PCA-based denoising method for division of focal plane polarimeters

Junchao Zhang, Haibo Luo, Rongguang Liang, Wei Zhou, Bin Hui, Zheng Chang

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

Division of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct polarization information. However, current interpolation methods are based on the unrealistic assumption of noise-free images. Thus, it is advantageous to carry out denoising before interpolation. In this paper, we propose a principle component analysis (PCA) based denoising method, which works directly on DoFP images. Both simulated and real DoFP images are used to evaluate the denoising performance. Experimental results show that the proposed method can effectively suppress noise while preserving edges.

Original languageEnglish (US)
Pages (from-to)2391-2400
Number of pages10
JournalOptics Express
Volume25
Issue number3
DOIs
StatePublished - Feb 6 2017

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ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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