DocumentCode :
430898
Title :
Color image compression using FHCBC
Author :
Annadurai, S. ; Satyabama, R. ; Mukilan, P.
Author_Institution :
Dept. of Comput. Sci. Eng., Gov. Coll. of Technol., Tamilnadu, India
Volume :
A
fYear :
2004
fDate :
21-24 Nov. 2004
Firstpage :
367
Abstract :
This 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 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 generate performance gains in running time, high compression ratio and equal level of reconstruction quality.
Keywords :
block codes; data compression; fractals; image coding; image colour analysis; image reconstruction; image representation; image resolution; FHCBC; component image; fractal color image compression method; fractal hierarchical color block coding; image coding; image reconstruction; image representation; image resolution; separated fractal coding; trichromatic coefficient ratio; Block codes; Color; Decoding; Educational institutions; Fractals; Government; Image coding; Image reconstruction; Image storage; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
Type :
conf
DOI :
10.1109/TENCON.2004.1414433
Filename :
1414433
Link To Document :
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