Network Compensation for Missing Sensors  (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.

+ Mulligan, Jeffrey

+ Ahumada, Albert

+ Mulligan, Jeffrey

+ Vision Science and Technology

Compensation, Missing, Network, Sensors

Proc. SPIE/SPSE Conference 1453 on Human Vision, Visual Processing, and Visual Display II, 134-146

  Ahumada_Mulligan_1991_SPIE.pdf (Download Acrobat Reader )
  (75KB) (application/pdf)