`%0 Conference Proceedings`

`%4 sid.inpe.br/banon/2002/11.06.11.36`

`%2 sid.inpe.br/banon/2002/11.06.11.36.23`

`%A Zhaohui, Li,`

`%A Liang, Zhao,`

`%A Soma, Nei Y.,`

`%T Fractal color image compression`

`%B Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)`

`%D 2000`

`%E Carvalho, Paulo Cezar Pinto,`

`%E Walter, Marcelo,`

`%8 October`

`%J Los Alamitos`

`%I IEEE Computer Society`

`%C Gramado, RS, Brazil`

`%K 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.`

`%X 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.`

`%P 185-192`

`%O The conference was held in Gramado, RS, Brazil, from October 17 to 20.`

`%1 SBC - Brazilian Computer Society`

`%3 185-192.pdf`