Paper
1 June 1991 Network compensation for missing sensors
Author Affiliations +
Abstract
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 Jr. and Jeffrey B. Mulligan "Network compensation for missing sensors", Proc. SPIE 1453, Human Vision, Visual Processing, and Digital Display II, (1 June 1991); https://doi.org/10.1117/12.44350
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Visualization

Human vision and color perception

Visual process modeling

Calibration

Image filtering

Spatial frequencies

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