author = "Zhaohui, Li and Liang, Zhao and Soma, Nei Y.",
title = "Fractal color image compression",
year = "2000",
editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
pages = "185--192",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13.
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Gramado, RS, Brazil, from October 17 to
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
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 = "October",
organisation = "SBC - Brazilian Computer Society",
targetfile = "185-192.pdf",
urlaccessdate = "2020, Nov. 26"