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Compression of ERTS Multispectral Images within Computer
https://ipsj.ixsq.nii.ac.jp/records/60072
https://ipsj.ixsq.nii.ac.jp/records/60072a74a7e5b-71d8-4557-922b-5a40ae83c252
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-InfP1700029.pdf (344.9 kB)
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Copyright (c) 1977 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | InfP(1) | |||||||
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| 公開日 | 1977-01-01 | |||||||
| タイトル | ||||||||
| タイトル | Compression of ERTS Multispectral Images within Computer | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Compression of ERTS Multispectral Images within Computer | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
| 資源タイプ | journal article | |||||||
| 著者所属 | ||||||||
| Institute of Industrial Science University of Tokyo | ||||||||
| 著者所属 | ||||||||
| Institute of Industrial Science University of Tokyo | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Institute of Industrial Science, University of Tokyo | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Institute of Industrial Science, University of Tokyo | ||||||||
| 著者名 |
Morio, Onoe
× Morio, Onoe
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| 著者名(英) |
Morio, Onoe
× Morio, Onoe
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | When large images such as ERTS multispectral images are processed by a system using a minicomputer data compression is desirable for more efficient uses of anxiliary memories. Although much work has been done on bandwidth compression in image communication it is not directly applicable to data compression within computer. This paper pointed out major differences and presents an algorithm for data compression and restoration which is based on Huffman code. An implementation in a minicomputer (HP-2100) shows that the compression ratio of 1/2.54 for ERTS data is obtained and the processing time is comparable in comparison with the time for data transfer. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | When large images such as ERTS multispectral images are processed by a system using a minicomputer, data compression is desirable for more efficient uses of anxiliary memories. Although much work has been done on bandwidth compression in image communication, it is not directly applicable to data compression within computer. This paper pointed out major differences and presents an algorithm for data compression and restoration, which is based on Huffman code. An implementation in a minicomputer (HP-2100) shows that the compression ratio of 1/2.54 for ERTS data is obtained and the processing time is comparable in comparison with the time for data transfer. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AA00674393 | |||||||
| 書誌情報 |
Information Processing in Japan 巻 17, 号 0, p. 164-169, 発行日 1977-01-01 |
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| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
