Performance evaluation of interpolation algorithms for division of focal plane polarization image sensors

Ashfaq Ahmed, Xiaojin Zhao, Amine Bermak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

This paper compares the performance of nearest neighbor, bilinear, spline, cubic, and cubic above the edges and bilinear below the edges interpolation used for division of focal plane polarization imaging sensors. The analysis is carried out on less sightseen parameters, namely polarized and unpolarized light from Stokes parameters, which convey more polarization information than the degree of polarization. The algorithms are used for a 1.3-mega pixel image sensor operating in the visible light range. Visual image evaluation as well as mean square error analysis is applied to test images. For a car image, cubic interpolation has more reflection removal and enhancement and less mean square error for polarized and unpolarized images.

Original languageEnglish
Title of host publicationProceedings - 2017 4th International Conference on Information Science and Control Engineering, ICISCE 2017
EditorsYing Dai, Shaozi Li, Yun Cheng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1587-1590
Number of pages4
ISBN (Electronic)9781538630136
DOIs
Publication statusPublished - 14 Nov 2017
Event4th International Conference on Information Science and Control Engineering, ICISCE 2017 - Changsha, Hunan, China
Duration: 21 Jul 201723 Jul 2017

Publication series

NameProceedings - 2017 4th International Conference on Information Science and Control Engineering, ICISCE 2017

Conference

Conference4th International Conference on Information Science and Control Engineering, ICISCE 2017
Country/TerritoryChina
CityChangsha, Hunan
Period21/07/1723/07/17

Keywords

  • Interpolation
  • Polarization
  • Stokes parameters
  • Unpolarized

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