Polarization imaging

Solomon, Jerry E.

doi:10.1364/ao.20.001537

Cited by 130 publications

(55 citation statements)

References 13 publications

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“…Thus three measurements of the intensity f i taken with different general orientations ␣ i of the analyzer (see Fig. 1) 12,14,16,19 suffice to determine C, A, and .…”

Section: E Plane-of-incidence Ambiguitymentioning

confidence: 99%

“…10 and 11. Suppressing the virtual layer by incorporating a polarizer into the imaging system is a well-known photographic technique. 1 Progress in this direction is marked by advanced polarizing cameras, 3,[12][13][14][15][16][17][18][19] which were applied in particular for removal of specular reflections superimposed on diffuse scattering from opaque surfaces. 15,18,19 Some previous works attempted to remove the virtual layer by using just the raw output of the polarization analyzer ( Fig.…”

Section: Introductionmentioning

confidence: 99%

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Polarization and statistical analysis of scenes containing a semireflector

2000

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We present an approach to recover scenes deteriorated by reflections off a semireflecting medium (e.g., a glass window). The method, based on imaging through a polarizer at two or more orientations, separates the reflected and transmitted scenes and determines which is which. We analyze the polarization effects, taking into account internal reflections within the medium. The scene reconstruction requires the estimation of the orientation (inclination and tilt angles) of the transparent (invisible) surface. The inclination angle is estimated by seeking the value that leads to the minimal mutual information of the estimated scenes. The limitations and the consequences of noise and angle error are discussed, including a fundamental ambiguity in the determination of the plane of incidence. Experimental results demonstrate the success of angle estimation and consequent scene separation and labeling.

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“…Thus three measurements of the intensity f i taken with different general orientations ␣ i of the analyzer (see Fig. 1) 12,14,16,19 suffice to determine C, A, and .…”

Section: E Plane-of-incidence Ambiguitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Polarization and statistical analysis of scenes containing a semireflector

2000

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“…Presenting photopolarimetric data has had different approaches (Yemelyanov et al, 2003a,b;Tyo et al, 1998;Wolff et al, 1997;Bernard and Wehner, 1977;Solomon, 1981;Engheta and Pugh, 2002). Although some of these suggestions include unique ways to present the extra dimensions needed (e.g.…”

Section: Introductionmentioning

confidence: 99%

Intuitive representation of photopolarimetric data using the polarization ellipse

Gagnon

Marshall

2016

Journal of Experimental Biology

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Photopolarimetry is the spatial characterization of light polarization. Unlike intensity or wavelength, we are largely insensitive to polarization and therefore find it hard to explore the multidimensional data that photopolarimetry produces (two spatial dimensions plus four polarization dimensions). Many different ways for presenting and exploring this modality of light have been suggested. Most of these ignore circular polarization, include multiple image panes that make correlating structure with polarization difficult, and obscure the main trends with overly detailed information and often misleading colour maps. Here, we suggest a novel way for presenting the main results from photopolarimetric analyses. By superimposing a grid of polarization ellipses onto the RGB image, the full polarization state of each cell is intuitively conveyed to the reader. This method presents linear and circular polarization as well as ellipticity in a graphical manner, does not require multiple panes, facilitates the correlation between structure and polarization, and requires the addition of only three novel colours. We demonstrate its usefulness in a biological context where we believe it would be most relevant.

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“…The aim of polarimetric imaging (PI) is to measure spatially resolved polarization properties of a light field, an object, or an optical system [1]. The measured quantities are usually the Stokes parameters of light or the Mueller matrix that characterizes a sample or a system.…”

mentioning

confidence: 99%

“…Although we have focused on an SP based on LC technology, our conclusions are valid for other types of polarimeters, provided that the selected device is itself spatially homogeneous and the relationship between the measured signals and the Stokes parameters is linear, as in Eq. (1). Concerning the SLM that controls the data acquisition process, a TNLCD has been used to project over an object the intensity patterns required by CS.…”

mentioning

confidence: 99%

Single-pixel polarimetric imaging

et al. 2012

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We present an optical system that performs Stokes polarimetric imaging with a single-pixel detector. This fact is possible by applying the theory of compressive sampling to the data acquired by a commercial polarimeter without spatial resolution. The measurement process is governed by a spatial light modulator, which sequentially generates a set of preprogrammed light intensity patterns. Experimental results are presented and discussed for an object that provides an inhomogeneous polarization distribution.

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Polarization imaging

Cited by 130 publications

References 13 publications

Polarization and statistical analysis of scenes containing a semireflector

Polarization and statistical analysis of scenes containing a semireflector

Intuitive representation of photopolarimetric data using the polarization ellipse

Single-pixel polarimetric imaging

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