Long-range polarimetric imaging through fog

Fade, Julien; Panigrahi, Swapnesh; Carré, Anthony; Frein, Ludovic; Hamel, Cyril; Bretenaker, Fabien; Ramachandran, Hema; Alouini, Mehdi

doi:10.1364/ao.53.003854

Cited by 97 publications

(50 citation statements)

References 37 publications

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“…Julien Fade [14] proposed a simultaneous polarimetric imaging device through fog. In our future work, we will apply a simultaneous azimuth images acquisition formation to make the dehazing method suitable for applications such as navigation.…”

Section: Resultsmentioning

confidence: 99%

Dehazing method through polarimetric imaging and multi-scale analysis

Cao

Shao

Liu

et al. 2015

Satellite Data Compression, Communications, and Processing XI

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An approach for haze removal utilizing polarimetric imaging and multi-scale analysis has been developed to solve one problem that haze weather weakens the interpretation of remote sensing because of the poor visibility and short detection distance of haze images. On the one hand, the polarization effects of the airlight and the object radiance in the imaging procedure has been considered. On the other hand, one fact that objects and haze possess different frequency distribution properties has been emphasized. So multi-scale analysis through wavelet transform has been employed to make it possible for low frequency components that haze presents and high frequency coefficients that image details or edges occupy are processed separately. According to the measure of the polarization feather by Stokes parameters, three linear polarized images (0°, 45°, and 90°) have been taken on haze weather, then the best polarized image min I and the worst one max I can be synthesized. Afterwards, those two polarized images contaminated by haze have been decomposed into different spatial layers with wavelet analysis, and the low frequency images have been processed via a polarization dehazing algorithm while high frequency components manipulated with a nonlinear transform. Then the ultimate haze-free image can be reconstructed by inverse wavelet reconstruction. Experimental results verify that the dehazing method proposed in this study can strongly promote image visibility and increase detection distance through haze for imaging warning and remote sensing systems.

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Section: Resultsmentioning

confidence: 99%

Dehazing method through polarimetric imaging and multi-scale analysis

Cao

Shao

Liu

et al. 2015

Satellite Data Compression, Communications, and Processing XI

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“…We implement a Wollaston prism-based snapshot polarimetric camera [11,13] to allow for real-time polarimetric imaging. The schematic of the camera and its image are shown in Fig.…”

Section: A Snapshot Polarimetric Cameramentioning

confidence: 99%

“…The Wollaston prism (WP) splits the incoming light into orthogonal polarizations with a split angle of 5 • . The resulting two images, namely I and I ⊥ are recorded over a CCD camera and are extracted using the image calibration method described in [13]. A pixel-to-pixel image registration between the two images provides us with the 2D polarimetric image.…”

Section: A Snapshot Polarimetric Cameramentioning

confidence: 99%

“…The OSC image γ OSC , which is commonly used in polarimetric imaging does not provide the best contrast, in fact, the polarization filtered image γ outperforms the OSC in some case. The contrast obtained by using γ OSC has been shown to be worse during night-time measurements in [13]. The CNR values at the labeled time-stamps are given in the table 1, where it can be noticed that during low visibility conditions (time label [I]), the polarization filtered image marginally outperforms all other representations.…”

Section: Long-range Experimental Setup: Enhanced Vision Through Fogmentioning

confidence: 99%

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Contrast enhancement in polarimetric imaging with correlated noise fluctuations

Panigrahi¹,

Fade²,

Alouini³

2015

AIP Conference Proceedings

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Abstract. We compare the measurement precision of a polarimetric camera to that of a simple intensity camera when imaging a partially polarized light-mark embedded in an intense and partially polarized background. We show that the gain in measurement precision while using a polarimetric camera is maximized when the noise fluctuations on the two polarimetric channels are significantly correlated. Further, we implement a snapshot polarimetric camera for long distance imaging of a highly polarized light source through fog and compare the contrast obtained using various representations of the polarimetric images. We show that the representation that provides the best contrast depends on the visibility conditions and matches well with theoretical predictions.

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“…Active polarization imaging technology is a convenient and promising method for imaging in scattering mediums such as fog [5], smoke, tissue, and turbid water [6]. In a scattering medium single-scattering photons preserve their polarization state, whereas multiple-scattering photons are depolarized into random states [7].…”

Section: Introductionmentioning

confidence: 99%

Resolution enhancement in active underwater polarization imaging with modulation transfer function analysis

et al. 2015

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Active polarization imaging technology is a convenient and promising method for imaging in a scattering medium such as fog and turbid water. However, few studies have investigated the influence of polarization on the resolution in underwater imaging. This paper reports on the effects of polarization detection on the resolution of underwater imaging by using active polarization imaging technology. An experimental system is designed to determine the influence under various polarization and water conditions. The modulation transfer function is introduced to estimate the resolution variations at different spatial frequencies. Results show that orthogonal detection supplies the best resolution compared with other polarization directions in the turbid water. The performance of the circular polarization method is better than the linear process. However, if the light propagates under low scattering conditions, such as imaging in clean water or at small optical thickness, the resolution enhancement is not sensitive to the polarization angles.

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Long-range polarimetric imaging through fog

Cited by 97 publications

References 37 publications

Dehazing method through polarimetric imaging and multi-scale analysis

Dehazing method through polarimetric imaging and multi-scale analysis

Contrast enhancement in polarimetric imaging with correlated noise fluctuations

Resolution enhancement in active underwater polarization imaging with modulation transfer function analysis

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