Forward-Adaptive Method for Context-Based Compression of Large Binary Images
INTRODUCTION Spatial access stands for direct access to image fragments in the compressed file. It is a highly desired property of document imaging applications dealing with spatial data [1,2]. Applications such as Engineering Document Management (EDM) [3] and Geographic Information System (GIS) [4]...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.22.7753 2023-05-15T18:32:40+02:00 Forward-Adaptive Method for Context-Based Compression of Large Binary Images Eugene Ageenko Pasi Fränti For Correspondence The Pennsylvania State University CiteSeerX Archives 1999 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.7753 http://cs.joensuu.fi/pages/ageenko/public/journal/ea_spe99.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.7753 http://cs.joensuu.fi/pages/ageenko/public/journal/ea_spe99.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://cs.joensuu.fi/pages/ageenko/public/journal/ea_spe99.pdf image compression document imaging context modeling JBIG QMcoder text 1999 ftciteseerx 2016-01-07T18:15:30Z INTRODUCTION Spatial access stands for direct access to image fragments in the compressed file. It is a highly desired property of document imaging applications dealing with spatial data [1,2]. Applications such as Engineering Document Management (EDM) [3] and Geographic Information System (GIS) [4] use large format images and therefore benefit from spatial access also. Typical viewing devices have a smaller size and resolution than the raster image and thus, only a small fragment of the entire image may be viewed at a time. Spatial access enables the user to retrieve and decompress only the desired image fragment and eliminate unnecessary delays caused by the retrieval and decompression of the entire image. Spatial access can be supported by tiling, i.e. partitioning the image into fixed size rectangular blocks, which are denoted here as clusters. A cluster index table is constructed from the pointers indicating Text The Pointers Unknown |
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image compression document imaging context modeling JBIG QMcoder |
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image compression document imaging context modeling JBIG QMcoder Eugene Ageenko Pasi Fränti For Correspondence Forward-Adaptive Method for Context-Based Compression of Large Binary Images |
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image compression document imaging context modeling JBIG QMcoder |
description |
INTRODUCTION Spatial access stands for direct access to image fragments in the compressed file. It is a highly desired property of document imaging applications dealing with spatial data [1,2]. Applications such as Engineering Document Management (EDM) [3] and Geographic Information System (GIS) [4] use large format images and therefore benefit from spatial access also. Typical viewing devices have a smaller size and resolution than the raster image and thus, only a small fragment of the entire image may be viewed at a time. Spatial access enables the user to retrieve and decompress only the desired image fragment and eliminate unnecessary delays caused by the retrieval and decompression of the entire image. Spatial access can be supported by tiling, i.e. partitioning the image into fixed size rectangular blocks, which are denoted here as clusters. A cluster index table is constructed from the pointers indicating |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Eugene Ageenko Pasi Fränti For Correspondence |
author_facet |
Eugene Ageenko Pasi Fränti For Correspondence |
author_sort |
Eugene Ageenko |
title |
Forward-Adaptive Method for Context-Based Compression of Large Binary Images |
title_short |
Forward-Adaptive Method for Context-Based Compression of Large Binary Images |
title_full |
Forward-Adaptive Method for Context-Based Compression of Large Binary Images |
title_fullStr |
Forward-Adaptive Method for Context-Based Compression of Large Binary Images |
title_full_unstemmed |
Forward-Adaptive Method for Context-Based Compression of Large Binary Images |
title_sort |
forward-adaptive method for context-based compression of large binary images |
publishDate |
1999 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.7753 http://cs.joensuu.fi/pages/ageenko/public/journal/ea_spe99.pdf |
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The Pointers |
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The Pointers |
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http://cs.joensuu.fi/pages/ageenko/public/journal/ea_spe99.pdf |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.7753 http://cs.joensuu.fi/pages/ageenko/public/journal/ea_spe99.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766216862728716288 |