Title :
An enhanced fractal image compression based on quadtree partition
Author_Institution :
Dept. of Electr. & Comput. Eng., Tehran Univ., Iran
Abstract :
An enhanced fractal image coding based on quadtree partition is presented in this paper. It has the lowest bit rate as well as the highest quality in comparison with other existing schemes. Also, it can obtain higher compression ratio and needs less computation encoding time with minimal loss in PSNR compared with the fixed size partition scheme. Since fractal image modeling is resolution independent, it can lead to significant improvement. Our results show superior performance from the point of view of compression ratio and coding time.
Keywords :
data compression; image coding; image enhancement; quadtrees; domain block reduction scheme; enhanced fractal image compression; image coding; quadtree partition; Bit rate; Electronic mail; Fractals; Image analysis; Image coding; Image resolution; Mean square error methods; PSNR; Partitioning algorithms; Signal processing;
Conference_Titel :
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN :
953-184-061-X
DOI :
10.1109/ISPA.2003.1296896
