Compression of ERTS Multispectral Images within Computer
スポンサーリンク
概要
- 論文の詳細を見る
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.
- 一般社団法人情報処理学会の論文
著者
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Onoe Morio
Institute Of Industrial Science University Of Tokyo
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IWASHITA Masao
Institute of Industrial Science, University of Tokyo
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Iwashita Masao
Institute Of Industrial Science University Of Tokyo
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