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		<identifier>8JMKD3MGPBW34M/3D76ACH</identifier>
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		<isbn>978-85-7669-271-3</isbn>
		<citationkey>AlcaimOliv:1993:QuVeBi</citationkey>
		<title>Quantização Vetorial Binária de Imagens Codificadas por BTC</title>
		<format>Impresso, On-line.</format>
		<year>1993</year>
		<numberoffiles>1</numberoffiles>
		<size>4755 KiB</size>
		<author>Alcaim, Abraham,</author>
		<author>Oliveira, Luciano Vereda,</author>
		<affiliation>IBM Brasil- Centro Científico Rio</affiliation>
		<affiliation>IBM Brasil- Centro Científico Rio</affiliation>
		<editor>Figueiredo, Luiz Henrique de,</editor>
		<editor>Gomes, Jonas de Miranda,</editor>
		<e-mailaddress>cintiagraziele.silva@gmail.com</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)</conferencename>
		<conferencelocation>Recife</conferencelocation>
		<date>19 - 22 out. 1993</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<volume>1</volume>
		<pages>75-80</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>quantificação vetorial, técnica de compressão de imagem, técnica de compressão BTC, processamento de imagens.</keywords>
		<abstract>This paper describes the application of a simple method of classified vector quantization to encode the bit plane generated by BTC image compression technique. Simulation results show that this method achieves a better performance if compared to vector quantization without using classification of image blocks. Moreover, the classified vector quantization approach significantly reduces the complexity of the search procedure in the encoding process.</abstract>
		<type>Processamento de Imagens I</type>
		<language>pt</language>
		<targetfile>9 Quantizacao vetorial binaria de imagens codificadas por btc.pdf</targetfile>
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