PCA-based denoising method for division of focal plane polarimeters
Publisher
OPTICAL SOC AMERCitation
PCA-based denoising method for division of focal plane polarimeters 2017, 25 (3):2391 Optics ExpressJournal
Optics ExpressRights
© 2017 Optical Society of America.Collection Information
This 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 repository@u.library.arizona.edu.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. (C) 2017 Optical Society of AmericaNote
Open access journal.ISSN
1094-4087Version
Final published versionAdditional Links
https://www.osapublishing.org/abstract.cfm?URI=oe-25-3-2391ae974a485f413a2113503eed53cd6c53
10.1364/OE.25.002391