<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>sibgrapi.sid.inpe.br 802</site>
		<holdercode>{ibi 8JMKD3MGPEW34M/46T9EHH}</holdercode>
		<identifier>6qtX3pFwXQZeBBx/w5ujD</identifier>
		<repository>sid.inpe.br/banon/2002/11.06.11.36</repository>
		<lastupdate>2002:11.06.02.00.00 sid.inpe.br/banon/2001/03.30.15.38 administrator</lastupdate>
		<metadatarepository>sid.inpe.br/banon/2002/11.06.11.36.23</metadatarepository>
		<metadatalastupdate>2022:06.14.00.12.08 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2000}</metadatalastupdate>
		<doi>10.1109/SIBGRA.2000.883912</doi>
		<citationkey>ZhaohuiLianSoma:2000:FrCoIm</citationkey>
		<title>Fractal color image compression</title>
		<year>2000</year>
		<numberoffiles>1</numberoffiles>
		<size>622 KiB</size>
		<author>Zhaohui, Li,</author>
		<author>Liang, Zhao,</author>
		<author>Soma, Nei Y.,</author>
		<editor>Carvalho, Paulo Cezar Pinto,</editor>
		<editor>Walter, Marcelo,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)</conferencename>
		<conferencelocation>Gramado, RS, Brazil</conferencelocation>
		<date>17-20 Oct. 2000</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<pages>185-192</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Brazilian Computer Society</organization>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>data compression fractal color image compression Fractal Hierarchical Color Block Coding FHCBC three-color planes one-component image homogeneous blocks pixel trichromatic coefficients threshold value mean value fractal coding decoding process fractal decoding algorithm mean values trichromatic coefficient ratios three-component Separated Fractal Coding performance gains running time compression ratio reconstruction quality.</keywords>
		<abstract>The paper presents a new fractal color image compression method, called Fractal Hierarchical Color Block Coding (FHCBC), which transforms the three-color planes of a color image into a one-component image by extracting correlation among them. It hierarchically divides the three-color planes into homogeneous blocks, and for each such block, the variance of pixels' trichromatic coefficients is within a certain threshold value. Then, each block is represented by its mean value of the pixels' trichromatic coefficient ratios, and just a one-component image is composed and compressed by fractal coding. In the decoding process, the reconstruction is carried out by a fractal decoding algorithm and the associated mean values of trichromatic coefficient ratios. In comparison with the well known three-component Separated Fractal Coding (SFC), the suggested method generates performance gains in running time, high compression ratio and equal level of reconstruction quality.</abstract>
		<targetfile>185-192.pdf</targetfile>
		<usergroup>administrator</usergroup>
		<visibility>shown</visibility>
		<nexthigherunit>8JMKD3MGPEW34M/46PN6AP</nexthigherunit>
		<nexthigherunit>8JMKD3MGPEW34M/4742MCS</nexthigherunit>
		<citingitemlist>sid.inpe.br/sibgrapi/2022/04.27.03.08 2</citingitemlist>
		<hostcollection>sid.inpe.br/banon/2001/03.30.15.38</hostcollection>
		<notes>The conference was held in Gramado, RS, Brazil, from October 17 to 20.</notes>
		<lasthostcollection>sid.inpe.br/banon/2001/03.30.15.38</lasthostcollection>
		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2002/11.06.11.36</url>
	</metadata>
</metadatalist>