Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

GaAs optical novelty filter

Not Accessible

Your library or personal account may give you access

Abstract

Recently, much attention has been focused on the optical novelty filter1 because of its parallel processing nature. An optical novelty filter is capable of extracting the nonstationary parts of an optical image, i.e., it can simulate the motion-detecting function found in the vision systems of some animals, e.g., frogs, and is potentially useful in the target-tracking system. The optical novelty filter has been implemented using two-beam coupling or four-wave mixing in photorefractive crystals, e.g., BaTiO3. We report the basic properties of a singlepixel GaAs optical novelty filter inplemented using phase conjugate interferometry (four-wave mixing). The relations between the response times of the phase conjugate mirror and the optical novelty filter and between those of the phase modulator (piezomirror) and the optical novelty filter were experimentally investigated. The resolution of an optical novelty filter is discussed and derived. From the derived expression, a photorefractive medium can be selected to yield the maximum output resolution possible. Based on this and the short response time of GaAs, a GaAs optical novelty filter has the potential of being a high resolution device of its kind.

© 1989 Optical Society of America

PDF Article
More Like This
High-Resolution Optical Novelty Filter Using Photorefractive GaAs And High-Speed Nematic Liquid Crystal Phase Modulator

Duncan T. H. Liu, Li-Jen Cheng, and Shin-Tson Wu
JP1 Photorefractive Materials, Effects, and Devices II (PR) 1990

Optical novelty filtering using a phase-grating carrier

Francis T. S. Yu, Shudong Wu, Sumati Rajan, and Andy Mayers
MW5 OSA Annual Meeting (FIO) 1990

Optical novelty filtering using photorefractive fanout

Joseph E. Ford, Y. Fainman, and Sing H. Lee
THBB2 OSA Annual Meeting (FIO) 1988

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.