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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2000
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1559128X_v39_n8_p1233_Iemmi http://hdl.handle.net/20.500.12110/paper_1559128X_v39_n8_p1233_Iemmi |
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paper:paper_1559128X_v39_n8_p1233_Iemmi2023-06-08T16:23:36Z Gray-level computer-generated hologram filters for multiple-object correlation Iemmi, Claudio César Ledesma, Silvia Adriana Villarreal, Mirta 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. 2000 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1559128X_v39_n8_p1233_Iemmi 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, Claudio César Ledesma, Silvia Adriana Villarreal, Mirta 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. |
| author |
Iemmi, Claudio César Ledesma, Silvia Adriana Villarreal, Mirta |
| author_facet |
Iemmi, Claudio César Ledesma, Silvia Adriana Villarreal, Mirta |
| author_sort |
Iemmi, Claudio César |
| 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 |
| publishDate |
2000 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1559128X_v39_n8_p1233_Iemmi http://hdl.handle.net/20.500.12110/paper_1559128X_v39_n8_p1233_Iemmi |
| work_keys_str_mv |
AT iemmiclaudiocesar graylevelcomputergeneratedhologramfiltersformultipleobjectcorrelation AT ledesmasilviaadriana graylevelcomputergeneratedhologramfiltersformultipleobjectcorrelation AT villarrealmirta graylevelcomputergeneratedhologramfiltersformultipleobjectcorrelation |
| _version_ |
1768543151969009664 |