A New Lossless Gray Level Image Representation
Although the quadtree has many merits in image representation and image processing, its compactness is impaired by the excessive emphasis on the symmetry of segmentations. In this paper, a lossless gray level image representation, titled overlapped rectangle image representation (ORIR), is presented...
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| creator | Wei Huang Chuanbo Chen Sarem, M. |
| description | Although the quadtree has many merits in image representation and image processing, its compactness is impaired by the excessive emphasis on the symmetry of segmentations. In this paper, a lossless gray level image representation, titled overlapped rectangle image representation (ORIR), is presented. The ORIR has removed the constraint of the symmetric segmentations and is capable of coding some detached pixels by using a single rectangle. These characteristics have made the ORIR a highly compact representation. The theoretical analyses and the experimental results in this paper show that the ORIR is greatly superior to the linear quadtree in the aspect of the memory efficiency. |
| doi_str_mv | 10.1109/KAMW.2008.4810607 |
| format | Conference Proceeding |
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In this paper, a lossless gray level image representation, titled overlapped rectangle image representation (ORIR), is presented. The ORIR has removed the constraint of the symmetric segmentations and is capable of coding some detached pixels by using a single rectangle. These characteristics have made the ORIR a highly compact representation. The theoretical analyses and the experimental results in this paper show that the ORIR is greatly superior to the linear quadtree in the aspect of the memory efficiency.</description><identifier>ISBN: 1424435307</identifier><identifier>ISBN: 9781424435302</identifier><identifier>EISBN: 9781424435319</identifier><identifier>EISBN: 1424435315</identifier><identifier>DOI: 10.1109/KAMW.2008.4810607</identifier><identifier>LCCN: 2008911104</identifier><language>eng</language><publisher>IEEE</publisher><subject>Color ; Computer science ; image block representation ; Image coding ; Image processing ; Image representation ; Image segmentation ; Image storage ; overlapped rectangle image representation ; Performance analysis ; Pixel ; Software engineering</subject><ispartof>2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, 2008, p.781-785</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4810607$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4810607$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wei Huang</creatorcontrib><creatorcontrib>Chuanbo Chen</creatorcontrib><creatorcontrib>Sarem, M.</creatorcontrib><title>A New Lossless Gray Level Image Representation</title><title>2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop</title><addtitle>KAMW</addtitle><description>Although the quadtree has many merits in image representation and image processing, its compactness is impaired by the excessive emphasis on the symmetry of segmentations. In this paper, a lossless gray level image representation, titled overlapped rectangle image representation (ORIR), is presented. The ORIR has removed the constraint of the symmetric segmentations and is capable of coding some detached pixels by using a single rectangle. These characteristics have made the ORIR a highly compact representation. The theoretical analyses and the experimental results in this paper show that the ORIR is greatly superior to the linear quadtree in the aspect of the memory efficiency.</description><subject>Color</subject><subject>Computer science</subject><subject>image block representation</subject><subject>Image coding</subject><subject>Image processing</subject><subject>Image representation</subject><subject>Image segmentation</subject><subject>Image storage</subject><subject>overlapped rectangle image representation</subject><subject>Performance analysis</subject><subject>Pixel</subject><subject>Software engineering</subject><isbn>1424435307</isbn><isbn>9781424435302</isbn><isbn>9781424435319</isbn><isbn>1424435315</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j91Kw0AUhFekoK15APFmXyBxz579ybkMRWsxKojiZdm4JxJJf8gGpW9vxTo3w8A3AyPEJagCQNH1ffXwVmilysKUoJzyJyIjX4LRxqBFoFMx_Q_KT8T0lyU4dM2ZyFL6VAcZi9q4c1FU8pG_Zb1NqeeU5GIIe1nzF_dyuQ4fLJ95N3DizRjGbru5EJM29Imzo8_E6-3Ny_wur58Wy3lV5x14O-YNo_EtNwqc1i6EqAna4Oldt7FhzZoYY6RoPUbtqAHvLJIJiDFARMCZuPrb7Zh5tRu6dRj2q-Nf_AGZQkVR</recordid><startdate>200812</startdate><enddate>200812</enddate><creator>Wei Huang</creator><creator>Chuanbo Chen</creator><creator>Sarem, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200812</creationdate><title>A New Lossless Gray Level Image Representation</title><author>Wei Huang ; Chuanbo Chen ; Sarem, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-be347feb016226aad291fa79c2fdbe2e29e3dd9d573d269b1765394a33da1d313</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Color</topic><topic>Computer science</topic><topic>image block representation</topic><topic>Image coding</topic><topic>Image processing</topic><topic>Image representation</topic><topic>Image segmentation</topic><topic>Image storage</topic><topic>overlapped rectangle image representation</topic><topic>Performance analysis</topic><topic>Pixel</topic><topic>Software engineering</topic><toplevel>online_resources</toplevel><creatorcontrib>Wei Huang</creatorcontrib><creatorcontrib>Chuanbo Chen</creatorcontrib><creatorcontrib>Sarem, 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 Electronic Library (IEL)</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>Wei Huang</au><au>Chuanbo Chen</au><au>Sarem, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A New Lossless Gray Level Image Representation</atitle><btitle>2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop</btitle><stitle>KAMW</stitle><date>2008-12</date><risdate>2008</risdate><spage>781</spage><epage>785</epage><pages>781-785</pages><isbn>1424435307</isbn><isbn>9781424435302</isbn><eisbn>9781424435319</eisbn><eisbn>1424435315</eisbn><abstract>Although the quadtree has many merits in image representation and image processing, its compactness is impaired by the excessive emphasis on the symmetry of segmentations. In this paper, a lossless gray level image representation, titled overlapped rectangle image representation (ORIR), is presented. The ORIR has removed the constraint of the symmetric segmentations and is capable of coding some detached pixels by using a single rectangle. These characteristics have made the ORIR a highly compact representation. The theoretical analyses and the experimental results in this paper show that the ORIR is greatly superior to the linear quadtree in the aspect of the memory efficiency.</abstract><pub>IEEE</pub><doi>10.1109/KAMW.2008.4810607</doi><tpages>5</tpages></addata></record> |
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| ispartof | 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, 2008, p.781-785 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Color Computer science image block representation Image coding Image processing Image representation Image segmentation Image storage overlapped rectangle image representation Performance analysis Pixel Software engineering |
| title | A New Lossless Gray Level Image Representation |
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