Title :
A hybrid fractal-DCT coding scheme for image compression
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
Abstract :
We introduce a new way to use fractal coding for image compression, based on the parallel use of a fractal encoder and a DCT encoder. The two encoders are given the complementary roles to capture the information of edge and smooth variation, and the information of detail respectively. We show the advantage of using this hybrid coding scheme over the use of a fractal encoder alone, or a DCT encoder alone. This coding scheme is also the occasion to demonstrate a new concept of coding by nonlinear feature separation based on regular and uniform algorithms, suitable for real-time VLSI implementation
Keywords :
data compression; discrete cosine transforms; feature extraction; fractals; image coding; transform coding; DCT coding; fractal coding; hybrid coding scheme; image compression; nonlinear feature separation; regular algorithms; uniform algorithms; Bismuth; Bit rate; Concurrent computing; Discrete cosine transforms; Feature extraction; Fractals; Image coding; Image reconstruction; Iterative decoding; Very large scale integration;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559460