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Reference TypeConference Paper (Conference Proceedings)
Last Update2002: administrator
Metadata Last Update2020: administrator
Citation KeyZhaohuiLianSoma:2000:FrCoIm
TitleFractal color image compression
Access Date2021, Jan. 19
Number of Files1
Size622 KiB
Context area
Author1 Zhaohui, Li
2 Liang, Zhao
3 Soma, Nei Y.
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History2008-07-17 14:10:50 :: administrator -> banon ::
2008-08-26 15:23:01 :: banon -> administrator ::
2009-08-13 20:36:57 :: administrator -> banon ::
2010-08-28 20:00:09 :: banon -> administrator ::
2020-02-19 02:58:51 :: administrator -> :: 2000
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Keywordsdata 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.
AbstractThe 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.
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NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
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