Abstract:Many animals have visual systems that exploit the polarization of light, and some of these systems are thought to compute difference signals in parallel from arrays of photoreceptors optimally tuned to orthogonal polarizations. We hypothesize that such polarization-difference systems can improve the visibility of objects in scattering media by serving as common-mode rejection amplifiers that reduce the effects of background scattering and amplify the signal from targets whose polarization-difference magnitude … Show more
“…Using such a polarimetric imaging scheme, it is possible to implement various image representations to enhance the contrast of polarimetric non-uniformities in a given scene. Some of the widely used representations that work with varying degrees of performance are OSC image (denoted by γ OSC = (X − X ⊥ )/(X + X ⊥ )) [10] and polarization difference image (denoted by γ ∆ = X − X ⊥ ) [9]. In general, it is interesting to quantitatively compare the best contrast that can be obtained using polarimetric imaging w.r.t.…”
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.
“…Using such a polarimetric imaging scheme, it is possible to implement various image representations to enhance the contrast of polarimetric non-uniformities in a given scene. Some of the widely used representations that work with varying degrees of performance are OSC image (denoted by γ OSC = (X − X ⊥ )/(X + X ⊥ )) [10] and polarization difference image (denoted by γ ∆ = X − X ⊥ ) [9]. In general, it is interesting to quantitatively compare the best contrast that can be obtained using polarimetric imaging w.r.t.…”
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.
“…The concept of PDI is detailed in various literatures [2,6,11]. The light intensity entering a camera can be decomposed into the intensities of the portions of light linearly polarized along two orthogonal directions.…”
Section: A Concept Of Polarization-difference Imaging (Pdi)mentioning
Abstract-For an application of polarization-difference (PD) to determine significantly polarized reflection regions in bad weather, after a theoretical introduction of polarizationdifference imaging (PDI) and dichromatic atmospheric scattering model, a series of experiments are conducted in our research. Those experiments contain three aspects: a queue scheme for image data memory that is applied to reduce noise in the process of polarization image capturing; a comparison of degree of polarization (DOP) of horizontal sky-light on rainy and clear days; an application of PD to determine significantly polarized refection regions in bad weather. Our outdoor experiments indicate that on a rainy day PD can correctively determine the significantly polarized reflection region and on a clear day PD fails to correctly determine significantly polarized reflection regions in an outdoor scene.
“…Indeed, in our previous work we have shown that "biologically inspired polarization-differencing" can extend the distance over which objects can be reliably detected in scattering media up to 3-fold even under conditions when the fractional polarization reaching the detector is less than 1% [18][19][20] Extending the distance for detection and classification of objects near the limit of Page3 visibility increases the time for critical, survival-relevant decisions, and is thus a major advantage in many real-time applications.…”
Section: Background and Motivationmentioning
confidence: 99%
“…In addition to its ability to provide previously unavailable information about scenes, polarization-difference imaging (PDI) improves target detectability in scattering media [18][19][20]. In our previous effort, we investigated the relationship between polarization-sum 1 ' (PS) and polarization-difference (PD) 1 information to determine if the two types of information could be combined into a single image to further enhance target identification [20].…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.