Gray-level computer-generated hologram filters for multiple-object correlation

Synthesis of gray-level computer-generated holograms allows for an increase of the information storage capability that is usually achieved with conventional binary filters. This is mainly because more degrees of freedom are available. We propose to profit from this feature by synthesizing complex fi...

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Detalles Bibliográficos
Autores principales:	Iemmi, C., Ledesma, S., Campos, J., Villarreal, M.
Formato:	JOUR
Materias:	Binary codes Data storage equipment Degrees of freedom (mechanics) Impulse response Object recognition Optical filters Multiple-object correlation Holograms
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_1559128X_v39_n8_p1233_Iemmi
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_1559128X_v39_n8_p1233_Iemmi
record_format	dspace
spelling	todo:paper_1559128X_v39_n8_p1233_Iemmi2023-10-03T16:26:02Z Gray-level computer-generated hologram filters for multiple-object correlation Iemmi, C. Ledesma, S. Campos, J. Villarreal, M. Binary codes Data storage equipment Degrees of freedom (mechanics) Impulse response Object recognition Optical filters Multiple-object correlation Holograms Synthesis of gray-level computer-generated holograms allows for an increase of the information storage capability that is usually achieved with conventional binary filters. This is mainly because more degrees of freedom are available. We propose to profit from this feature by synthesizing complex filters formed by many superimposed holograms, each with a different carrier frequency. We apply these gray-level filters to perform multichannel correlation and in this way enhance the capability of optical correlators to process the information in parallel and simultaneously. First, we analyze the behavior of some performance criteria on the impulse response and on the correlation as a function of the number of holograms that are multiplexed. Then we show the results of two experiments: In the first a composed phase-only filter is used in a multiple-object recognition process. In the second a composed synthetic discriminant function filter is used to implement an object classification by means of a binary code. © 2000 Optical Society of America. Fil:Iemmi, C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Ledesma, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Villarreal, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_1559128X_v39_n8_p1233_Iemmi
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Binary codes Data storage equipment Degrees of freedom (mechanics) Impulse response Object recognition Optical filters Multiple-object correlation Holograms
spellingShingle	Binary codes Data storage equipment Degrees of freedom (mechanics) Impulse response Object recognition Optical filters Multiple-object correlation Holograms Iemmi, C. Ledesma, S. Campos, J. Villarreal, M. Gray-level computer-generated hologram filters for multiple-object correlation
topic_facet	Binary codes Data storage equipment Degrees of freedom (mechanics) Impulse response Object recognition Optical filters Multiple-object correlation Holograms
description	Synthesis of gray-level computer-generated holograms allows for an increase of the information storage capability that is usually achieved with conventional binary filters. This is mainly because more degrees of freedom are available. We propose to profit from this feature by synthesizing complex filters formed by many superimposed holograms, each with a different carrier frequency. We apply these gray-level filters to perform multichannel correlation and in this way enhance the capability of optical correlators to process the information in parallel and simultaneously. First, we analyze the behavior of some performance criteria on the impulse response and on the correlation as a function of the number of holograms that are multiplexed. Then we show the results of two experiments: In the first a composed phase-only filter is used in a multiple-object recognition process. In the second a composed synthetic discriminant function filter is used to implement an object classification by means of a binary code. © 2000 Optical Society of America.
format	JOUR
author	Iemmi, C. Ledesma, S. Campos, J. Villarreal, M.
author_facet	Iemmi, C. Ledesma, S. Campos, J. Villarreal, M.
author_sort	Iemmi, C.
title	Gray-level computer-generated hologram filters for multiple-object correlation
title_short	Gray-level computer-generated hologram filters for multiple-object correlation
title_full	Gray-level computer-generated hologram filters for multiple-object correlation
title_fullStr	Gray-level computer-generated hologram filters for multiple-object correlation
title_full_unstemmed	Gray-level computer-generated hologram filters for multiple-object correlation
title_sort	gray-level computer-generated hologram filters for multiple-object correlation
url	http://hdl.handle.net/20.500.12110/paper_1559128X_v39_n8_p1233_Iemmi
work_keys_str_mv	AT iemmic graylevelcomputergeneratedhologramfiltersformultipleobjectcorrelation AT ledesmas graylevelcomputergeneratedhologramfiltersformultipleobjectcorrelation AT camposj graylevelcomputergeneratedhologramfiltersformultipleobjectcorrelation AT villarrealm graylevelcomputergeneratedhologramfiltersformultipleobjectcorrelation
_version_	1807317294536196096

Gray-level computer-generated hologram filters for multiple-object correlation

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