Multicriteria characterization of coding domains with optimal Fourier spatial light modulator filters

Area of Science:

• Optical Engineering
• Image Processing
• Signal Processing

Background:

• Optical correlators are essential for pattern recognition.
• Spatial light modulators (SLMs) are key components in optical correlators.
• Filter design for SLMs involves trade-offs between performance metrics.

Purpose of the Study:

• To introduce a multicriteria optimization method for designing optimal filters for arbitrary spatial light modulators (SLMs).
• To analyze the trade-offs between noise robustness, correlation peak sharpness, and optical efficiency.
• To develop a fast and simple algorithm for filter optimization.

Main Methods:

• A multicriteria optimization approach was developed.
• The method was applied to analyze performance trade-offs.
• A general algorithm was derived, independent of SLM coding constraints.

Main Results:

• The proposed method effectively optimizes filters for SLMs in optical correlators.
• Characterization and comparison of different SLM coding domains were performed.
• Optimal filters were evaluated based on noise robustness, peak sharpness, and optical efficiency.

Conclusions:

• The multicriteria optimization method provides a versatile tool for designing optimal filters.
• The developed algorithm facilitates filter design across various SLM coding constraints.
• The study offers insights into comparing SLM coding domains through filter performance.