&lt;title&gt;Real-time fusion of low-light CCD and uncooled IR imagery for color night vision&lt;/title&gt;

Aguilar, Mario; Fay, David A.; Ross, William N.; Waxman, Allen M.; Ireland, David B.; Racamato, Joseph P.

doi:10.1117/12.317462

Cited by 42 publications

(32 citation statements)

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“…By taking three pictures with the polarizer oriented at three different angles, for example q'-=0, 45 and 90 degrees, we can recover Iu, I, and 0 for each pixel of the image using the following expressions: We usually use 0 in the range from 0 to 7c. Polarization camera systems able to rapidly take the required pictures have been developed by Wolff and his colleagues 29-31.…”

Section: Discussionmentioning

confidence: 99%

“…In our group's earlier work, we had shown a bio-inspired mapping for the cases where the original spectral information (i.e., the perceived colors) of the scenes was not of interest [26]. In that mapping, polarizationdifference information was pseudo-color-coded, based on the opponent-colors model of human into a single image that ideally contains all the important information of original images (see e.g., [43][44][45][46][47]). In principle, those fusion techniques can also be used to fuse polarization images with non-polarization images (e.g., intensity-only images).…”

Section: Bio-inspiied Display Of Polarization Information Using Selmentioning

confidence: 99%

“…into a single image that ideally contains all the important information of original images (see e.g., [43][44][45][46][47]). In principle, those fusion techniques can also be used to fuse polarization images with non-polarization images (e.g., intensity-only images).…”

Section: Bio-inspiied Display Of Polarization Information Using Selmentioning

confidence: 99%

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Bio-Inspired Sensing and Display of Polarization Imagery

Engheta¹,

Pugh²

2005

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Polarization is an important feature of electromagnetic waves, and it can be affected by surface shapes, materials, local curvature and features, and relative location of sources and objects, and thus it can provide useful information about the observed scene and objects. Of the several characteristics of visible light, only two -intensity and wavelength -are encoded by the human eye and subsequently mapped by the visual system into perceptual qualities. Intensity is mapped to brightness and wavelength information is mapped to perceived color. In contrast, without appropriate instruments human eyes cannot effectively utilize light's polarization. However, it is well known that eyes of certain animal species are sensitive to the polarization of light. Polarization sensing has mostly been shown to provide information for navigation, as originally discovered by the Nobel laureate Karl von Frisch in his work with honeybees. In addition, it has been hypothesized that some species may have evolved polarization sensitivity as a mechanism of enhancing the contrast of targets in media that scatter light (e.g., under water). Indeed, in our earlier work, we have shown that an optical imaging system utilizing such contrast enhancement through polarization differencing can increase the distance over which targets can be detected, and their critical features discriminated. Thus, "polarization imagery" is a naturally occurring and demonstrably successful strategy for enhancing vision.Since the human eye is effectively polarization-blind, in mapping polarization information into visual displays, the output should be exhibited in a way compatible with the biology of the human visual system. In our group's earlier work, we have shown one such bio-inspired mapping, in which polarization information was pseudo color-coded, based on the opponent-colors model of human vision. The results established several promising imaging strategies for making available in a natural way the contrast enhancement of polarization imagery of objects in scattering media.During our research efforts in the period of March 1, 2002 till December 31, 2004, we have explored and investigated various bio-inspired display methodologies for mapping polarization information into visual information that can be readily perceived by the human visual system, and we have studied those mappings most suitable for specific applications for object detection, scene classifications, and visibility enhancement. We have introduced and developed various imaging algorithms, sensing schemes and visualization and display methodologies inspired -and informeciby biological consideration. Ourresearch efforts have demonstrated that these bio-inspired polarization sensing and imaging techniques enable us to achieve better target detection, enhanced visibility in otherwise low-contrast conditions, longer detection range in optically scattering media, man-made polarizationsensing adaptation based on changing environments, surface deformation/variation detection (e.g., detection ...

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Section: Discussionmentioning

confidence: 99%

Section: Bio-inspiied Display Of Polarization Information Using Selmentioning

confidence: 99%

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Bio-Inspired Sensing and Display of Polarization Imagery

Engheta¹,

Pugh²

2005

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“…The contrast of the resulting color imagery can be improved by mapping a grayscale fused representation of the individual image bands to the luminance component of the resulting color images. The color transfer method presented here can also be applied to remap the color distribution of imagery resulting from existing color fusion methods [2][3][4][5][6][7][8][9][10][11][12][13][14] . A large number of full color examples with scenes of different composition is given elsewhere 24 .…”

Section: Discussionmentioning

confidence: 99%

“…The rapid development of multi-band infrared and visual nightvision systems has led to an increased interest in color fused ergonomic representations of multiple sensor signals [2][3][4][5][6][7][8][9][10][11][12][13][14] . Simply mapping multiple spectral bands of imagery into a three dimensional color space already generates an immediate benefit, since the human eye can discern several thousand colors, whereas it can only distinguish about 100 shades of grey at any instance.…”

Section: Introductionmentioning

confidence: 99%

<title>Color the night: applying daytime colors to nighttime imagery</title>

Toet

2003

SPIE Proceedings

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We present a method to give (fused) multiband night-time imagery a natural day-time color appearance. For input, the method requires a false color RGB image that is produced by mapping 3 individual bands (or the first 3 principal components) of a multiband nightvision system to the respective channels of an RGB image. The false color RGB nightvision image is transformed into a perceptually decorrelated color space. In this color space the first order statistics of a natural color image (target scene) are transferred to the multiband nightvision image (source scene). To obtain a natural color representation of the multiband night-time imagery, the compositions of the source and target scenes should resemble each other to some degree. The inverse transformation to RGB space yields a nightvision image with a day-time color appearance. The luminance contrast of the resulting color image can be enhanced by replacing its luminance component by a grayscale fused representation of the three input bands.

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Multi-focus and Multi-exposure based Color Image Fusion for Concealed Weapon Detection

Upadhyay

Rana

2015

Intelligent Computing and Applications

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<title>Real-time fusion of low-light CCD and uncooled IR imagery for color night vision</title>

Cited by 42 publications

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Bio-Inspired Sensing and Display of Polarization Imagery

Bio-Inspired Sensing and Display of Polarization Imagery

<title>Color the night: applying daytime colors to nighttime imagery</title>

Multi-focus and Multi-exposure based Color Image Fusion for Concealed Weapon Detection

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