Image formation from severely undersampled scalar infrared data sets

Formation of an image from no more than ten, and usually fewer, scalar sensor readings is described. An infrared (IR) signal source is assumed, which placed unusual demands on signal estimation and image construction algorithms. A previously reported signal estimation algorithm predicts an IR sensor's response to various objects. An unconventional image construction algorithm generates a binary image object from sensor-measurements. Synthetic object studies illustrate the effectiveness of the image construction algorithm and demonstrate that image artifacts are suppressed or eliminated by using the largest possible sensor field of view.<
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