PCA-based denoising method for division of focal plane polarimeters
AffiliationUniv Arizona, Ctr Opt Sci
MetadataShow full item record
PublisherOPTICAL SOC AMER
CitationPCA-based denoising method for division of focal plane polarimeters 2017, 25 (3):2391 Optics Express
Rights© 2017 Optical Society of America
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractDivision 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. (C) 2017 Optical Society of America
NoteOpen access journal.
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