Multidimensional Processing of Video Signals:
A color time-varying image can be described as a three-dimensional vector (representing the colors in an appropriate color space) defined on a three-dimensional spatiotemporal space. In conventional analog television a one-dimensional signal suitable for transmission over a communication channel is...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
1992
|
Schriftenreihe: | The Springer International Series in Engineering and Computer Science
171 |
Schlagworte: | |
Online-Zugang: | BTU01 URL des Erstveröffentlichers |
Zusammenfassung: | A color time-varying image can be described as a three-dimensional vector (representing the colors in an appropriate color space) defined on a three-dimensional spatiotemporal space. In conventional analog television a one-dimensional signal suitable for transmission over a communication channel is obtained by sampling the scene in the vertical and tem poral directions and by frequency-multiplexing the luminance and chrominance informa tion. In digital processing and transmission systems, sampling is applied in the horizontal direction, too, on a signal which has been already scanned in the vertical and temporal directions or directly in three dimensions when using some solid-state sensor. As a conse quence, in recent years it has been considered quite natural to assess the potential advan tages arising from an entire multidimensional approach to the processing of video signals. As a simple but significant example, a composite color video signal, such as the conven tional PAL or NTSC signal, possesses a three-dimensional spectrum which, by using suitable three-dimensional filters, permits horizontal sampling at a rate which is less than that re quired for correctly sampling the equivalent one-dimensional signal. More recently it has been widely recognized that the improvement of the picture quality in current and advanced television systems requires well-chosen signal processing algorithms which are multidimen sional in nature within the demanding constraints of a real-time implementation |
Beschreibung: | 1 Online-Ressource (IV, 189 p) |
ISBN: | 9781461536161 |
DOI: | 10.1007/978-1-4615-3616-1 |
Internformat
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520 | |a A color time-varying image can be described as a three-dimensional vector (representing the colors in an appropriate color space) defined on a three-dimensional spatiotemporal space. In conventional analog television a one-dimensional signal suitable for transmission over a communication channel is obtained by sampling the scene in the vertical and tem poral directions and by frequency-multiplexing the luminance and chrominance informa tion. In digital processing and transmission systems, sampling is applied in the horizontal direction, too, on a signal which has been already scanned in the vertical and temporal directions or directly in three dimensions when using some solid-state sensor. As a conse quence, in recent years it has been considered quite natural to assess the potential advan tages arising from an entire multidimensional approach to the processing of video signals. As a simple but significant example, a composite color video signal, such as the conven tional PAL or NTSC signal, possesses a three-dimensional spectrum which, by using suitable three-dimensional filters, permits horizontal sampling at a rate which is less than that re quired for correctly sampling the equivalent one-dimensional signal. More recently it has been widely recognized that the improvement of the picture quality in current and advanced television systems requires well-chosen signal processing algorithms which are multidimen sional in nature within the demanding constraints of a real-time implementation | ||
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Datensatz im Suchindex
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any_adam_object | |
author2 | Sicuranza, Giovanni L. Mitra, Sanjit K. |
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dewey-full | 621.3815 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.3815 |
dewey-search | 621.3815 |
dewey-sort | 3621.3815 |
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discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1007/978-1-4615-3616-1 |
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id | DE-604.BV045187168 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:59Z |
institution | BVB |
isbn | 9781461536161 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030576346 |
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physical | 1 Online-Ressource (IV, 189 p) |
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publishDate | 1992 |
publishDateSearch | 1992 |
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publisher | Springer US |
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series2 | The Springer International Series in Engineering and Computer Science |
spelling | Multidimensional Processing of Video Signals edited by Giovanni L. Sicuranza, Sanjit K. Mitra Boston, MA Springer US 1992 1 Online-Ressource (IV, 189 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 171 A color time-varying image can be described as a three-dimensional vector (representing the colors in an appropriate color space) defined on a three-dimensional spatiotemporal space. In conventional analog television a one-dimensional signal suitable for transmission over a communication channel is obtained by sampling the scene in the vertical and tem poral directions and by frequency-multiplexing the luminance and chrominance informa tion. In digital processing and transmission systems, sampling is applied in the horizontal direction, too, on a signal which has been already scanned in the vertical and temporal directions or directly in three dimensions when using some solid-state sensor. As a conse quence, in recent years it has been considered quite natural to assess the potential advan tages arising from an entire multidimensional approach to the processing of video signals. As a simple but significant example, a composite color video signal, such as the conven tional PAL or NTSC signal, possesses a three-dimensional spectrum which, by using suitable three-dimensional filters, permits horizontal sampling at a rate which is less than that re quired for correctly sampling the equivalent one-dimensional signal. More recently it has been widely recognized that the improvement of the picture quality in current and advanced television systems requires well-chosen signal processing algorithms which are multidimen sional in nature within the demanding constraints of a real-time implementation Engineering Circuits and Systems Signal, Image and Speech Processing Electrical Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Computer graphics Electrical engineering Electronic circuits Bildsignal (DE-588)4122924-1 gnd rswk-swf Mehrdimensionale Signalverarbeitung (DE-588)4270290-2 gnd rswk-swf Mehrdimensionale Signalverarbeitung (DE-588)4270290-2 s Bildsignal (DE-588)4122924-1 s 1\p DE-604 Sicuranza, Giovanni L. edt Mitra, Sanjit K. edt Erscheint auch als Druck-Ausgabe 9781461366072 https://doi.org/10.1007/978-1-4615-3616-1 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Multidimensional Processing of Video Signals Engineering Circuits and Systems Signal, Image and Speech Processing Electrical Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Computer graphics Electrical engineering Electronic circuits Bildsignal (DE-588)4122924-1 gnd Mehrdimensionale Signalverarbeitung (DE-588)4270290-2 gnd |
subject_GND | (DE-588)4122924-1 (DE-588)4270290-2 |
title | Multidimensional Processing of Video Signals |
title_auth | Multidimensional Processing of Video Signals |
title_exact_search | Multidimensional Processing of Video Signals |
title_full | Multidimensional Processing of Video Signals edited by Giovanni L. Sicuranza, Sanjit K. Mitra |
title_fullStr | Multidimensional Processing of Video Signals edited by Giovanni L. Sicuranza, Sanjit K. Mitra |
title_full_unstemmed | Multidimensional Processing of Video Signals edited by Giovanni L. Sicuranza, Sanjit K. Mitra |
title_short | Multidimensional Processing of Video Signals |
title_sort | multidimensional processing of video signals |
topic | Engineering Circuits and Systems Signal, Image and Speech Processing Electrical Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Computer graphics Electrical engineering Electronic circuits Bildsignal (DE-588)4122924-1 gnd Mehrdimensionale Signalverarbeitung (DE-588)4270290-2 gnd |
topic_facet | Engineering Circuits and Systems Signal, Image and Speech Processing Electrical Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Computer graphics Electrical engineering Electronic circuits Bildsignal Mehrdimensionale Signalverarbeitung |
url | https://doi.org/10.1007/978-1-4615-3616-1 |
work_keys_str_mv | AT sicuranzagiovannil multidimensionalprocessingofvideosignals AT mitrasanjitk multidimensionalprocessingofvideosignals |