1 June 1991 Network compensation for missing sensors
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A network learning algorithm is presented that computes interpolation functions that can compensate for weakened, jittered, or missing elements of a sensor array. The algorithm corrects errors in translation invariance, so prior knowledge of the input images is not required.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Albert J. Ahumada, Jeffrey B. Mulligan, "Network compensation for missing sensors", Proc. SPIE 1453, Human Vision, Visual Processing, and Digital Display II, (1 June 1991); doi: 10.1117/12.44350; https://doi.org/10.1117/12.44350

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