Multiresolution edge adaptive algorithm for low bit rate image coding
The problem of quantizing sub-images of a multiresolution image decomposition while preserving edges is considered. For this purpose, we propose a coding algorithm which exploits the spatial locations of coefficients within scales. This algorithm, we call edge adaptive quantization, preserves edges...
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| creator | Raffy, P. Antonini, M. Barlaud, M. |
| description | The problem of quantizing sub-images of a multiresolution image decomposition while preserving edges is considered. For this purpose, we propose a coding algorithm which exploits the spatial locations of coefficients within scales. This algorithm, we call edge adaptive quantization, preserves edges while smoothing elsewhere once the different significant coefficients are determined. Spatial adaptation is introduced by considering a new spatially constrained scalar quantizer based on Markov random fields. A criterion based on new spatial models is developed as well as an optimization procedure selecting the optimal quantizer in the distortion-spatial constraints sense. This algorithm is dedicated to low bit rate coding. |
| doi_str_mv | 10.1109/ICIP.1996.559584 |
| format | Conference Proceeding |
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For this purpose, we propose a coding algorithm which exploits the spatial locations of coefficients within scales. This algorithm, we call edge adaptive quantization, preserves edges while smoothing elsewhere once the different significant coefficients are determined. Spatial adaptation is introduced by considering a new spatially constrained scalar quantizer based on Markov random fields. A criterion based on new spatial models is developed as well as an optimization procedure selecting the optimal quantizer in the distortion-spatial constraints sense. This algorithm is dedicated to low bit rate coding.</description><subject>Adaptive algorithm</subject><subject>Algorithm design and analysis</subject><subject>Bit rate</subject><subject>Clustering algorithms</subject><subject>Image coding</subject><subject>Image resolution</subject><subject>Markov random fields</subject><subject>Quantization</subject><subject>Spatial resolution</subject><subject>Wavelet coefficients</subject><isbn>9780780332591</isbn><isbn>0780332598</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT1FLwzAYDIigzL6LT_kDrV_SpE0epUwtTPRhex5J-6VGumWkmeK_NzCPg7uH47gj5J5BxRjox77rPyqmdVNJqaUSV6TQrYLMuuZSsxtSLMsXZAgpuYJbsn47z8lHXMJ8Tj4cKY4TUjOaU_Lf2cxTiD59HqgLkc7hh1qfaDQJqT-YnBzC6I_THbl2Zl6w-NcV2T2vt91ruXl_6bunTekZiFQ2TA9cGKMQURgJSirbqEGOIJxwnGE71NYq6xCdg8a2FhQ2A4C0LecW6xV5uPT63LA_xbwh_u4vX-s_Ov1K9A</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Raffy, P.</creator><creator>Antonini, M.</creator><creator>Barlaud, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>Multiresolution edge adaptive algorithm for low bit rate image coding</title><author>Raffy, P. ; Antonini, M. ; Barlaud, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-619c24aa8eee4a50858b68c5d04f4f21e7c3bb8bfeeff06b7b08e6c005b722be3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Adaptive algorithm</topic><topic>Algorithm design and analysis</topic><topic>Bit rate</topic><topic>Clustering algorithms</topic><topic>Image coding</topic><topic>Image resolution</topic><topic>Markov random fields</topic><topic>Quantization</topic><topic>Spatial resolution</topic><topic>Wavelet coefficients</topic><toplevel>online_resources</toplevel><creatorcontrib>Raffy, P.</creatorcontrib><creatorcontrib>Antonini, M.</creatorcontrib><creatorcontrib>Barlaud, M.</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</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>Raffy, P.</au><au>Antonini, M.</au><au>Barlaud, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multiresolution edge adaptive algorithm for low bit rate image coding</atitle><btitle>Proceedings of 3rd IEEE International Conference on Image Processing</btitle><stitle>ICIP</stitle><date>1996</date><risdate>1996</risdate><volume>1</volume><spage>657</spage><epage>660 vol.1</epage><pages>657-660 vol.1</pages><isbn>9780780332591</isbn><isbn>0780332598</isbn><abstract>The problem of quantizing sub-images of a multiresolution image decomposition while preserving edges is considered. For this purpose, we propose a coding algorithm which exploits the spatial locations of coefficients within scales. This algorithm, we call edge adaptive quantization, preserves edges while smoothing elsewhere once the different significant coefficients are determined. Spatial adaptation is introduced by considering a new spatially constrained scalar quantizer based on Markov random fields. A criterion based on new spatial models is developed as well as an optimization procedure selecting the optimal quantizer in the distortion-spatial constraints sense. This algorithm is dedicated to low bit rate coding.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.1996.559584</doi></addata></record> |
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| ispartof | Proceedings of 3rd IEEE International Conference on Image Processing, 1996, Vol.1, p.657-660 vol.1 |
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| language | eng |
| recordid | cdi_ieee_primary_559584 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive algorithm Algorithm design and analysis Bit rate Clustering algorithms Image coding Image resolution Markov random fields Quantization Spatial resolution Wavelet coefficients |
| title | Multiresolution edge adaptive algorithm for low bit rate image coding |
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