Efficient error free chain coding of binary documents
Finite context models improve the performance of chain based encoders to the point that they become attractive, alternative models for binary image compression. The resulting code is within 4% of JBIG at 200 dpi and is 9% more efficient at 400 dpi.
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creator | Estes, R.R. Algazi, V.R. |
description | Finite context models improve the performance of chain based encoders to the point that they become attractive, alternative models for binary image compression. The resulting code is within 4% of JBIG at 200 dpi and is 9% more efficient at 400 dpi. |
doi_str_mv | 10.1109/DCC.1995.515502 |
format | Conference Proceeding |
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The resulting code is within 4% of JBIG at 200 dpi and is 9% more efficient at 400 dpi.</abstract><pub>IEEE</pub><doi>10.1109/DCC.1995.515502</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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identifier | ISSN: 1068-0314 |
ispartof | DCC (Los Alamitos, Calif.), 1995, p.122-131 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Bit rate Clocks Constraint theory Context modeling Data compression Image coding Image processing Performance analysis Shape Upper bound |
title | Efficient error free chain coding of binary documents |
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