfordivisionoffocalplanepolarimeters
AT meishuwang residualinterpolationintegratedpixelbypixeladaptiveiterativeprocessfordivisionoffocalplanepolarimeters