Open AccessContrast optimization in broadband passive polarimetric imaging based on color camera
Author(s) -
Zijian Guan,
François Goudail,
Mingxuan Yu,
Xiaobo Li,
Qun Han,
Zhenzhou Cheng,
Haofeng Hu,
Tiegen Liu
Publication year - 2019
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.002444
Subject(s) - monochrome , optics , polarimetry , polarization (electrochemistry) , contrast (vision) , broadband , computer science , artificial intelligence , image sensor , stokes parameters , color difference , computer vision , physics , scattering , enhanced data rates for gsm evolution , chemistry
Broadband polarimetric imaging consists of forming an image under spectrally wide illumination after having optimized the polarization state analyzer (PSA) to maximize the target/background discriminability. In previous works, the image sensor was monochrome, and only the intensity contrast was optimized. However, due to its spectrally varying response, the PSA not only changes the light's intensity, but also its color. This color information can serve as a further parameter to improve discrimination. In this paper, we employ a color camera in a broadband Stokes (passive) polarimetric imaging system and take into color difference's contribution to discrimination ability in optimizing the PSA setting. We show through experiments that a significant improvement of discrimination ability over monochrome imaging is obtained, especially when there are multiple objects in the scene.