M. Guggisberg, I. Pontiggia, U. Meyer. Parallel fractal image compression using iterated function systems. Research Report Swiss Scientific Computing Center, No 0, May 1995.
Compressing an image by fractals consists of finding self similar parts in the image and storing only the transformation between these parts. This technique has the advantage of obtaining high compression ratios. The encoding time for fractal compression is extremely high in contrast to the decoding time. The parallel algorithm is implemented on a NEC Cenju-3 using MPI for message passing.
@TechReport{GuPoMe95,
Author = {Guggisberg, M. and Pontiggia, I. and Meyer, U.},
Title = {Parallel fractal image compression using iterated function systems},
Number = {0},
Institution = {Swiss Scientific Computing Center},
Month = {May},
Year = {1995}
}