Title :
Fractal based image compression with affine transformations
Author :
Raittinen, H. ; Kaski, Kimmo
Author_Institution :
Dept. of Electr. Eng., Tampere Univ. of Technol., Finland
Abstract :
As the needs for information transfer and storage increase, data coding and compression become increasingly important in applications such as digital HDTV, telefax, ISDN and image data bases. The authors have developed a fractal image compression method and tested it with binary (black and white) images. The decoded results are similar to the original images. The compression ratios are found to be extremely high
Keywords :
ISDN; data compression; fractals; high definition television; image coding; visual databases; ISDN; affine transformations; compression ratios; data coding; digital HDTV; fractal image compression; image data bases; telefax; Extraterrestrial measurements; Fractals; Image coding; Image storage; Inverse problems; Iterative decoding; Nearest neighbor searches; Simulated annealing; Testing;
Conference_Titel :
Data Compression Conference, 1993. DCC '93.
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-3392-1
DOI :
10.1109/DCC.1993.253125
