Title :
A new searchless fractal image encoding method for a real-time image compression device
Author :
Ongwattanakul, Songpol ; Wu, Xianwei ; Jackson, David Jeff
Author_Institution :
Electr. & Comput. Eng., Alabama Univ., Tuscaloosa, AL, USA
Abstract :
In this paper, we present a new searchless iterative function system (SIFS) fractal encoding method that encodes image range blocks based on fixed location domain blocks. The advantage of this method is that the fractal code does not contain coordinates (x,y) of the domain-range matched pairs. Therefore, the size of the range block can be as small as 2×2 pixels and still maintain a good compression rate and image quality. A fractal image encoding device based on the new method is implemented and tested. Finally, the experimental results of the fractal encoding device are presented. The results show that the peak signal-to-noise ratio (PSNR) and the compression rate of the reconstructed image are as good as the traditional domain block search methods. An FPGA implementation is capable of encoding a 256×256 8-bit gray-scale image in 0.63 ms. This provides the basis for real-time fractal image compression.
Keywords :
data compression; field programmable gate arrays; fractals; image coding; image reconstruction; iterative decoding; real-time systems; 0.63 ms; 2 pixel; 256 pixel; 4 pixel; 65536 pixel; 8 bit; FPGA; fixed location domain blocks; fractal encoding; fractal image compression; fractal image encoding device; image quality; image reconstruction; real-time image compression; searchless iterative function system; signal-to-noise ratio; Field programmable gate arrays; Fractals; Image coding; Image quality; Image reconstruction; Iterative methods; PSNR; Pixel; Search methods; Testing;
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
DOI :
10.1109/ISCAS.2004.1328907