@InProceedings{RilaAlca:1992:CoImSu,
               author = "Rila, Luciano and Alcaim, Abraham",
          affiliation = "{IBM Brasil – Centro Cient{\'{\i}}fico Rio} and {IBM Brasil – 
                         Centro Cient{\'{\i}}fico Rio}",
                title = "Codifica{\c{c}}{\~a}o de imagens em sub-bandas com 
                         quantiza{\c{c}}{\~a}o vetorial inter-bandas particionada",
            booktitle = "Anais...",
                 year = "1992",
               editor = "C{\^a}mara, Gilberto and Gomes, Jonas de Miranda",
                pages = "39--45",
         organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e 
                         Processamento de Imagens, 5. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "codifica{\c{c}}{\~a}o de imagens, sub-bandas, 
                         quantiza{\c{c}}{\~a}o vetorial, inter-bandas, processamento de 
                         imagem.",
             abstract = "Subband coding has proven to be an efficient method for coding 
                         images at low bit rates. In this paper we consider an algorithm to 
                         compress still images which is based on subband coding and 
                         inter-band vector quantization. The image spectrum is decomposed 
                         into 16 uniform bands using 2-D separable quadrature mirror 
                         filters. These 16 bands are used to create 16-dimensional vectors, 
                         which are coded using vector quantization. Our aprouch is to split 
                         these vectors in order to reduce complexity and exploit spectral 
                         properties of the image data. We examine the effects of the bit 
                         allocation at rates of 0.50 bit/pixel and 0.63 bit/pixel. 
                         Simulation results show that the performance is comparable to the 
                         basic coding structure, while complexity is significantly 
                         reduced.",
  conference-location = "{\'A}guas de Lind{\'o}ia, SP, Brazil",
      conference-year = "10-12 Nov. 1992",
                 isbn = "978-85-7669-270-6",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3CRGD6B",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3CRGD6B",
           targetfile = "5 Codificacao de imagens em sub_bandas com quantizacao vetorial 
                         inter_bandas particionada.pdf",
                 type = "Processamento de Imagens",
               volume = "1",
        urlaccessdate = "2024, Apr. 28"
}