Digital Pictures: Representation and Compression
For thousands of years mankind has been creating pictures which attempt to portray real or imagined scenes as perceived by human vision. Cave drawings, paintings and photographs are able to stimulate the visual system and conjure up thoughts of faraway places, imagined situations or pleasant sensati...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1988
|
| Schriftenreihe: | Applications of Communications Theory
|
| Schlagworte: | |
| Online-Zugang: | BTU01 URL des Erstveröffentlichers |
| Zusammenfassung: | For thousands of years mankind has been creating pictures which attempt to portray real or imagined scenes as perceived by human vision. Cave drawings, paintings and photographs are able to stimulate the visual system and conjure up thoughts of faraway places, imagined situations or pleasant sensations. The art of motion picture creation has advanced to the point where viewers often undergo intense emotional experiences. On-the spot news coverage gives the impression of actually witnessing events as they unfold. Relatively recently, other forms of visual information have been invented which do not, in themselves, stimulate the eye. For example, vol tage variations in an electrical signal, as in television, can represent in analogous fashion the brightness variations in a picture. In this form the visual information can be stored on magnetic tape or transmitted over long distances, and, at least for engineering purposes, it is often much more use ful than other forms which do stimulate human vision. With the evolution of digital techniques for information processing, storage, and transmission, the need arises for digital representation of visual information, that is, the representation of images by a sequence of integer numbers (usually binary). In this form, computer processing and digital circuit techniques can be utilized which were undreamed of only a short time ago. Machine manipulation and interpretation of visual infor mation becomes possible. Sophisticated techniques can be employed for efficient storage of images. And processing methods can be used to significantly reduce the costs of picture transmission |
| Beschreibung: | 1 Online-Ressource (XV, 586 p) |
| ISBN: | 9781468412949 |
| DOI: | 10.1007/978-1-4684-1294-9 |
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| 520 | |a For thousands of years mankind has been creating pictures which attempt to portray real or imagined scenes as perceived by human vision. Cave drawings, paintings and photographs are able to stimulate the visual system and conjure up thoughts of faraway places, imagined situations or pleasant sensations. The art of motion picture creation has advanced to the point where viewers often undergo intense emotional experiences. On-the spot news coverage gives the impression of actually witnessing events as they unfold. Relatively recently, other forms of visual information have been invented which do not, in themselves, stimulate the eye. For example, vol tage variations in an electrical signal, as in television, can represent in analogous fashion the brightness variations in a picture. In this form the visual information can be stored on magnetic tape or transmitted over long distances, and, at least for engineering purposes, it is often much more use ful than other forms which do stimulate human vision. With the evolution of digital techniques for information processing, storage, and transmission, the need arises for digital representation of visual information, that is, the representation of images by a sequence of integer numbers (usually binary). In this form, computer processing and digital circuit techniques can be utilized which were undreamed of only a short time ago. Machine manipulation and interpretation of visual infor mation becomes possible. Sophisticated techniques can be employed for efficient storage of images. And processing methods can be used to significantly reduce the costs of picture transmission | ||
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Datensatz im Suchindex
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| author | Netravali, Arun N. Haskell, Barry G. |
| author_facet | Netravali, Arun N. Haskell, Barry G. |
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| dewey-full | 621.3 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3 |
| dewey-search | 621.3 |
| dewey-sort | 3621.3 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1007/978-1-4684-1294-9 |
| format | Electronic eBook |
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| id | DE-604.BV045185218 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:55Z |
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| isbn | 9781468412949 |
| language | English |
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| series2 | Applications of Communications Theory |
| spelling | Netravali, Arun N. Verfasser aut Digital Pictures Representation and Compression by Arun N. Netravali, Barry G. Haskell Boston, MA Springer US 1988 1 Online-Ressource (XV, 586 p) txt rdacontent c rdamedia cr rdacarrier Applications of Communications Theory For thousands of years mankind has been creating pictures which attempt to portray real or imagined scenes as perceived by human vision. Cave drawings, paintings and photographs are able to stimulate the visual system and conjure up thoughts of faraway places, imagined situations or pleasant sensations. The art of motion picture creation has advanced to the point where viewers often undergo intense emotional experiences. On-the spot news coverage gives the impression of actually witnessing events as they unfold. Relatively recently, other forms of visual information have been invented which do not, in themselves, stimulate the eye. For example, vol tage variations in an electrical signal, as in television, can represent in analogous fashion the brightness variations in a picture. In this form the visual information can be stored on magnetic tape or transmitted over long distances, and, at least for engineering purposes, it is often much more use ful than other forms which do stimulate human vision. With the evolution of digital techniques for information processing, storage, and transmission, the need arises for digital representation of visual information, that is, the representation of images by a sequence of integer numbers (usually binary). In this form, computer processing and digital circuit techniques can be utilized which were undreamed of only a short time ago. Machine manipulation and interpretation of visual infor mation becomes possible. Sophisticated techniques can be employed for efficient storage of images. And processing methods can be used to significantly reduce the costs of picture transmission Engineering Electrical Engineering Electrical engineering Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 s 1\p DE-604 Haskell, Barry G. aut Erscheint auch als Druck-Ausgabe 9781468412963 https://doi.org/10.1007/978-1-4684-1294-9 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Netravali, Arun N. Haskell, Barry G. Digital Pictures Representation and Compression Engineering Electrical Engineering Electrical engineering Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4006684-8 |
| title | Digital Pictures Representation and Compression |
| title_auth | Digital Pictures Representation and Compression |
| title_exact_search | Digital Pictures Representation and Compression |
| title_full | Digital Pictures Representation and Compression by Arun N. Netravali, Barry G. Haskell |
| title_fullStr | Digital Pictures Representation and Compression by Arun N. Netravali, Barry G. Haskell |
| title_full_unstemmed | Digital Pictures Representation and Compression by Arun N. Netravali, Barry G. Haskell |
| title_short | Digital Pictures |
| title_sort | digital pictures representation and compression |
| title_sub | Representation and Compression |
| topic | Engineering Electrical Engineering Electrical engineering Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Engineering Electrical Engineering Electrical engineering Bildverarbeitung |
| url | https://doi.org/10.1007/978-1-4684-1294-9 |
| work_keys_str_mv | AT netravaliarunn digitalpicturesrepresentationandcompression AT haskellbarryg digitalpicturesrepresentationandcompression |