Generalized polarimetric dehazing method based on low-pass filtering in frequency domain

Jian Liang, Haijuan Ju, Liyong Ren, Liming Yang, Rongguang Liang

Research output: Contribution to journalArticle

Abstract

Polarimetric dehazing methods can significantly enhance the quality of hazy images. However, current methods are not robust enough under different imaging conditions. In this paper, we propose a generalized polarimetric dehazing method based on low-pass filtering in the frequency domain. This method can accurately estimate the polarized state of the scattering light automatically without adjusting bias parameters. Experimental results show the effectiveness and robustness of our proposed method in different hazy weather and scattering underwater environments with different densities. Furthermore, computational efficiency is enhanced more than 70% compared to the polarimetric dehazing method we proposed previously.

Original languageEnglish (US)
Article number1729
JournalSensors (Switzerland)
Volume20
Issue number6
DOIs
StatePublished - Mar 2020

Keywords

  • Dehazing
  • Frequency domain
  • Polarimetric imaging

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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