Robert Biehl

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The theory of opponent-sensor image fusion is based on neural circuit models of adaptive contrast enhancement and opponent-color interaction, as developed and previously presented by Waxman, Fay et al. This approach can directly fuse 2, 3, 4, and 5 imaging sensors, e.g., VNIR, SWIR, MWIR, LWIR for fused night vision. The opponent-sensor images also provide(More)
Generating real-time fused combinations of VNIR, SWIR and LWIR imagery enhances situational awareness, task performance, and overall image quality. However, no quantitative means to link image quality metrics with task performance exist for fused imaging, the way it does for single modality imaging. We illustrate how fused image quality is affected by(More)
There has been an increase in the number of children with significant chronic illness requiring long-term care, as well as those with significant limitations of activities.’4 This increase is, in large part, the result of improvements in medical care and technologic advances. Among the groups of children with chronic conditions requiring longterm care are(More)
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