Title :
Image coding using a fractal/vector quantization model
Author :
Masselos, K. ; Kittes, G. ; Karayiannis, Y.A. ; Stouraitis, T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Patras Univ., Greece
Abstract :
In this paper a novel image coding scheme, based on combination of fractal and vector quantization techniques is proposed. A two-level coding scheme is described. In the first level, a form of vector quantization is employed to get a rough first-order approximation of the image. In the second level, the residual image, produced after subtracting the first-order approximation from the original image, is coded using a simple, fixed-block size fractal technique. Using fixed block size, the algorithm has a very simple and regular structure. The benefit of the proposed technique is the reduction of the computational complexity in comparison to traditional fractal coding, while the image quality is kept in high levels
Keywords :
computational complexity; fractals; image coding; vector quantisation; computational complexity; first-order approximation; fixed block size; fractal coding; fractal/vector quantization model; hierarchical vector quantization; image coding; residual image; two-level coding scheme; Block codes; Computational complexity; Digital images; Fractals; Image coding; Image quality; Image segmentation; Image texture analysis; Pixel; Vector quantization;
Conference_Titel :
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location :
Santorini
Print_ISBN :
0-7803-4137-6
DOI :
10.1109/ICDSP.1997.628473