<title>Biologically based sensor fusion for medical imaging</title>

On multisensor image fusion performance limits from an estimation theory perspective

“…The first term on the right hand side of (39) is larger than that in (40) since each cdf in the product is larger by (37). For the second and third terms we also have a similar conclusion due to (37) (first two terms in the products) and (38) (for the last term in the product).…”

Advances in the use of neurophysiologycally-based fusion for visualization and pattern recognition of medical imagery

“…For this investigation, we used both morphological and functional imaging modalities [6] obtained from the Whole Brain Atlas (WBA) web site [7]. The imagery obtained was spatially registered across modalities by the original authors of the WBA.…”

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

“…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 .…”

“…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.…”