Network compensation for missing sensors
Albert J. Ahumada, Jeffrey B. Mulligan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1991
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.