An Efficient Objects Compression Method by Minimizing Objects Number of an Image
In this paper a new lossless objects compression method for images is proposed. The proposed method first the pixels number of all objects within an image and, then, it minimizes the number of these objects without loss for the image content. This method includes three techniques to choose the objec...
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| creator | Mohseen, F.M.A. Mostafa, K.A. Ismail, N.A. Hadhoud, M.M. |
| description | In this paper a new lossless objects compression method for images is proposed. The proposed method first the pixels number of all objects within an image and, then, it minimizes the number of these objects without loss for the image content. This method includes three techniques to choose the objects that will be compressed. In the first technique, all objects within the image are compressed without the largest object. In the second technique, the objects of image are grouped (group by group) depend on their color, and the entire groups are compressed except the largest group. In the third technique, the image objects are compressed, except both the largest group and the objects that have similar objects in shape. To achieve a good value of compression ratio the proposed techniques are combined with other compression methods such as Huffman and differential encoding. |
| doi_str_mv | 10.1109/NRSC.2007.371378 |
| format | Conference Proceeding |
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The proposed method first the pixels number of all objects within an image and, then, it minimizes the number of these objects without loss for the image content. This method includes three techniques to choose the objects that will be compressed. In the first technique, all objects within the image are compressed without the largest object. In the second technique, the objects of image are grouped (group by group) depend on their color, and the entire groups are compressed except the largest group. In the third technique, the image objects are compressed, except both the largest group and the objects that have similar objects in shape. To achieve a good value of compression ratio the proposed techniques are combined with other compression methods such as Huffman and differential encoding.</description><subject>Artificial satellites</subject><subject>Data compression</subject><subject>Image coding</subject><subject>Image compression</subject><subject>Image segmentation</subject><subject>Mathematics</subject><subject>Mobile communication</subject><subject>MPEG 4 Standard</subject><subject>Objects compression</subject><subject>Objects grouping</subject><subject>Pixel</subject><subject>Satellite broadcasting</subject><subject>Shape</subject><isbn>9775031869</isbn><isbn>9789775031860</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9jMtKAzEUQAMiqLV7wU1-YOrNYyaTZRmqFvoQ7b7kTm5qipMpk3FRv15BcXUW53AYuxMwEwLsw-b1rZlJADNTRihTX7Aba0wJStSVvWLTnI8AIGxlQKpr9jJPfBFCbCOlkW_xSO2YedN3p4Fyjn3iaxrfe8_xzNcxxS5-xXT4DzefHdLA-8Bd4svOHeiWXQb3kWn6xwnbPS52zXOx2j4tm_mqiBbGokREWWlLXreulT4Y0IiVLrU2nmqpav0jhS81WFGhdq0VMjhEL2tpZVATdv-7jUS0Pw2xc8N5r6XSQpbqG4CwTH4</recordid><startdate>200703</startdate><enddate>200703</enddate><creator>Mohseen, F.M.A.</creator><creator>Mostafa, K.A.</creator><creator>Ismail, N.A.</creator><creator>Hadhoud, M.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200703</creationdate><title>An Efficient Objects Compression Method by Minimizing Objects Number of an Image</title><author>Mohseen, F.M.A. ; Mostafa, K.A. ; Ismail, N.A. ; Hadhoud, M.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-5bbb2649ed4cac2df704bb645447de8238449e1d540916b4ac912fabbd28292f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Artificial satellites</topic><topic>Data compression</topic><topic>Image coding</topic><topic>Image compression</topic><topic>Image segmentation</topic><topic>Mathematics</topic><topic>Mobile communication</topic><topic>MPEG 4 Standard</topic><topic>Objects compression</topic><topic>Objects grouping</topic><topic>Pixel</topic><topic>Satellite broadcasting</topic><topic>Shape</topic><toplevel>online_resources</toplevel><creatorcontrib>Mohseen, F.M.A.</creatorcontrib><creatorcontrib>Mostafa, K.A.</creatorcontrib><creatorcontrib>Ismail, N.A.</creatorcontrib><creatorcontrib>Hadhoud, M.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>Mohseen, F.M.A.</au><au>Mostafa, K.A.</au><au>Ismail, N.A.</au><au>Hadhoud, M.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An Efficient Objects Compression Method by Minimizing Objects Number of an Image</atitle><btitle>2007 National Radio Science Conference</btitle><stitle>NRSC</stitle><date>2007-03</date><risdate>2007</risdate><spage>1</spage><epage>8</epage><pages>1-8</pages><isbn>9775031869</isbn><isbn>9789775031860</isbn><abstract>In this paper a new lossless objects compression method for images is proposed. The proposed method first the pixels number of all objects within an image and, then, it minimizes the number of these objects without loss for the image content. This method includes three techniques to choose the objects that will be compressed. In the first technique, all objects within the image are compressed without the largest object. In the second technique, the objects of image are grouped (group by group) depend on their color, and the entire groups are compressed except the largest group. In the third technique, the image objects are compressed, except both the largest group and the objects that have similar objects in shape. To achieve a good value of compression ratio the proposed techniques are combined with other compression methods such as Huffman and differential encoding.</abstract><pub>IEEE</pub><doi>10.1109/NRSC.2007.371378</doi><tpages>8</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial satellites Data compression Image coding Image compression Image segmentation Mathematics Mobile communication MPEG 4 Standard Objects compression Objects grouping Pixel Satellite broadcasting Shape |
| title | An Efficient Objects Compression Method by Minimizing Objects Number of an Image |
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