Literature DB >> 19654831

Adapted polarization state contrast image.

Michael Richert1, Xavier Orlik, Antonello De Martino.   

Abstract

We propose a general method to maximize the polarimetric contrast between an object and its background using a predetermined illumination polarization state. After a first estimation of the polarimetric properties of the scene by classical Mueller imaging, we evaluate the incident polarized field that induces scattered polarization states by the object and background, as opposite as possible on the Poincar e sphere. With a detection method optimized for a 2-channel imaging system, Monte Carlo simulations of low flux coherent imaging are performed with various objects and backgrounds having different properties of retardance, dichroism and depolarization. With respect to classical Mueller imaging, possibly associated to the polar decomposition, our results show a noticeable increase in the Bhattacharyya distance used as our contrast parameter.

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Year:  2009        PMID: 19654831     DOI: 10.1364/oe.17.014199

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  1 in total

1.  A Biomimetic Model of Adaptive Contrast Vision Enhancement from Mantis Shrimp.

Authors:  Binbin Zhong; Xin Wang; Xin Gan; Tian Yang; Jun Gao
Journal:  Sensors (Basel)       Date:  2020-08-15       Impact factor: 3.576

  1 in total

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