Paper
29 September 1994 Mutually optimal coding for optical correlation pattern recognition
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Abstract
A correlator performs better if the input and filter are made compatible with each other. To date, most quantitative work has been spent on improving filters. We give general rules for mutually optimizing input image conversions and filter SLM control. The rules take into account several realistic system considerations, including phase and amplitude coupling of input and filter modulators, inherent system noise, and a wide variety of quadratic ratio metrics.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard D. Juday "Mutually optimal coding for optical correlation pattern recognition", Proc. SPIE 2297, Photonics for Processors, Neural Networks, and Memories II, (29 September 1994); https://doi.org/10.1117/12.187327
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KEYWORDS
Signal to noise ratio

Spatial light modulators

Electronic filtering

Modulators

Optical correlators

Optimal filtering

Image filtering

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