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Parallel optical image addition and subtraction in a dynamic photorefractive memory by phase-code multiplexing.

C Denz, T Dellwig, J Lembcke

|October 30, 2009

Summary

This summary is machine-generated.

This study introduces a dynamic phase-encoded photorefractive memory for parallel optical image arithmetic. The method enables optical addition, subtraction, and inversion of stored images using holographic techniques.

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Area of Science:

Optics and Photonics
Holography
Photorefractive Materials

Background:

Holographic data storage offers high density and parallel processing capabilities.
Photorefractive materials like BaTiO(3) are crucial for dynamic holographic memory applications.
Optical image arithmetic is essential for various signal processing tasks.

Purpose of the Study:

To propose and experimentally demonstrate a novel method for parallel optical image arithmetic operations.
To utilize dynamic phase-encoded photorefractive memory for addition, subtraction, and inversion.
To explore the combination of stored images through controlled recall operations.

Main Methods:

Implementation of a dynamic phase-encoded holographic memory in photorefractive Barium Titanate (BaTiO(3)).
Storage of eight images using Walsh-Hadamard binary phase codes and an incremental recording procedure.
Selective subsampling of reference beams during recall to control phase address selectivity.

Main Results:

Successful demonstration of parallel optical addition, subtraction, and inversion of stored images.
Realization of different linear combinations of images at the output by adjusting reference beam subsampling.
Achieved selective recall and combination of phase-encoded holographic data.

Conclusions:

The proposed dynamic phase-encoded photorefractive memory effectively performs parallel optical image arithmetic.
The method allows for flexible linear combinations of stored images via controlled phase address selectivity.
This technique advances holographic data storage for optical computing and signal processing.