@InProceedings{ZhaohuiLianSoma:2000:FrCoIm,
               author = "Zhaohui, Li and Liang, Zhao and Soma, Nei Y.",
                title = "Fractal color image compression",
            booktitle = "Proceedings...",
                 year = "2000",
               editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
                pages = "185--192",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Gramado, RS, Brazil, from October 17 to 
                         20.",
             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.",
             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.",
  conference-location = "Gramado, RS, Brazil",
      conference-year = "17-20 Oct. 2000",
                  doi = "10.1109/SIBGRA.2000.883912",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2000.883912",
         organisation = "SBC - Brazilian Computer Society",
                  ibi = "6qtX3pFwXQZeBBx/w5ujD",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/w5ujD",
           targetfile = "185-192.pdf",
        urlaccessdate = "2024, May 04"
}