Title :
Improved image compression using fractal block coding
Author :
Hashemian, Reza ; Marivada, Satyendra
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL
Abstract :
Fractal coding of images is shown to be very efficient compression tool in recent years (Jacquin, 1992; Barnsley; Mandelbrot, 1982; Kapoor et. al, 2003). It is shown that, because of high redundancy present in images a rule-based technique can be used to iteratively reconstruct an image from limited image patterns. In this presentation we offer another efficient technique based fractal block coding (Jacquin, 1992) for image compression. It is shown that this technique substantially reduces the memory requirement, and speeds up the reconstruction
Keywords :
block codes; fractals; image coding; image reconstruction; knowledge based systems; fractal block coding; image compression; image reconstruction; redundancy; rule based technique; Block codes; Decoding; Equations; Fractals; Geometry; Image analysis; Image coding; Image reconstruction; Pattern analysis; Vector quantization;
Conference_Titel :
Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
Conference_Location :
Cairo
Print_ISBN :
0-7803-8294-3
DOI :
10.1109/MWSCAS.2003.1562344