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A lossless image compression system using a binary arithmetic coder
In this paper we incorporate a binary arithmetic coder into a predictive lossless image compression scheme. Its idea arises from the observation that a binary arithmetic coder needs much less computation than a multi-symbol one and therefore should run faster. To map the prediction errors to binary...
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creator | Hua Ye Guang Deng Devlin, J.C. |
description | In this paper we incorporate a binary arithmetic coder into a predictive lossless image compression scheme. Its idea arises from the observation that a binary arithmetic coder needs much less computation than a multi-symbol one and therefore should run faster. To map the prediction errors to binary symbols which are fed into the arithmetic coder, Rice code has been adopted because of the Laplacian distribution for prediction errors. Experiments show that the compression performance of this scheme is better than that of LOCO and S+P and is close to that of CALIC. |
doi_str_mv | 10.1109/ICOSP.1998.770338 |
format | conference_proceeding |
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Its idea arises from the observation that a binary arithmetic coder needs much less computation than a multi-symbol one and therefore should run faster. To map the prediction errors to binary symbols which are fed into the arithmetic coder, Rice code has been adopted because of the Laplacian distribution for prediction errors. Experiments show that the compression performance of this scheme is better than that of LOCO and S+P and is close to that of CALIC.</description><identifier>ISBN: 9780780343252</identifier><identifier>ISBN: 0780343255</identifier><identifier>DOI: 10.1109/ICOSP.1998.770338</identifier><language>eng</language><publisher>IEEE</publisher><subject>Arithmetic ; Compression algorithms ; Costs ; Entropy coding ; Image coding ; Laplace equations ; Prediction algorithms ; Probability ; Redundancy ; Testing</subject><ispartof>ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. 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Experiments show that the compression performance of this scheme is better than that of LOCO and S+P and is close to that of CALIC.</description><subject>Arithmetic</subject><subject>Compression algorithms</subject><subject>Costs</subject><subject>Entropy coding</subject><subject>Image coding</subject><subject>Laplace equations</subject><subject>Prediction algorithms</subject><subject>Probability</subject><subject>Redundancy</subject><subject>Testing</subject><isbn>9780780343252</isbn><isbn>0780343255</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotT8tqwzAQFJRCS-oPaE_6AbuSVoq8x2D6CARSaHsOa3udqvgRJPeQv69LOjMwDCzLjBD3WhVaK3zcVvv3t0IjloX3CqC8Ehn6Ui0CC8aZG5Gl9K0WAK6dtbei2sh-SqnnlGQY6MiymYZTXGKYRpnOaeZB_qQwHiXJOowUz5JimL8GnkOzHLcc78R1R33i7N9X4vP56aN6zXf7l2212eVBKzvn6Eq2XtUIYHzjcK07IkayJXjd1qojAy2gZ1SGXUMAVGt2vjHqjx5W4uHyNzDz4RSXvvF8uCyFX34-SQs</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Hua Ye</creator><creator>Guang Deng</creator><creator>Devlin, J.C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1998</creationdate><title>A lossless image compression system using a binary arithmetic coder</title><author>Hua Ye ; Guang Deng ; Devlin, J.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-958e470b93327c5961faae9a48371db0fa23d397e902e5ca33ab1e57c20202073</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Arithmetic</topic><topic>Compression algorithms</topic><topic>Costs</topic><topic>Entropy coding</topic><topic>Image coding</topic><topic>Laplace equations</topic><topic>Prediction algorithms</topic><topic>Probability</topic><topic>Redundancy</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Hua Ye</creatorcontrib><creatorcontrib>Guang Deng</creatorcontrib><creatorcontrib>Devlin, J.C.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore (Online service)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hua Ye</au><au>Guang Deng</au><au>Devlin, J.C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A lossless image compression system using a binary arithmetic coder</atitle><btitle>ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344)</btitle><stitle>ICOSP</stitle><date>1998</date><risdate>1998</risdate><spage>819</spage><epage>822 vol.1</epage><pages>819-822 vol.1</pages><isbn>9780780343252</isbn><isbn>0780343255</isbn><abstract>In this paper we incorporate a binary arithmetic coder into a predictive lossless image compression scheme. Its idea arises from the observation that a binary arithmetic coder needs much less computation than a multi-symbol one and therefore should run faster. To map the prediction errors to binary symbols which are fed into the arithmetic coder, Rice code has been adopted because of the Laplacian distribution for prediction errors. Experiments show that the compression performance of this scheme is better than that of LOCO and S+P and is close to that of CALIC.</abstract><pub>IEEE</pub><doi>10.1109/ICOSP.1998.770338</doi></addata></record> |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Arithmetic Compression algorithms Costs Entropy coding Image coding Laplace equations Prediction algorithms Probability Redundancy Testing |
title | A lossless image compression system using a binary arithmetic coder |
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